---
_id: '34045'
article_number: '135053'
author:
- first_name: Christin
full_name: Hoffmann, Christin
last_name: Hoffmann
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Hoffmann C, Thommes K. Clear Roads and Dirty Air? Indirect effects of reduced
private traffic congestion on emissions from heavy traffic. Journal of Cleaner
Production. Published online 2022. doi:10.1016/j.jclepro.2022.135053
apa: Hoffmann, C., & Thommes, K. (2022). Clear Roads and Dirty Air? Indirect
effects of reduced private traffic congestion on emissions from heavy traffic.
Journal of Cleaner Production, Article 135053. https://doi.org/10.1016/j.jclepro.2022.135053
bibtex: '@article{Hoffmann_Thommes_2022, title={Clear Roads and Dirty Air? Indirect
effects of reduced private traffic congestion on emissions from heavy traffic},
DOI={10.1016/j.jclepro.2022.135053},
number={135053}, journal={Journal of Cleaner Production}, publisher={Elsevier
BV}, author={Hoffmann, Christin and Thommes, Kirsten}, year={2022} }'
chicago: Hoffmann, Christin, and Kirsten Thommes. “Clear Roads and Dirty Air? Indirect
Effects of Reduced Private Traffic Congestion on Emissions from Heavy Traffic.”
Journal of Cleaner Production, 2022. https://doi.org/10.1016/j.jclepro.2022.135053.
ieee: 'C. Hoffmann and K. Thommes, “Clear Roads and Dirty Air? Indirect effects
of reduced private traffic congestion on emissions from heavy traffic,” Journal
of Cleaner Production, Art. no. 135053, 2022, doi: 10.1016/j.jclepro.2022.135053.'
mla: Hoffmann, Christin, and Kirsten Thommes. “Clear Roads and Dirty Air? Indirect
Effects of Reduced Private Traffic Congestion on Emissions from Heavy Traffic.”
Journal of Cleaner Production, 135053, Elsevier BV, 2022, doi:10.1016/j.jclepro.2022.135053.
short: C. Hoffmann, K. Thommes, Journal of Cleaner Production (2022).
date_created: 2022-11-10T07:48:07Z
date_updated: 2022-11-10T07:48:18Z
department:
- _id: '178'
- _id: '184'
doi: 10.1016/j.jclepro.2022.135053
keyword:
- Industrial and Manufacturing Engineering
- Strategy and Management
- General Environmental Science
- Renewable Energy
- Sustainability and the Environment
- Building and Construction
language:
- iso: eng
publication: Journal of Cleaner Production
publication_identifier:
issn:
- 0959-6526
publication_status: published
publisher: Elsevier BV
status: public
title: Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion
on emissions from heavy traffic
type: journal_article
user_id: '72497'
year: '2022'
...
---
_id: '34213'
abstract:
- lang: eng
text: In this paper, a study based on experimental and numerical simulations is
performed to analyze fatigue cracks in clinched joints. An experimental investigation
is conducted to determine the failure modes of clinched joints under cyclic loading
at different load amplitudes with single-lap shear tests. In addition, numerical
FEM simulations of clinching process and subsequent shear loading are performed
to support the experimental investigations by analyzing the state of stresses
at the location of failure. An attempt is made to explain the location of crack
initiation in the experiments using evaluation variables such as contact shear
stress and maximum principal stress.
author:
- first_name: L.
full_name: Ewenz, L.
last_name: Ewenz
- first_name: Christian Roman
full_name: Bielak, Christian Roman
id: '34782'
last_name: Bielak
- first_name: Mortaza
full_name: Otroshi, Mortaza
id: '71269'
last_name: Otroshi
orcid: 0000-0002-8652-9209
- first_name: Mathias
full_name: Bobbert, Mathias
id: '7850'
last_name: Bobbert
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
- first_name: M.
full_name: Zimmermann, M.
last_name: Zimmermann
citation:
ama: Ewenz L, Bielak CR, Otroshi M, Bobbert M, Meschut G, Zimmermann M. Numerical
and experimental identification of fatigue crack initiation sites in clinched
joints. Production Engineering. 2022;16(2-3):305-313. doi:10.1007/s11740-022-01124-z
apa: Ewenz, L., Bielak, C. R., Otroshi, M., Bobbert, M., Meschut, G., & Zimmermann,
M. (2022). Numerical and experimental identification of fatigue crack initiation
sites in clinched joints. Production Engineering, 16(2–3), 305–313.
https://doi.org/10.1007/s11740-022-01124-z
bibtex: '@article{Ewenz_Bielak_Otroshi_Bobbert_Meschut_Zimmermann_2022, title={Numerical
and experimental identification of fatigue crack initiation sites in clinched
joints}, volume={16}, DOI={10.1007/s11740-022-01124-z},
number={2–3}, journal={Production Engineering}, publisher={Springer Science and
Business Media LLC}, author={Ewenz, L. and Bielak, Christian Roman and Otroshi,
Mortaza and Bobbert, Mathias and Meschut, Gerson and Zimmermann, M.}, year={2022},
pages={305–313} }'
chicago: 'Ewenz, L., Christian Roman Bielak, Mortaza Otroshi, Mathias Bobbert, Gerson
Meschut, and M. Zimmermann. “Numerical and Experimental Identification of Fatigue
Crack Initiation Sites in Clinched Joints.” Production Engineering 16,
no. 2–3 (2022): 305–13. https://doi.org/10.1007/s11740-022-01124-z.'
ieee: 'L. Ewenz, C. R. Bielak, M. Otroshi, M. Bobbert, G. Meschut, and M. Zimmermann,
“Numerical and experimental identification of fatigue crack initiation sites in
clinched joints,” Production Engineering, vol. 16, no. 2–3, pp. 305–313,
2022, doi: 10.1007/s11740-022-01124-z.'
mla: Ewenz, L., et al. “Numerical and Experimental Identification of Fatigue Crack
Initiation Sites in Clinched Joints.” Production Engineering, vol. 16,
no. 2–3, Springer Science and Business Media LLC, 2022, pp. 305–13, doi:10.1007/s11740-022-01124-z.
short: L. Ewenz, C.R. Bielak, M. Otroshi, M. Bobbert, G. Meschut, M. Zimmermann,
Production Engineering 16 (2022) 305–313.
date_created: 2022-12-05T21:12:10Z
date_updated: 2022-12-05T21:14:34Z
doi: 10.1007/s11740-022-01124-z
intvolume: ' 16'
issue: 2-3
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
language:
- iso: eng
page: 305-313
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '135'
name: 'TRR 285 – A01: TRR 285 - Subproject A01'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '141'
name: 'TRR 285 – B02: TRR 285 - Subproject B02'
publication: Production Engineering
publication_identifier:
issn:
- 0944-6524
- 1863-7353
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Numerical and experimental identification of fatigue crack initiation sites
in clinched joints
type: journal_article
user_id: '7850'
volume: 16
year: '2022'
...
---
_id: '34417'
abstract:
- lang: eng
text: Given strict emission targets and legal requirements, especially in the automotive
industry, environmentally friendly and simultaneously versatile applicable production
technologies are gaining importance. In this regard, the use of mechanical joining
processes, such as clinching, enable assembly sheet metals to achieve strength
properties similar to those of established thermal joining technologies. However,
to guarantee a high reliability of the generated joint connection, the selection
of a best-fitting joining technology as well as the meaningful description of
individual joint properties is essential. In the context of clinching, few contributions
have to date investigated the metamodel-based estimation and optimization of joint
characteristics, such as neck or interlock thickness, by applying machine learning
and genetic algorithms. Therefore, several regression models have been trained
on varying databases and amounts of input parameters. However, if product engineers
can only provide limited data for a new joining task, such as incomplete information
on applied joining tool dimensions, previously trained metamodels often reach
their limits. This often results in a significant loss of prediction quality and
leads to increasing uncertainties and inaccuracies within the metamodel-based
design of a clinch joint connection. Motivated by this, the presented contribution
investigates different machine learning algorithms regarding their ability to
achieve a satisfying estimation accuracy on limited input data applying a statistically
based feature selection method. Through this, it is possible to identify which
regression models are suitable to predict clinch joint characteristics considering
only a minimum set of required input features. Thus, in addition to the opportunity
to decrease the training effort as well as the model complexity, the subsequent
formulation of design equations can pave the way to a more versatile application
and reuse of pretrained metamodels on varying tool configurations for a given
clinch joining task.
author:
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
citation:
ama: Zirngibl C, Schleich B, Wartzack S. Estimation of Clinch Joint Characteristics
Based on Limited Input Data Using Pre-Trained Metamodels. AI. 2022;3(4):990-1006.
doi:10.3390/ai3040059
apa: Zirngibl, C., Schleich, B., & Wartzack, S. (2022). Estimation of Clinch
Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels.
