---
_id: '62053'
abstract:
- lang: eng
text: ABSTRACTThis paper deals with micromagnetic
measurements for online detection of strain‐induced α′‐martensite during plastic
deformation of metastable austenitic steel AISI 304L. The operating principles
of the sensors are magnetic Barkhausen noise (MBN) and eddy currents (EC), which
are suitable for detection of microstructure evolution due to formation of ferromagnetic
phases. The focus of this study was put on the qualification of different micromagnetic
techniques and different measurement systems under conditions similar to the real
ones during production, which is crucial for implementation of a property‐controlled
flow forming process. The investigation was carried out on tubular specimens produced
by flow forming, which have different content of α′‐martensite. To characterize
the sensitivity of the sensors, different contact conditions between sensors and
workpieces were reproduced. MBN sensors are suitable for detecting amount of α′‐martensite,
but the measurements are affected by the surface roughness. This entails that
the calibration models for MBN sensors must take account of these effects. EC
sensors show a closer match with the amount of α′‐martensite without having major
affectation by other effects.
article_number: e13070
author:
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Hanigah
full_name: Kanagarajah, Hanigah
last_name: Kanagarajah
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: Rozo Vasquez J, Kanagarajah H, Arian B, et al. Barkhausen Noise‐ and Eddy Current‐Based
Measurements for Online Detection of Deformation‐Induced Martensite During Flow
Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>. Engineering
Reports. 2024;7(1). doi:10.1002/eng2.13070
apa: Rozo Vasquez, J., Kanagarajah, H., Arian, B., Kersting, L., Homberg, W., Trächtler,
A., & Walther, F. (2024). Barkhausen Noise‐ and Eddy Current‐Based Measurements
for Online Detection of Deformation‐Induced Martensite During Flow Forming of
Metastable Austenitic Steel <scp>AISI 304L</scp>. Engineering
Reports, 7(1), Article e13070. https://doi.org/10.1002/eng2.13070
bibtex: '@article{Rozo Vasquez_Kanagarajah_Arian_Kersting_Homberg_Trächtler_Walther_2024,
title={Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection
of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic
Steel <scp>AISI 304L</scp>}, volume={7}, DOI={10.1002/eng2.13070},
number={1e13070}, journal={Engineering Reports}, publisher={Wiley}, author={Rozo
Vasquez, Julian and Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas
and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}, year={2024} }'
chicago: Rozo Vasquez, Julian, Hanigah Kanagarajah, Bahman Arian, Lukas Kersting,
Werner Homberg, Ansgar Trächtler, and Frank Walther. “Barkhausen Noise‐ and Eddy
Current‐Based Measurements for Online Detection of Deformation‐Induced Martensite
During Flow Forming of Metastable Austenitic Steel <scp>AISI 304L</Scp>.”
Engineering Reports 7, no. 1 (2024). https://doi.org/10.1002/eng2.13070.
ieee: 'J. Rozo Vasquez et al., “Barkhausen Noise‐ and Eddy Current‐Based
Measurements for Online Detection of Deformation‐Induced Martensite During Flow
Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>,”
Engineering Reports, vol. 7, no. 1, Art. no. e13070, 2024, doi: 10.1002/eng2.13070.'
mla: Rozo Vasquez, Julian, et al. “Barkhausen Noise‐ and Eddy Current‐Based Measurements
for Online Detection of Deformation‐Induced Martensite During Flow Forming of
Metastable Austenitic Steel <scp>AISI 304L</Scp>.” Engineering
Reports, vol. 7, no. 1, e13070, Wiley, 2024, doi:10.1002/eng2.13070.
short: J. Rozo Vasquez, H. Kanagarajah, B. Arian, L. Kersting, W. Homberg, A. Trächtler,
F. Walther, Engineering Reports 7 (2024).
date_created: 2025-11-03T10:28:12Z
date_updated: 2025-11-03T10:29:18Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
doi: 10.1002/eng2.13070
intvolume: ' 7'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/eng2.13070
oa: '1'
publication: Engineering Reports
publication_identifier:
issn:
- 2577-8196
- 2577-8196
publication_status: published
publisher: Wiley
status: public
title: Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection
of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic Steel
AISI 304L
type: journal_article
user_id: '82875'
volume: 7
year: '2024'
...
---
_id: '57311'
article_type: original
author:
- first_name: Keke
full_name: Yang, Keke
id: '65085'
last_name: Yang
orcid: 0000-0001-9201-9304
- first_name: Matthias
full_name: Sowada, Matthias
id: '44475'
last_name: Sowada
- first_name: Viktoria
full_name: Olfert, Viktoria
id: '5974'
last_name: Olfert
- first_name: Georg
full_name: Seitz, Georg
last_name: Seitz
- first_name: Vincent
full_name: Schreiber, Vincent
last_name: Schreiber
- first_name: Marcel
full_name: Heitmann, Marcel
id: '38072'
last_name: Heitmann
orcid: 0009-0002-4181-8928
- first_name: David
full_name: Hein, David
id: '7728'
last_name: Hein
- first_name: Max
full_name: Biegler, Max
last_name: Biegler
- first_name: Sven
full_name: Jüttner, Sven
last_name: Jüttner
- first_name: Michael
full_name: Rethmeier, Michael
last_name: Rethmeier
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
citation:
ama: 'Yang K, Sowada M, Olfert V, et al. Influence of liquid metal embrittlement
on the failure behavior of dissimilar spot welds with advanced high-strength steel:
A component study. Journal of Materials Research and Technology. Published
online 2024. doi:10.1016/j.jmrt.2024.11.166'
apa: 'Yang, K., Sowada, M., Olfert, V., Seitz, G., Schreiber, V., Heitmann, M.,
Hein, D., Biegler, M., Jüttner, S., Rethmeier, M., & Meschut, G. (2024). Influence
of liquid metal embrittlement on the failure behavior of dissimilar spot welds
with advanced high-strength steel: A component study. Journal of Materials
Research and Technology. https://doi.org/10.1016/j.jmrt.2024.11.166'
bibtex: '@article{Yang_Sowada_Olfert_