AI, 3(4), 990–1006. https://doi.org/10.3390/ai3040059
bibtex: '@article{Zirngibl_Schleich_Wartzack_2022, title={Estimation of Clinch Joint
Characteristics Based on Limited Input Data Using Pre-Trained Metamodels}, volume={3},
DOI={10.3390/ai3040059}, number={4},
journal={AI}, publisher={MDPI AG}, author={Zirngibl, Christoph and Schleich, Benjamin
and Wartzack, Sandro}, year={2022}, pages={990–1006} }'
chicago: 'Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. “Estimation
of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained
Metamodels.” AI 3, no. 4 (2022): 990–1006. https://doi.org/10.3390/ai3040059.'
ieee: 'C. Zirngibl, B. Schleich, and S. Wartzack, “Estimation of Clinch Joint Characteristics
Based on Limited Input Data Using Pre-Trained Metamodels,” AI, vol. 3,
no. 4, pp. 990–1006, 2022, doi: 10.3390/ai3040059.'
mla: Zirngibl, Christoph, et al. “Estimation of Clinch Joint Characteristics Based
on Limited Input Data Using Pre-Trained Metamodels.” AI, vol. 3, no. 4,
MDPI AG, 2022, pp. 990–1006, doi:10.3390/ai3040059.
short: C. Zirngibl, B. Schleich, S. Wartzack, AI 3 (2022) 990–1006.
date_created: 2022-12-14T12:32:29Z
date_updated: 2022-12-14T13:43:53Z
doi: 10.3390/ai3040059
intvolume: ' 3'
issue: '4'
keyword:
- Industrial and Manufacturing Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2673-2688/3/4/59
oa: '1'
page: 990-1006
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
publication: AI
publication_identifier:
issn:
- 2673-2688
publication_status: published
publisher: MDPI AG
status: public
title: Estimation of Clinch Joint Characteristics Based on Limited Input Data Using
Pre-Trained Metamodels
type: journal_article
user_id: '7850'
volume: 3
year: '2022'
...
---
_id: '30193'
abstract:
- lang: eng
text: The successful planning of future product generations requires reliable insights
into the actual products’ problems and potentials for improvement. A valuable
source for these insights is the product use phase. In practice, product planners
are often forced to work with assumptions and speculations as insights from the
use phase are insufficiently identified and documented. A new opportunity to address
this problem arises from the ongoing digitalization that enables products to generate
and collect data during their utilization. Analyzing these data could enable their
manufacturers to generate and exploit insights concerning product performance
and user behavior, revealing problems and potentials for improvement. However,
research on analyzing use phase data in product planning of manufacturing companies
is scarce. Therefore, we conducted an exploratory interview study with decision-makers
of eight manufacturing companies. The result of this paper is a detailed description
of the potentials and challenges that the interviewees associated with analyzing
use phase data in product planning. The potentials explain the intended purpose
and generic application examples. The challenges concern the products, the data,
the customers, the implementation, and the employees. By gathering the potentials
and challenges through expert interviews, our study structures the topic from
the perspective of the potential users and shows the needs for future research.
article_number: e14
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Fichtler T, Koldewey C, Dumitrescu R. Potentials and challenges of
analyzing use phase data in product planning of manufacturing companies. Artificial
Intelligence for Engineering Design, Analysis and Manufacturing. 2022;36.
doi:10.1017/s0890060421000408
apa: Meyer, M., Fichtler, T., Koldewey, C., & Dumitrescu, R. (2022). Potentials
and challenges of analyzing use phase data in product planning of manufacturing
companies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
36, Article e14. https://doi.org/10.1017/s0890060421000408
bibtex: '@article{Meyer_Fichtler_Koldewey_Dumitrescu_2022, title={Potentials and
challenges of analyzing use phase data in product planning of manufacturing companies},
volume={36}, DOI={10.1017/s0890060421000408},
number={e14}, journal={Artificial Intelligence for Engineering Design, Analysis
and Manufacturing}, publisher={Cambridge University Press (CUP)}, author={Meyer,
Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}, year={2022}
}'
chicago: Meyer, Maurice, Timm Fichtler, Christian Koldewey, and Roman Dumitrescu.
“Potentials and Challenges of Analyzing Use Phase Data in Product Planning of
Manufacturing Companies.” Artificial Intelligence for Engineering Design, Analysis
and Manufacturing 36 (2022). https://doi.org/10.1017/s0890060421000408.
ieee: 'M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “Potentials and challenges
of analyzing use phase data in product planning of manufacturing companies,” Artificial
Intelligence for Engineering Design, Analysis and Manufacturing, vol. 36,
Art. no. e14, 2022, doi: 10.1017/s0890060421000408.'
mla: Meyer, Maurice, et al. “Potentials and Challenges of Analyzing Use Phase Data
in Product Planning of Manufacturing Companies.” Artificial Intelligence for
Engineering Design, Analysis and Manufacturing, vol. 36, e14, Cambridge University
Press (CUP), 2022, doi:10.1017/s0890060421000408.
short: M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, Artificial Intelligence
for Engineering Design, Analysis and Manufacturing 36 (2022).
date_created: 2022-03-02T19:23:18Z
date_updated: 2022-10-19T12:29:54Z
department:
- _id: '563'
doi: 10.1017/s0890060421000408
intvolume: ' 36'
keyword:
- Artificial Intelligence
- Industrial and Manufacturing Engineering
language:
- iso: eng
publication: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
publication_identifier:
issn:
- 0890-0604
- 1469-1760
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: Potentials and challenges of analyzing use phase data in product planning of
manufacturing companies
type: journal_article
user_id: '15782'
volume: 36
year: '2022'
...
---
_id: '34249'
abstract:
- lang: eng
text: The trend towards lightweight design, driven by increasingly stringent emission
targets, poses challenges to conventional joining processes due to the different
mechanical properties of the joining partners used to manufacture multi-material
systems. For this reason, new versatile joining processes are in demand for joining
dissimilar materials. In this regard, pin joining with cold extruded pin structures
is a relatively new, two-stage joining process for joining materials such as high-strength
steel and aluminium as well as steel and fibre-reinforced plastic to multi-material
systems, without the need for auxiliary elements. Due to the novelty of the process,
there are currently only a few studies on the robustness of this joining process
available. Thus, limited statements on the stability of the joining process considering
uncertain process conditions, such as varying material properties or friction
values, can be provided. Motivated by this, the presented work investigates the
influence of different uncertain process parameters on the pin extrusion as well
as on the joining process itself, carrying out a systematic robustness analysis.
Therefore, the methodical approach covers the complete process chain of pin joining,
including the load-bearing capacity of the joint by means of numerical simulation
and data-driven methods. Thereby, a deeper understanding of the pin joining process
is generated and the versatility of the novel joining process is increased. Additionally,
the provision of manufacturing recommendations for the forming of pin joints leads
to a significant decrease in the failure probability caused by ploughing or buckling
effects.
article_number: '122'
author:
- first_name: David
full_name: Römisch, David
last_name: Römisch
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
- first_name: Marion
full_name: Merklein, Marion
last_name: Merklein
citation:
ama: Römisch D, Zirngibl C, Schleich B, Wartzack S, Merklein M. Robustness Analysis
of Pin Joining. Journal of Manufacturing and Materials Processing. 2022;6(5).
doi:10.3390/jmmp6050122
apa: Römisch, D., Zirngibl, C., Schleich, B., Wartzack, S., & Merklein, M. (2022).
Robustness Analysis of Pin Joining. Journal of Manufacturing and Materials
Processing, 6(5), Article 122. https://doi.org/10.3390/jmmp6050122
bibtex: '@article{Römisch_Zirngibl_Schleich_Wartzack_Merklein_2022, title={Robustness
Analysis of Pin Joining}, volume={6}, DOI={10.3390/jmmp6050122},
number={5122}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI
AG}, author={Römisch, David and Zirngibl, Christoph and Schleich, Benjamin and
Wartzack, Sandro and Merklein, Marion}, year={2022} }'
chicago: Römisch, David, Christoph Zirngibl, Benjamin Schleich, Sandro Wartzack,
and Marion Merklein. “Robustness Analysis of Pin Joining.” Journal of Manufacturing
and Materials Processing 6, no. 5 (2022). https://doi.org/10.3390/jmmp6050122.
ieee: 'D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, and M. Merklein, “Robustness
Analysis of Pin Joining,” Journal of Manufacturing and Materials Processing,
vol. 6, no. 5, Art. no. 122, 2022, doi: 10.3390/jmmp6050122.'
mla: Römisch, David, et al. “Robustness Analysis of Pin Joining.” Journal of
Manufacturing and Materials Processing, vol. 6, no. 5, 122, MDPI AG, 2022,
doi:10.3390/jmmp6050122.
short: D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, M. Merklein, Journal of
Manufacturing and Materials Processing 6 (2022).
date_created: 2022-12-06T19:03:30Z
date_updated: 2023-01-02T11:01:05Z
department:
- _id: '630'
doi: 10.3390/jmmp6050122
intvolume: ' 6'
issue: '5'
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Mechanics of Materials
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2504-4494/6/5/122
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
- _id: '133'
name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '145'
name: 'TRR 285 – C01: TRR 285 - Subproject C01'
publication: Journal of Manufacturing and Materials Processing
publication_identifier:
issn:
- 2504-4494
publication_status: published
publisher: MDPI AG
status: public
title: Robustness Analysis of Pin Joining
type: journal_article
user_id: '14931'
volume: 6
year: '2022'
...
---
_id: '34255'
abstract:
- lang: eng
text: Deformation of continuous fibre reinforced plastics during thermally-assisted
forming or joining processes leads to a change of the initial material structure.
The load behaviour of composite parts strongly depends on the resultant material
structure. The prediction of this material structure is a challenging task and
requires a deep knowledge of the material behaviour above melting temperature
and the occurring complex forming phenomena. Through this knowledge, the optimisation
of manufacturing parameters for a more efficient and reproducible process can
be enabled and are in the focus of many investigations. In the present paper,
a simplified pultrusion test rig is developed and presented to investigate the
deformation behaviour of a thermoplastic semi-finished fiber product in a forming
element. Therefore, different process parameters, like forming element temperature,
pulling velocity as well as the forming element geometry, are varied. The deformation
behaviour in the forming zone of the thermoplastic preimpregnated continuous glass
fibre-reinforced material is investigated by computed tomography and the resultant
pulling forces are measured. The results clearly show the correlation between
the forming element temperature and the resulting forces due to a change in the
viscosity of the thermoplastic matrix and the resulting fiber matrix interaction.
In addition, the evaluation of the measurement data shows which forming forces
are required to change the shape of the thermoplastic unidirectional material
with a rectangular cross-section to a round one.
article_number: '146'
author:
- first_name: Andreas
full_name: Borowski, Andreas
last_name: Borowski
- first_name: Benjamin
full_name: Gröger, Benjamin
last_name: Gröger
- first_name: René
full_name: Füßel, René
last_name: Füßel
- first_name: Maik
full_name: Gude, Maik
last_name: Gude
citation:
ama: Borowski A, Gröger B, Füßel R, Gude M. Characterisation of Fibre Bundle Deformation
Behaviour—Test Rig, Results and Conclusions. Journal of Manufacturing and Materials
Processing. 2022;6(6). doi:10.3390/jmmp6060146
apa: Borowski, A., Gröger, B., Füßel, R., & Gude, M. (2022). Characterisation
of Fibre Bundle Deformation Behaviour—Test Rig, Results and Conclusions. Journal
of Manufacturing and Materials Processing, 6(6), Article 146. https://doi.org/10.3390/jmmp6060146
bibtex: '@article{Borowski_Gröger_Füßel_Gude_2022, title={Characterisation of Fibre
Bundle Deformation Behaviour—Test Rig, Results and Conclusions}, volume={6}, DOI={10.3390/jmmp6060146}, number={6146},
journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI AG},
author={Borowski, Andreas and Gröger, Benjamin and Füßel, René and Gude, Maik},
year={2022} }'
chicago: Borowski, Andreas, Benjamin Gröger, René Füßel, and Maik Gude. “Characterisation
of Fibre Bundle Deformation Behaviour—Test Rig, Results and Conclusions.” Journal
of Manufacturing and Materials Processing 6, no. 6 (2022). https://doi.org/10.3390/jmmp6060146.
ieee: 'A. Borowski, B. Gröger, R. Füßel, and M. Gude, “Characterisation of Fibre
Bundle Deformation Behaviour—Test Rig, Results and Conclusions,” Journal of
Manufacturing and Materials Processing, vol. 6, no. 6, Art. no. 146, 2022,
doi: 10.3390/jmmp6060146.'
mla: Borowski, Andreas, et al. “Characterisation of Fibre Bundle Deformation Behaviour—Test
Rig, Results and Conclusions.” Journal of Manufacturing and Materials Processing,
vol. 6, no. 6, 146, MDPI AG, 2022, doi:10.3390/jmmp6060146.
short: A. Borowski, B. Gröger, R. Füßel, M. Gude, Journal of Manufacturing and Materials
Processing 6 (2022).
date_created: 2022-12-06T20:38:11Z
date_updated: 2023-01-02T11:05:02Z
department:
- _id: '630'
doi: 10.3390/jmmp6060146
intvolume: ' 6'
issue: '6'
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Mechanics of Materials
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2504-4494/6/6/146
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '137'
name: 'TRR 285 – A03: TRR 285 - Subproject A03'
publication: Journal of Manufacturing and Materials Processing
publication_identifier:
issn:
- 2504-4494
publication_status: published
publisher: MDPI AG
status: public
title: Characterisation of Fibre Bundle Deformation Behaviour—Test Rig, Results and
Conclusions
type: journal_article
user_id: '14931'
volume: 6
year: '2022'
...
---
_id: '34248'
abstract:
- lang: eng
text: Pin extrusion is a common process to realise pin structures in different geometrical
dimensions for a subsequent joining operation. Nevertheless, the process of pin
extrusion offers process limits regarding sheet thinning as a consequence of the
punch penetration depth into the sheet. Thereby, cracks at the residual sheet
thickness can occur during strength tests, resulting in a failure of the complete
joint due to severe thinning. Therefore, measures have to be taken into account
to reduce the thinning. One possibility is the application of orbital formed tailored
blanks with a local material pre-distribution, which allows a higher sheet thickness
in the desired area. Within this contribution, the novel approach of a process
combination of orbital forming and pin extrusion is investigated. To reveal the
potential of a local material pre-distribution, conventional specimens are compared
with previously orbital formed components. Relevant parameters such as the residual
sheet thickness, the pin height as well as the average hardness values are compared.
The results show a significant positive influence of a local material pre-distribution
on the residual sheet thickness as well as the resulting pin height. Furthermore,
the strain hardening during orbital forming can be seen as an additional advantage.
To conclude the results, the process limits of conventional pin extrusion can
be expanded significantly by the application of specimens with a local material
pre-distribution.
article_number: '127'
author:
- first_name: David
full_name: Römisch, David
last_name: Römisch
- first_name: Andreas
full_name: Hetzel, Andreas
last_name: Hetzel
- first_name: Simon
full_name: Wituschek, Simon
last_name: Wituschek
- first_name: Michael
full_name: Lechner, Michael
last_name: Lechner
- first_name: Marion
full_name: Merklein, Marion
last_name: Merklein
citation:
ama: Römisch D, Hetzel A, Wituschek S, Lechner M, Merklein M. Pin Extrusion for
Mechanical Joining from Orbital Formed Tailored Blanks with Local Material Pre-Distribution.
Journal of Manufacturing and Materials Processing. 2022;6(6). doi:10.3390/jmmp6060127
apa: Römisch, D., Hetzel, A., Wituschek, S., Lechner, M., & Merklein, M. (2022).
Pin Extrusion for Mechanical Joining from Orbital Formed Tailored Blanks with
Local Material Pre-Distribution. Journal of Manufacturing and Materials Processing,
6(6), Article 127. https://doi.org/10.3390/jmmp6060127
bibtex: '@article{Römisch_Hetzel_Wituschek_Lechner_Merklein_2022, title={Pin Extrusion
for Mechanical Joining from Orbital Formed Tailored Blanks with Local Material
Pre-Distribution}, volume={6}, DOI={10.3390/jmmp6060127},
number={6127}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI
AG}, author={Römisch, David and Hetzel, Andreas and Wituschek, Simon and Lechner,
Michael and Merklein, Marion}, year={2022} }'
chicago: Römisch, David, Andreas Hetzel, Simon Wituschek, Michael Lechner, and Marion
Merklein. “Pin Extrusion for Mechanical Joining from Orbital Formed Tailored Blanks
with Local Material Pre-Distribution.” Journal of Manufacturing and Materials
Processing 6, no. 6 (2022). https://doi.org/10.3390/jmmp6060127.
ieee: 'D. Römisch, A. Hetzel, S. Wituschek, M. Lechner, and M. Merklein, “Pin Extrusion
for Mechanical Joining from Orbital Formed Tailored Blanks with Local Material
Pre-Distribution,” Journal of Manufacturing and Materials Processing, vol.
6, no. 6, Art. no. 127, 2022, doi: 10.3390/jmmp6060127.'
mla: Römisch, David, et al. “Pin Extrusion for Mechanical Joining from Orbital Formed
Tailored Blanks with Local Material Pre-Distribution.” Journal of Manufacturing
and Materials Processing, vol. 6, no. 6, 127, MDPI AG, 2022, doi:10.3390/jmmp6060127.
short: D. Römisch, A. Hetzel, S. Wituschek, M. Lechner, M. Merklein, Journal of
Manufacturing and Materials Processing 6 (2022).
date_created: 2022-12-06T18:56:24Z
date_updated: 2023-01-02T11:01:34Z
department:
- _id: '630'
doi: 10.3390/jmmp6060127
intvolume: ' 6'
issue: '6'
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Mechanics of Materials
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '133'
name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '145'
name: 'TRR 285 – C01: TRR 285 - Subproject C01'
- _id: '146'
name: 'TRR 285 – C02: TRR 285 - Subproject C02'
publication: Journal of Manufacturing and Materials Processing
publication_identifier:
issn:
- 2504-4494
publication_status: published
publisher: MDPI AG
status: public
title: Pin Extrusion for Mechanical Joining from Orbital Formed Tailored Blanks with
Local Material Pre-Distribution
type: journal_article
user_id: '14931'
volume: 6
year: '2022'
...
---
_id: '34214'
abstract:
- lang: eng
text: This article presents the application and evaluation of a cantilever with
integrated sensing and actuation as part of an atomic force microscope (AFM) with
an adjustable probe direction, which is integrated into a nano measuring machine
(NMM-1). The AFM, which is operated in closed-loop intermittent contact mode,
is based on two rotational axes that enable the adjustment of the probe direction
to cover a complete hemisphere. The axes greatly enlarge the metrology frame of
the measuring system by materials with a comparatively high coefficient of thermal
expansion, which ultimately limits the achievable measurement uncertainty of the
measuring system. Thus, to reduce the thermal sensitivity of the system, the redesign
of the rotational kinematics is mandatory. However, in this article, some preliminary
investigations on the application of a self-sensing cantilever with an integrated
micro heater for its stimulation will be presented. In previous investigations,
a piezoelectric actuator has been applied to stimulate the cantilever. However,
the removal of the piezoelectric actuator, which is enabled by the application
of a cantilever with an integrated micro heater, promises an essential simplification
of the sensor holder. Thus, in the future it might be possible to use materials
with a low coefficient of thermal expansion, which are often difficult to machine
and therefore only allow for rather simple geometries. Furthermore, because of
the creepage of piezoelectric actuators, their removal from the metrology frame
might lead to improved metrological characteristics. As will be shown, there are
no significant differences between the two modes of actuation. Therefore, the
redesigned rotational system will be based on the cantilever with integrated sensing
and actuation.
author:
- first_name: Janik
full_name: Schaude, Janik
last_name: Schaude
- first_name: Tino
full_name: Hausotte, Tino
last_name: Hausotte
citation:
ama: Schaude J, Hausotte T. Atomic Force Microscope with an Adjustable Probe Direction
and Integrated Sensing and Actuation. Nanomanufacturing and Metrology.
2022;5(2):139-148. doi:10.1007/s41871-022-00143-9
apa: Schaude, J., & Hausotte, T. (2022). Atomic Force Microscope with an Adjustable
Probe Direction and Integrated Sensing and Actuation. Nanomanufacturing and
Metrology, 5(2), 139–148. https://doi.org/10.1007/s41871-022-00143-9
bibtex: '@article{Schaude_Hausotte_2022, title={Atomic Force Microscope with an
Adjustable Probe Direction and Integrated Sensing and Actuation}, volume={5},
DOI={10.1007/s41871-022-00143-9},
number={2}, journal={Nanomanufacturing and Metrology}, publisher={Springer Science
and Business Media LLC}, author={Schaude, Janik and Hausotte, Tino}, year={2022},
pages={139–148} }'
chicago: 'Schaude, Janik, and Tino Hausotte. “Atomic Force Microscope with an Adjustable
Probe Direction and Integrated Sensing and Actuation.” Nanomanufacturing and
Metrology 5, no. 2 (2022): 139–48. https://doi.org/10.1007/s41871-022-00143-9.'
ieee: 'J. Schaude and T. Hausotte, “Atomic Force Microscope with an Adjustable Probe
Direction and Integrated Sensing and Actuation,” Nanomanufacturing and Metrology,
vol. 5, no. 2, pp. 139–148, 2022, doi: 10.1007/s41871-022-00143-9.'
mla: Schaude, Janik, and Tino Hausotte. “Atomic Force Microscope with an Adjustable
Probe Direction and Integrated Sensing and Actuation.” Nanomanufacturing and
Metrology, vol. 5, no. 2, Springer Science and Business Media LLC, 2022, pp.
139–48, doi:10.1007/s41871-022-00143-9.
short: J. Schaude, T. Hausotte, Nanomanufacturing and Metrology 5 (2022) 139–148.
date_created: 2022-12-05T21:15:09Z
date_updated: 2023-01-02T11:10:08Z
department:
- _id: '630'
doi: 10.1007/s41871-022-00143-9
intvolume: ' 5'
issue: '2'
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Materials Science (miscellaneous)
language:
- iso: eng
page: 139-148
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '133'
name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '149'
name: 'TRR 285 – C05: TRR 285 - Subproject C05'
publication: Nanomanufacturing and Metrology
publication_identifier:
issn:
- 2520-811X
- 2520-8128
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Atomic Force Microscope with an Adjustable Probe Direction and Integrated Sensing
and Actuation
type: journal_article
user_id: '14931'
volume: 5
year: '2022'
...
---
_id: '34414'
abstract:
- lang: eng
text: Given a steadily increasing demand on multi-material lightweight designs,
fast and cost-efficient production technologies, such as the mechanical joining
process clinching, are becoming more and more relevant for series production.
Since the application of such joining techniques often base on the ability to
reach similar or even better joint loading capacities compared to established
joining processes (e.g., spot welding), few contributions investigated the systematic
improvement of clinch joint characteristics. In this regard, the use of data-driven
methods in combination with optimization algorithms showed already high potentials
for the analysis of individual joints and the definition of optimal tool configurations.
However, the often missing consideration of uncertainties, such as varying material
properties, and the related calculation of their impact on clinch joint properties
can lead to poor estimation results and thus to a decreased reliability of the
entire joint connection. This can cause major challenges, especially for the design
and dimensioning of safety-relevant components, such as in car bodies. Motivated
by this, the presented contribution introduces a novel method for the robust estimation
of clinch joint characteristics including uncertainties of varying and versatile
process chains in mechanical joining. Therefore, the utilization of Gaussian process
regression models is demonstrated and evaluated regarding the ability to achieve
sufficient prediction qualities.
author:
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
citation:
ama: Zirngibl C, Schleich B, Wartzack S. Robust estimation of clinch joint characteristics
based on data-driven methods. The International Journal of Advanced Manufacturing
Technology. Published online 2022. doi:10.1007/s00170-022-10441-7
apa: Zirngibl, C., Schleich, B., & Wartzack, S. (2022). Robust estimation of
clinch joint characteristics based on data-driven methods. The International
Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-022-10441-7
bibtex: '@article{Zirngibl_Schleich_Wartzack_2022, title={Robust estimation of clinch
joint characteristics based on data-driven methods}, DOI={10.1007/s00170-022-10441-7},
journal={The International Journal of Advanced Manufacturing Technology}, publisher={Springer
Science and Business Media LLC}, author={Zirngibl, Christoph and Schleich, Benjamin
and Wartzack, Sandro}, year={2022} }'
chicago: Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. “Robust Estimation
of Clinch Joint Characteristics Based on Data-Driven Methods.” The International
Journal of Advanced Manufacturing Technology, 2022. https://doi.org/10.1007/s00170-022-10441-7.
ieee: 'C. Zirngibl, B. Schleich, and S. Wartzack, “Robust estimation of clinch joint
characteristics based on data-driven methods,” The International Journal of
Advanced Manufacturing Technology, 2022, doi: 10.1007/s00170-022-10441-7.'
mla: Zirngibl, Christoph, et al. “Robust Estimation of Clinch Joint Characteristics
Based on Data-Driven Methods.” The International Journal of Advanced Manufacturing
Technology, Springer Science and Business Media LLC, 2022, doi:10.1007/s00170-022-10441-7.
short: C. Zirngibl, B. Schleich, S. Wartzack, The International Journal of Advanced
Manufacturing Technology (2022).
date_created: 2022-12-14T12:24:29Z
date_updated: 2023-01-02T11:14:26Z
department:
- _id: '630'
doi: 10.1007/s00170-022-10441-7
keyword:
- Industrial and Manufacturing Engineering
- Computer Science Applications
- Mechanical Engineering
- Software
- Control and Systems Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s00170-022-10441-7
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
issn:
- 0268-3768
- 1433-3015
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Robust estimation of clinch joint characteristics based on data-driven methods
type: journal_article
user_id: '14931'
year: '2022'
...
---
_id: '47562'
article_number: '117632'
author:
- first_name: Felix
full_name: Herrmann, Felix
last_name: Herrmann
- first_name: Marcus
full_name: Grünewald, Marcus
last_name: Grünewald
- first_name: Tobias
full_name: Meijer, Tobias
last_name: Meijer
- first_name: Ulrich
full_name: Gardemann, Ulrich
last_name: Gardemann
- first_name: Lukas
full_name: Feierabend, Lukas
last_name: Feierabend
- first_name: Julia
full_name: Riese, Julia
id: '101499'
last_name: Riese
orcid: 0000-0002-3053-0534
citation:
ama: Herrmann F, Grünewald M, Meijer T, Gardemann U, Feierabend L, Riese J. Operating
window and flexibility of a lab-scale methanation plant. Chemical Engineering
Science. 2022;254. doi:10.1016/j.ces.2022.117632
apa: Herrmann, F., Grünewald, M., Meijer, T., Gardemann, U., Feierabend, L., &
Riese, J. (2022). Operating window and flexibility of a lab-scale methanation
plant. Chemical Engineering Science, 254, Article 117632. https://doi.org/10.1016/j.ces.2022.117632
bibtex: '@article{Herrmann_Grünewald_Meijer_Gardemann_Feierabend_Riese_2022, title={Operating
window and flexibility of a lab-scale methanation plant}, volume={254}, DOI={10.1016/j.ces.2022.117632},
number={117632}, journal={Chemical Engineering Science}, publisher={Elsevier BV},
author={Herrmann, Felix and Grünewald, Marcus and Meijer, Tobias and Gardemann,
Ulrich and Feierabend, Lukas and Riese, Julia}, year={2022} }'
chicago: Herrmann, Felix, Marcus Grünewald, Tobias Meijer, Ulrich Gardemann, Lukas
Feierabend, and Julia Riese. “Operating Window and Flexibility of a Lab-Scale
Methanation Plant.” Chemical Engineering Science 254 (2022). https://doi.org/10.1016/j.ces.2022.117632.
ieee: 'F. Herrmann, M. Grünewald, T. Meijer, U. Gardemann, L. Feierabend, and J.
Riese, “Operating window and flexibility of a lab-scale methanation plant,” Chemical
Engineering Science, vol. 254, Art. no. 117632, 2022, doi: 10.1016/j.ces.2022.117632.'
mla: Herrmann, Felix, et al. “Operating Window and Flexibility of a Lab-Scale Methanation
Plant.” Chemical Engineering Science, vol. 254, 117632, Elsevier BV, 2022,
doi:10.1016/j.ces.2022.117632.
short: F. Herrmann, M. Grünewald, T. Meijer, U. Gardemann, L. Feierabend, J. Riese,
Chemical Engineering Science 254 (2022).
date_created: 2023-10-04T14:15:40Z
date_updated: 2024-03-08T11:39:03Z
doi: 10.1016/j.ces.2022.117632
extern: '1'
intvolume: ' 254'
keyword:
- Applied Mathematics
- Industrial and Manufacturing Engineering
- General Chemical Engineering
- General Chemistry
language:
- iso: eng
publication: Chemical Engineering Science
publication_identifier:
issn:
- 0009-2509
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Operating window and flexibility of a lab-scale methanation plant
type: journal_article
user_id: '101499'
volume: 254
year: '2022'
...
---
_id: '47561'
abstract:
- lang: eng
text: AbstractAdditive manufacturing is a promising
tool for tailored solutions in chemical engineering. This applies in particular
to the design of lab‐scale packed bed columns. We present experimental results
to characterize a lab‐scale 3D printed structured metal packing and compare it
to a conventional counterpart. The results indicate that necessary adjustments
for the manufacturing process of the metal material have an influence on important
operating parameters, resulting in higher specific pressure drop, slightly higher
liquid holdup and lower mass transfer efficiency.
author:
- first_name: Julia
full_name: Riese, Julia
id: '101499'
last_name: Riese
orcid: 0000-0002-3053-0534
- first_name: Arnulf
full_name: Reitze, Arnulf
last_name: Reitze
- first_name: Marcus
full_name: Grünewald, Marcus
last_name: Grünewald
citation:
ama: Riese J, Reitze A, Grünewald M. Experimental Characterization of 3D Printed
Structured Metal Packing with an Enclosed Column Wall. Chemie Ingenieur Technik.
2022;94(7):993-1001. doi:10.1002/cite.202200002
apa: Riese, J., Reitze, A., & Grünewald, M. (2022). Experimental Characterization
of 3D Printed Structured Metal Packing with an Enclosed Column Wall. Chemie
Ingenieur Technik, 94(7), 993–1001. https://doi.org/10.1002/cite.202200002
bibtex: '@article{Riese_Reitze_Grünewald_2022, title={Experimental Characterization
of 3D Printed Structured Metal Packing with an Enclosed Column Wall}, volume={94},
DOI={10.1002/cite.202200002},
number={7}, journal={Chemie Ingenieur Technik}, publisher={Wiley}, author={Riese,
Julia and Reitze, Arnulf and Grünewald, Marcus}, year={2022}, pages={993–1001}
}'
chicago: 'Riese, Julia, Arnulf Reitze, and Marcus Grünewald. “Experimental Characterization
of 3D Printed Structured Metal Packing with an Enclosed Column Wall.” Chemie
Ingenieur Technik 94, no. 7 (2022): 993–1001. https://doi.org/10.1002/cite.202200002.'
ieee: 'J. Riese, A. Reitze, and M. Grünewald, “Experimental Characterization of
3D Printed Structured Metal Packing with an Enclosed Column Wall,” Chemie Ingenieur
Technik, vol. 94, no. 7, pp. 993–1001, 2022, doi: 10.1002/cite.202200002.'
mla: Riese, Julia, et al. “Experimental Characterization of 3D Printed Structured
Metal Packing with an Enclosed Column Wall.” Chemie Ingenieur Technik,
vol. 94, no. 7, Wiley, 2022, pp. 993–1001, doi:10.1002/cite.202200002.
short: J. Riese, A. Reitze, M. Grünewald, Chemie Ingenieur Technik 94 (2022) 993–1001.
date_created: 2023-10-04T14:15:30Z
date_updated: 2024-03-08T11:31:40Z
doi: 10.1002/cite.202200002
extern: '1'
intvolume: ' 94'
issue: '7'
keyword:
- Industrial and Manufacturing Engineering
- General Chemical Engineering
- General Chemistry
language:
- iso: eng
page: 993-1001
publication: Chemie Ingenieur Technik
publication_identifier:
issn:
- 0009-286X
- 1522-2640
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Experimental Characterization of 3D Printed Structured Metal Packing with an
Enclosed Column Wall
type: journal_article
user_id: '101499'
volume: 94
year: '2022'
...
---
_id: '47556'
author:
- first_name: Felix
full_name: Herrmann, Felix
last_name: Herrmann
- first_name: Marcus
full_name: Grünewald, Marcus
last_name: Grünewald
- first_name: Tobias
full_name: Meijer, Tobias
last_name: Meijer
- first_name: Ulrich
full_name: Gardemann, Ulrich
last_name: Gardemann
- first_name: Julia
full_name: Riese, Julia
id: '101499'
last_name: Riese
orcid: 0000-0002-3053-0534
citation:
ama: Herrmann F, Grünewald M, Meijer T, Gardemann U, Riese J. Performance of a Laboratory-Scale
Methanation Plant with Catalyst Dilution under Dynamic Operating Conditions. Industrial
& Engineering Chemistry Research. 2022;61(27):9644-9657. doi:10.1021/acs.iecr.2c00871
apa: Herrmann, F., Grünewald, M., Meijer, T., Gardemann, U., & Riese, J. (2022).
Performance of a Laboratory-Scale Methanation Plant with Catalyst Dilution under
Dynamic Operating Conditions. Industrial & Engineering Chemistry Research,
61(27), 9644–9657. https://doi.org/10.1021/acs.iecr.2c00871
bibtex: '@article{Herrmann_Grünewald_Meijer_Gardemann_Riese_2022, title={Performance
of a Laboratory-Scale Methanation Plant with Catalyst Dilution under Dynamic Operating
Conditions}, volume={61}, DOI={10.1021/acs.iecr.2c00871},
number={27}, journal={Industrial & Engineering Chemistry Research}, publisher={American
Chemical Society (ACS)}, author={Herrmann, Felix and Grünewald, Marcus and Meijer,
Tobias and Gardemann, Ulrich and Riese, Julia}, year={2022}, pages={9644–9657}
}'
chicago: 'Herrmann, Felix, Marcus Grünewald, Tobias Meijer, Ulrich Gardemann, and
Julia Riese. “Performance of a Laboratory-Scale Methanation Plant with Catalyst
Dilution under Dynamic Operating Conditions.” Industrial & Engineering
Chemistry Research 61, no. 27 (2022): 9644–57. https://doi.org/10.1021/acs.iecr.2c00871.'
ieee: 'F. Herrmann, M. Grünewald, T. Meijer, U. Gardemann, and J. Riese, “Performance
of a Laboratory-Scale Methanation Plant with Catalyst Dilution under Dynamic Operating
Conditions,” Industrial & Engineering Chemistry Research, vol.
61, no. 27, pp. 9644–9657, 2022, doi: 10.1021/acs.iecr.2c00871.'
mla: Herrmann, Felix, et al. “Performance of a Laboratory-Scale Methanation Plant
with Catalyst Dilution under Dynamic Operating Conditions.” Industrial &
Engineering Chemistry Research, vol. 61, no. 27, American Chemical Society
(ACS), 2022, pp. 9644–57, doi:10.1021/acs.iecr.2c00871.
short: F. Herrmann, M. Grünewald, T. Meijer, U. Gardemann, J. Riese, Industrial
& Engineering Chemistry Research 61 (2022) 9644–9657.
date_created: 2023-10-04T14:13:23Z
date_updated: 2024-03-08T11:31:49Z
doi: 10.1021/acs.iecr.2c00871
extern: '1'
intvolume: ' 61'
issue: '27'
keyword:
- Industrial and Manufacturing Engineering
- General Chemical Engineering
- General Chemistry
language:
- iso: eng
page: 9644-9657
publication: Industrial & Engineering Chemistry Research
publication_identifier:
issn:
- 0888-5885
- 1520-5045
publication_status: published
publisher: American Chemical Society (ACS)
quality_controlled: '1'
status: public
title: Performance of a Laboratory-Scale Methanation Plant with Catalyst Dilution
under Dynamic Operating Conditions
type: journal_article
user_id: '101499'
volume: 61
year: '2022'
...
---
_id: '40644'
article_number: '119596'
article_type: original
author:
- first_name: Abbas Jarullah Sangoor
full_name: Al-Lami, Abbas Jarullah Sangoor
id: '81772'
last_name: Al-Lami
- first_name: Eugeny Y.
full_name: Kenig, Eugeny Y.
id: '665'
last_name: Kenig
- first_name: Venkatesh
full_name: Inguva, Venkatesh
id: '75069'
last_name: Inguva
citation:
ama: Al-Lami AJS, Kenig EY, Inguva V. Numerical analysis of conjugate heat transfer
within internally channeled tubes. Applied Thermal Engineering. 2022;223.
doi:10.1016/j.applthermaleng.2022.119596
apa: Al-Lami, A. J. S., Kenig, E. Y., & Inguva, V. (2022). Numerical analysis
of conjugate heat transfer within internally channeled tubes. Applied Thermal
Engineering, 223, Article 119596. https://doi.org/10.1016/j.applthermaleng.2022.119596
bibtex: '@article{Al-Lami_Kenig_Inguva_2022, title={Numerical analysis of conjugate
heat transfer within internally channeled tubes}, volume={223}, DOI={10.1016/j.applthermaleng.2022.119596},
number={119596}, journal={Applied Thermal Engineering}, publisher={Elsevier BV},
author={Al-Lami, Abbas Jarullah Sangoor and Kenig, Eugeny Y. and Inguva, Venkatesh},
year={2022} }'
chicago: Al-Lami, Abbas Jarullah Sangoor, Eugeny Y. Kenig, and Venkatesh Inguva.
“Numerical Analysis of Conjugate Heat Transfer within Internally Channeled Tubes.”
Applied Thermal Engineering 223 (2022). https://doi.org/10.1016/j.applthermaleng.2022.119596.
ieee: 'A. J. S. Al-Lami, E. Y. Kenig, and V. Inguva, “Numerical analysis of conjugate
heat transfer within internally channeled tubes,” Applied Thermal Engineering,
vol. 223, Art. no. 119596, 2022, doi: 10.1016/j.applthermaleng.2022.119596.'
mla: Al-Lami, Abbas Jarullah Sangoor, et al. “Numerical Analysis of Conjugate Heat
Transfer within Internally Channeled Tubes.” Applied Thermal Engineering,
vol. 223, 119596, Elsevier BV, 2022, doi:10.1016/j.applthermaleng.2022.119596.
short: A.J.S. Al-Lami, E.Y. Kenig, V. Inguva, Applied Thermal Engineering 223 (2022).
date_created: 2023-01-30T10:04:47Z
date_updated: 2024-03-09T08:34:35Z
doi: 10.1016/j.applthermaleng.2022.119596
has_accepted_license: '1'
intvolume: ' 223'
keyword:
- Industrial and Manufacturing Engineering
- Energy Engineering and Power Technology
language:
- iso: eng
publication: Applied Thermal Engineering
publication_identifier:
issn:
- 1359-4311
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Numerical analysis of conjugate heat transfer within internally channeled tubes
type: journal_article
user_id: '81772'
volume: 223
year: '2022'
...
---
_id: '29505'
abstract:
- lang: eng
text: In modern vehicle chassis, multi-material design is implemented to apply the
appropriate material for each functionality. In spaceframe technology, both sheet
metal and continuous cast are joined to castings at the nodal points of the chassis.
Since resistance spot welding is not an option when different materials are joined,
research is focusing on mechanical joining methods for multi-material designs.
To reduce weight and achieve the required strength, hardenable cast aluminium
alloys of the AlSi-system are widely used. Thus, 85–90% of aluminium castings
in the automotive industry are comprised of the AlSi-system. Due to the limited
weldability, mechanical joining is a suitable process. For this application, various
optimisation strategies are required to produce a crack-free joint, as the brittle
character of the AlSi alloy poses a challenge. Thus, adapted castings with appropriate
ductility are needed. Hence, in this study, the age-hardenable cast aluminium
alloy AlSi10Mg is investigated regarding the correlation of the different thicknesses,
the microstructural characteristics as well as the resulting mechanical properties.
A variation of the thicknesses leads to different solidification rates, which
in turn affect the microstructure formation and are decisive for the mechanical
properties of the casting as well as the joinability. For the investigation, plates
with thicknesses from 2.0 to 4.0 mm, each differing by 0.5 mm, are produced via
sand casting. Hence, the overall aim is to evaluate the joinability of AlSi10Mg
and derive conclusions concerning the microstructure and mechanical properties.
article_type: original
author:
- first_name: Moritz
full_name: Neuser, Moritz
id: '32340'
last_name: Neuser
- first_name: Olexandr
full_name: Grydin, Olexandr
id: '43822'
last_name: Grydin
- first_name: Y.
full_name: Frolov, Y.
last_name: Frolov
- first_name: Mirko
full_name: Schaper, Mirko
id: '43720'
last_name: Schaper
citation:
ama: Neuser M, Grydin O, Frolov Y, Schaper M. Influence of solidification rates
and heat treatment on the mechanical performance and joinability of the cast aluminium
alloy AlSi10Mg. Production Engineering. Published online 2022. doi:10.1007/s11740-022-01106-1
apa: Neuser, M., Grydin, O., Frolov, Y., & Schaper, M. (2022). Influence of
solidification rates and heat treatment on the mechanical performance and joinability
of the cast aluminium alloy AlSi10Mg. Production Engineering. https://doi.org/10.1007/s11740-022-01106-1
bibtex: '@article{Neuser_Grydin_Frolov_Schaper_2022, title={Influence of solidification
rates and heat treatment on the mechanical performance and joinability of the
cast aluminium alloy AlSi10Mg}, DOI={10.1007/s11740-022-01106-1},
journal={Production Engineering}, publisher={Springer Science and Business Media
LLC}, author={Neuser, Moritz and Grydin, Olexandr and Frolov, Y. and Schaper,
Mirko}, year={2022} }'
chicago: Neuser, Moritz, Olexandr Grydin, Y. Frolov, and Mirko Schaper. “Influence
of Solidification Rates and Heat Treatment on the Mechanical Performance and Joinability
of the Cast Aluminium Alloy AlSi10Mg.” Production Engineering, 2022. https://doi.org/10.1007/s11740-022-01106-1.
ieee: 'M. Neuser, O. Grydin, Y. Frolov, and M. Schaper, “Influence of solidification
rates and heat treatment on the mechanical performance and joinability of the
cast aluminium alloy AlSi10Mg,” Production Engineering, 2022, doi: 10.1007/s11740-022-01106-1.'
mla: Neuser, Moritz, et al. “Influence of Solidification Rates and Heat Treatment
on the Mechanical Performance and Joinability of the Cast Aluminium Alloy AlSi10Mg.”
Production Engineering, Springer Science and Business Media LLC, 2022,
doi:10.1007/s11740-022-01106-1.
short: M. Neuser, O. Grydin, Y. Frolov, M. Schaper, Production Engineering (2022).
date_created: 2022-01-24T08:27:48Z
date_updated: 2024-03-14T15:21:51Z
department:
- _id: '43'
- _id: '158'
- _id: '321'
- _id: '630'
doi: 10.1007/s11740-022-01106-1
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
language:
- iso: eng
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '136'
name: 'TRR 285 – A02: TRR 285 - Subproject A02'
publication: Production Engineering
publication_identifier:
issn:
- 0944-6524
- 1863-7353
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Influence of solidification rates and heat treatment on the mechanical performance
and joinability of the cast aluminium alloy AlSi10Mg
type: journal_article
user_id: '32340'
year: '2022'
...
---
_id: '53237'
article_number: '129777'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Hadi
full_name: Kian, Hadi
last_name: Kian
- first_name: Arash Khalili
full_name: Nasr, Arash Khalili
last_name: Nasr
- first_name: Kannan
full_name: Govindan, Kannan
last_name: Govindan
- first_name: Hassan
full_name: Mina, Hassan
last_name: Mina
citation:
ama: Tavana M, Kian H, Nasr AK, Govindan K, Mina H. A comprehensive framework for
sustainable closed-loop supply chain network design. Journal of Cleaner Production.
2022;332. doi:10.1016/j.jclepro.2021.129777
apa: Tavana, M., Kian, H., Nasr, A. K., Govindan, K., & Mina, H. (2022). A comprehensive
framework for sustainable closed-loop supply chain network design. Journal
of Cleaner Production, 332, Article 129777. https://doi.org/10.1016/j.jclepro.2021.129777
bibtex: '@article{Tavana_Kian_Nasr_Govindan_Mina_2022, title={A comprehensive framework
for sustainable closed-loop supply chain network design}, volume={332}, DOI={10.1016/j.jclepro.2021.129777},
number={129777}, journal={Journal of Cleaner Production}, publisher={Elsevier
BV}, author={Tavana, Madjid and Kian, Hadi and Nasr, Arash Khalili and Govindan,
Kannan and Mina, Hassan}, year={2022} }'
chicago: Tavana, Madjid, Hadi Kian, Arash Khalili Nasr, Kannan Govindan, and Hassan
Mina. “A Comprehensive Framework for Sustainable Closed-Loop Supply Chain Network
Design.” Journal of Cleaner Production 332 (2022). https://doi.org/10.1016/j.jclepro.2021.129777.
ieee: 'M. Tavana, H. Kian, A. K. Nasr, K. Govindan, and H. Mina, “A comprehensive
framework for sustainable closed-loop supply chain network design,” Journal
of Cleaner Production, vol. 332, Art. no. 129777, 2022, doi: 10.1016/j.jclepro.2021.129777.'
mla: Tavana, Madjid, et al. “A Comprehensive Framework for Sustainable Closed-Loop
Supply Chain Network Design.” Journal of Cleaner Production, vol. 332,
129777, Elsevier BV, 2022, doi:10.1016/j.jclepro.2021.129777.
short: M. Tavana, H. Kian, A.K. Nasr, K. Govindan, H. Mina, Journal of Cleaner Production
332 (2022).
date_created: 2024-04-04T15:49:44Z
date_updated: 2024-04-15T13:16:19Z
department:
- _id: '277'
doi: 10.1016/j.jclepro.2021.129777
intvolume: ' 332'
keyword:
- Industrial and Manufacturing Engineering
- Strategy and Management
- General Environmental Science
- Renewable Energy
- Sustainability and the Environment
language:
- iso: eng
publication: Journal of Cleaner Production
publication_identifier:
issn:
- 0959-6526
publication_status: published
publisher: Elsevier BV
status: public
title: A comprehensive framework for sustainable closed-loop supply chain network
design
type: journal_article
user_id: '51811'
volume: 332
year: '2022'
...
---
_id: '53242'
article_number: '130409'
author:
- first_name: Ali
full_name: Ebadi Torkayesh, Ali
last_name: Ebadi Torkayesh
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
citation:
ama: Ebadi Torkayesh A, Tavana M, Santos-Arteaga FJ. A multi-distance interval-valued
neutrosophic approach for social failure detection in sustainable municipal waste
management. Journal of Cleaner Production. 2022;336. doi:10.1016/j.jclepro.2022.130409
apa: Ebadi Torkayesh, A., Tavana, M., & Santos-Arteaga, F. J. (2022). A multi-distance
interval-valued neutrosophic approach for social failure detection in sustainable
municipal waste management. Journal of Cleaner Production, 336,
Article 130409. https://doi.org/10.1016/j.jclepro.2022.130409
bibtex: '@article{Ebadi Torkayesh_Tavana_Santos-Arteaga_2022, title={A multi-distance
interval-valued neutrosophic approach for social failure detection in sustainable
municipal waste management}, volume={336}, DOI={10.1016/j.jclepro.2022.130409},
number={130409}, journal={Journal of Cleaner Production}, publisher={Elsevier
BV}, author={Ebadi Torkayesh, Ali and Tavana, Madjid and Santos-Arteaga, Francisco
J.}, year={2022} }'
chicago: Ebadi Torkayesh, Ali, Madjid Tavana, and Francisco J. Santos-Arteaga. “A
Multi-Distance Interval-Valued Neutrosophic Approach for Social Failure Detection
in Sustainable Municipal Waste Management.” Journal of Cleaner Production
336 (2022). https://doi.org/10.1016/j.jclepro.2022.130409.
ieee: 'A. Ebadi Torkayesh, M. Tavana, and F. J. Santos-Arteaga, “A multi-distance
interval-valued neutrosophic approach for social failure detection in sustainable
municipal waste management,” Journal of Cleaner Production, vol. 336, Art.
no. 130409, 2022, doi: 10.1016/j.jclepro.2022.130409.'
mla: Ebadi Torkayesh, Ali, et al. “A Multi-Distance Interval-Valued Neutrosophic
Approach for Social Failure Detection in Sustainable Municipal Waste Management.”
Journal of Cleaner Production, vol. 336, 130409, Elsevier BV, 2022, doi:10.1016/j.jclepro.2022.130409.
short: A. Ebadi Torkayesh, M. Tavana, F.J. Santos-Arteaga, Journal of Cleaner Production
336 (2022).
date_created: 2024-04-04T15:52:48Z
date_updated: 2024-04-15T13:17:34Z
department:
- _id: '277'
doi: 10.1016/j.jclepro.2022.130409
intvolume: ' 336'
keyword:
- Industrial and Manufacturing Engineering
- Strategy and Management
- General Environmental Science
- Renewable Energy
- Sustainability and the Environment
- Building and Construction
language:
- iso: eng
publication: Journal of Cleaner Production
publication_identifier:
issn:
- 0959-6526
publication_status: published
publisher: Elsevier BV
status: public
title: A multi-distance interval-valued neutrosophic approach for social failure detection
in sustainable municipal waste management
type: journal_article
user_id: '51811'
volume: 336
year: '2022'
...
---
_id: '43156'
abstract:
- lang: eng
text: The use of mechanical joining technologies offers the possibility of joining
mixed material structures, which are used in particular in lightweight construction.
An integrated securing of the joinability in versatile process chains is currently
hardly possible as the number of combinable tool variants as well as variable
force- and path-based process parameters is infinite. A versatile process chain,
i.e. a sequence of all the processes and process steps required for product manufacturing,
enables targeted changes to the semi-finished product, the joint, the component
or the joining process that exceed the originally planned extend while still ensuring
joinability. In detail, it leads to a unique joint with its own mechanical property
profile, which, against the background of the resulting infinite number of combinations,
makes it impossible to secure the joinability on the conventional experimentally
based approach without extensive safety factors. The Transregional Colaborative
Research Center 285 (TCRC285), which also initiated this special issue, is intended
to enable mechanical joining technology to be versatile in the sense of high application
flexibility. This is to be achieved with a numerical representation of the complete
process chain from the incoming semi finished product via the joining part production
and the joining process to the property profile of the joint in the operating
phase. Thus a predictability of the joinability can be achieved and improvements
in the individual life cycles of a joint can be realized by grasping the cause-and-effect
relationships. On the basis of this knowledge, new possibilities for intervention
in the joining process are to be created for the adaptation of the joining processes.
With the aid of the methods developed for this purpose, tools will later be available
to the end user to substitute the large number of mechanical joining processes
or joining task-specific configurations with a smaller number of adaptable processes.
This expands the flexibility in material choices, enabling challenges in environmental
issues and sustainability to be overcome.
author:
- first_name: Gerson
full_name: Meschut, Gerson
last_name: Meschut
- first_name: Marion
full_name: Merklein, Marion
last_name: Merklein
- first_name: Alexander
full_name: Brosius, Alexander
last_name: Brosius
- first_name: Mathias
full_name: Bobbert, Mathias
last_name: Bobbert
citation:
ama: Meschut G, Merklein M, Brosius A, Bobbert M. Mechanical joining in versatile
process chains. Production Engineering. 2022;16(2-3):187-191. doi:10.1007/s11740-022-01125-y
apa: Meschut, G., Merklein, M., Brosius, A., & Bobbert, M. (2022). Mechanical
joining in versatile process chains. Production Engineering, 16(2–3),
187–191. https://doi.org/10.1007/s11740-022-01125-y
bibtex: '@article{Meschut_Merklein_Brosius_Bobbert_2022, title={Mechanical joining
in versatile process chains}, volume={16}, DOI={10.1007/s11740-022-01125-y},
number={2–3}, journal={Production Engineering}, publisher={Springer Science and
Business Media LLC}, author={Meschut, Gerson and Merklein, Marion and Brosius,
Alexander and Bobbert, Mathias}, year={2022}, pages={187–191} }'
chicago: 'Meschut, Gerson, Marion Merklein, Alexander Brosius, and Mathias Bobbert.
“Mechanical Joining in Versatile Process Chains.” Production Engineering
16, no. 2–3 (2022): 187–91. https://doi.org/10.1007/s11740-022-01125-y.'
ieee: 'G. Meschut, M. Merklein, A. Brosius, and M. Bobbert, “Mechanical joining
in versatile process chains,” Production Engineering, vol. 16, no. 2–3,
pp. 187–191, 2022, doi: 10.1007/s11740-022-01125-y.'
mla: Meschut, Gerson, et al. “Mechanical Joining in Versatile Process Chains.” Production
Engineering, vol. 16, no. 2–3, Springer Science and Business Media LLC, 2022,
pp. 187–91, doi:10.1007/s11740-022-01125-y.
short: G. Meschut, M. Merklein, A. Brosius, M. Bobbert, Production Engineering 16
(2022) 187–191.
date_created: 2023-03-29T08:31:27Z
date_updated: 2023-03-29T08:32:24Z
department:
- _id: '157'
doi: 10.1007/s11740-022-01125-y
intvolume: ' 16'
issue: 2-3
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
language:
- iso: eng
page: 187-191
publication: Production Engineering
publication_identifier:
issn:
- 0944-6524
- 1863-7353
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Mechanical joining in versatile process chains
type: journal_article
user_id: '53912'
volume: 16
year: '2022'
...
---
_id: '34241'
abstract:
- lang: eng
text: Due to the increasing use of multi-material constructions and the resulting
material incompatibilities, mechanical joining technologies are gaining in importance.
The reasons for this are the variety of joining possibilities as well as high
load-bearing capacities. However, the currently rigid tooling systems cannot react
to changing boundary conditions, such as changed sheet thicknesses or strength.
For this reason, a large number of specialised joining processes have been developed
to expand the range of applications. Using a versatile self-piercing riveting
process, multi-material structures are joined in this paper. In this process,
a modified tool actuator technology is combined with multi-range capable auxiliary
joining parts. The multi-range capability of the rivets is achieved by forming
the rivet head onto the respective thickness of the joining part combination without
creating a tooling set-up effort. The joints are investigated both experimentally
on the basis of joint formation and load-bearing capacity tests as well as by
means of numerical simulation. It turned out that all the joints examined could
be manufactured according to the defined standards. The load-bearing capacities
of the joints are comparable to those of conventionally joined joints. In some
cases the joint fails prematurely, which is why lower energy absorptions are obtained.
However, the maximum forces achieved are higher than those of conventional joints.
Especially in the case of high-strength materials arranged on the die side, the
interlock formation is low. In addition, the use of die-sided sheets requires
a large deformation of the rivet head protrusion, which leads to an increase in
stress and, as a result, to damage if the rivet head. However, a negative influence
on the joint load-bearing capacity could be excluded.
author:
- first_name: Fabian
full_name: Kappe, Fabian
id: '66459'
last_name: Kappe
- first_name: Simon
full_name: Wituschek, Simon
last_name: Wituschek
- first_name: Mathias
full_name: Bobbert, Mathias
id: '7850'
last_name: Bobbert
- first_name: Michael
full_name: Lechner, Michael
last_name: Lechner
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
citation:
ama: Kappe F, Wituschek S, Bobbert M, Lechner M, Meschut G. Joining of multi-material
structures using a versatile self-piercing riveting process. Production Engineering.
Published online 2022. doi:10.1007/s11740-022-01151-w
apa: Kappe, F., Wituschek, S., Bobbert, M., Lechner, M., & Meschut, G. (2022).
Joining of multi-material structures using a versatile self-piercing riveting
process. Production Engineering. https://doi.org/10.1007/s11740-022-01151-w
bibtex: '@article{Kappe_Wituschek_Bobbert_Lechner_Meschut_2022, title={Joining of
multi-material structures using a versatile self-piercing riveting process}, DOI={10.1007/s11740-022-01151-w},
journal={Production Engineering}, publisher={Springer Science and Business Media
LLC}, author={Kappe, Fabian and Wituschek, Simon and Bobbert, Mathias and Lechner,
Michael and Meschut, Gerson}, year={2022} }'
chicago: Kappe, Fabian, Simon Wituschek, Mathias Bobbert, Michael Lechner, and Gerson
Meschut. “Joining of Multi-Material Structures Using a Versatile Self-Piercing
Riveting Process.” Production Engineering, 2022. https://doi.org/10.1007/s11740-022-01151-w.
ieee: 'F. Kappe, S. Wituschek, M. Bobbert, M. Lechner, and G. Meschut, “Joining
of multi-material structures using a versatile self-piercing riveting process,”
Production Engineering, 2022, doi: 10.1007/s11740-022-01151-w.'
mla: Kappe, Fabian, et al. “Joining of Multi-Material Structures Using a Versatile
Self-Piercing Riveting Process.” Production Engineering, Springer Science
and Business Media LLC, 2022, doi:10.1007/s11740-022-01151-w.
short: F. Kappe, S. Wituschek, M. Bobbert, M. Lechner, G. Meschut, Production Engineering
(2022).
date_created: 2022-12-06T13:50:06Z
date_updated: 2023-04-27T07:53:58Z
department:
- _id: '157'
- _id: '630'
doi: 10.1007/s11740-022-01151-w
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
language:
- iso: eng
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '133'
name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '146'
name: 'TRR 285 – C02: TRR 285 - Subproject C02'
publication: Production Engineering
publication_identifier:
issn:
- 0944-6524
- 1863-7353
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Joining of multi-material structures using a versatile self-piercing riveting
process
type: journal_article
user_id: '7850'
year: '2022'
...
---
_id: '30100'
abstract:
- lang: eng
text: Since the application of mechanical joining methods, such as clinching or
riveting, offers a robust solution for the generation of advanced multi-material
connections, the use in the field of lightweight designs (e.g. automotive industry)
is steadily increasing. Therefore, not only the design of an individual joint
is required but also the dimensioning of the entire joining connection is crucial.
However, in comparison to thermal joining techniques, such as spot welding, the
evaluation of the joints’ resistance against defined requirements (e.g. types
of load, minimal amount of load cycles) mainly relies on the consideration of
expert knowledge, a few design principles and a small amount of experimental data.
Since this generally implies the involvement of several domains, such as the material
characterization or the part design, a tremendous amount of data and knowledge
is separately generated for a certain dimensioning process. Nevertheless, the
lack of formalization and standardization in representing the gained knowledge
leads to a difficult and inconsistent reuse, sharing or searching of already existing
information. Thus, this contribution presents a specific ontology for the provision
of cross-domain knowledge about mechanical joining processes and highlights two
potential use cases of this ontology in the design of clinched and pin joints.
author:
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Patricia
full_name: Kügler, Patricia
last_name: Kügler
- first_name: Julian
full_name: Popp, Julian
last_name: Popp
- first_name: Christian Roman
full_name: Bielak, Christian Roman
id: '34782'
last_name: Bielak
- first_name: Mathias
full_name: Bobbert, Mathias
id: '7850'
last_name: Bobbert
- first_name: Dietmar
full_name: Drummer, Dietmar
last_name: Drummer
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
citation:
ama: Zirngibl C, Kügler P, Popp J, et al. Provision of cross-domain knowledge in
mechanical joining using ontologies. Production Engineering. Published
online 2022. doi:10.1007/s11740-022-01117-y
apa: Zirngibl, C., Kügler, P., Popp, J., Bielak, C. R., Bobbert, M., Drummer, D.,
Meschut, G., Wartzack, S., & Schleich, B. (2022). Provision of cross-domain
knowledge in mechanical joining using ontologies. Production Engineering.
https://doi.org/10.1007/s11740-022-01117-y
bibtex: '@article{Zirngibl_Kügler_Popp_Bielak_Bobbert_Drummer_Meschut_Wartzack_Schleich_2022,
title={Provision of cross-domain knowledge in mechanical joining using ontologies},
DOI={10.1007/s11740-022-01117-y},
journal={Production Engineering}, publisher={Springer Science and Business Media
LLC}, author={Zirngibl, Christoph and Kügler, Patricia and Popp, Julian and Bielak,
Christian Roman and Bobbert, Mathias and Drummer, Dietmar and Meschut, Gerson
and Wartzack, Sandro and Schleich, Benjamin}, year={2022} }'
chicago: Zirngibl, Christoph, Patricia Kügler, Julian Popp, Christian Roman Bielak,
Mathias Bobbert, Dietmar Drummer, Gerson Meschut, Sandro Wartzack, and Benjamin
Schleich. “Provision of Cross-Domain Knowledge in Mechanical Joining Using Ontologies.”
Production Engineering, 2022. https://doi.org/10.1007/s11740-022-01117-y.
ieee: 'C. Zirngibl et al., “Provision of cross-domain knowledge in mechanical
joining using ontologies,” Production Engineering, 2022, doi: 10.1007/s11740-022-01117-y.'
mla: Zirngibl, Christoph, et al. “Provision of Cross-Domain Knowledge in Mechanical
Joining Using Ontologies.” Production Engineering, Springer Science and
Business Media LLC, 2022, doi:10.1007/s11740-022-01117-y.
short: C. Zirngibl, P. Kügler, J. Popp, C.R. Bielak, M. Bobbert, D. Drummer, G.
Meschut, S. Wartzack, B. Schleich, Production Engineering (2022).
date_created: 2022-02-25T07:19:45Z
date_updated: 2023-04-27T07:42:19Z
department:
- _id: '157'
doi: 10.1007/s11740-022-01117-y
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
language:
- iso: eng
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
- _id: '133'
name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '145'
name: 'TRR 285 – C01: TRR 285 - Subproject C01'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '135'
name: 'TRR 285 – A01: TRR 285 - Subproject A01'
publication: Production Engineering
publication_identifier:
issn:
- 0944-6524
- 1863-7353
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Provision of cross-domain knowledge in mechanical joining using ontologies
type: journal_article
user_id: '7850'
year: '2022'
...
---
_id: '34244'
author:
- first_name: Fabian
full_name: Kappe, Fabian
last_name: Kappe
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Mathias
full_name: Bobbert, Mathias
last_name: Bobbert
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
- first_name: Gerson
full_name: Meschut, Gerson
last_name: Meschut
citation:
ama: Kappe F, Zirngibl C, Schleich B, Bobbert M, Wartzack S, Meschut G. Determining
the influence of different process parameters on the versatile self-piercing riveting
process using numerical methods. Journal of Manufacturing Processes. 2022;84:1438-1448.
doi:10.1016/j.jmapro.2022.11.019
apa: Kappe, F., Zirngibl, C., Schleich, B., Bobbert, M., Wartzack, S., & Meschut,
G. (2022). Determining the influence of different process parameters on the versatile
self-piercing riveting process using numerical methods. Journal of Manufacturing
Processes, 84, 1438–1448. https://doi.org/10.1016/j.jmapro.2022.11.019
bibtex: '@article{Kappe_Zirngibl_Schleich_Bobbert_Wartzack_Meschut_2022, title={Determining
the influence of different process parameters on the versatile self-piercing riveting
process using numerical methods}, volume={84}, DOI={10.1016/j.jmapro.2022.11.019},
journal={Journal of Manufacturing Processes}, publisher={Elsevier BV}, author={Kappe,
Fabian and Zirngibl, Christoph and Schleich, Benjamin and Bobbert, Mathias and
Wartzack, Sandro and Meschut, Gerson}, year={2022}, pages={1438–1448} }'
chicago: 'Kappe, Fabian, Christoph Zirngibl, Benjamin Schleich, Mathias Bobbert,
Sandro Wartzack, and Gerson Meschut. “Determining the Influence of Different Process
Parameters on the Versatile Self-Piercing Riveting Process Using Numerical Methods.”
Journal of Manufacturing Processes 84 (2022): 1438–48. https://doi.org/10.1016/j.jmapro.2022.11.019.'
ieee: 'F. Kappe, C. Zirngibl, B. Schleich, M. Bobbert, S. Wartzack, and G. Meschut,
“Determining the influence of different process parameters on the versatile self-piercing
riveting process using numerical methods,” Journal of Manufacturing Processes,
vol. 84, pp. 1438–1448, 2022, doi: 10.1016/j.jmapro.2022.11.019.'
mla: Kappe, Fabian, et al. “Determining the Influence of Different Process Parameters
on the Versatile Self-Piercing Riveting Process Using Numerical Methods.” Journal
of Manufacturing Processes, vol. 84, Elsevier BV, 2022, pp. 1438–48, doi:10.1016/j.jmapro.2022.11.019.
short: F. Kappe, C. Zirngibl, B. Schleich, M. Bobbert, S. Wartzack, G. Meschut,
Journal of Manufacturing Processes 84 (2022) 1438–1448.
date_created: 2022-12-06T13:57:46Z
date_updated: 2023-04-27T08:53:36Z
department:
- _id: '157'
- _id: '630'
doi: 10.1016/j.jmapro.2022.11.019
intvolume: ' 84'
keyword:
- Industrial and Manufacturing Engineering
- Management Science and Operations Research
- Strategy and Management
language:
- iso: eng
page: 1438-1448
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '133'
name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '146'
name: 'TRR 285 – C02: TRR 285 - Subproject C02'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
publication: Journal of Manufacturing Processes
publication_identifier:
issn:
- 1526-6125
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Determining the influence of different process parameters on the versatile
self-piercing riveting process using numerical methods
type: journal_article
user_id: '66459'
volume: 84
year: '2022'
...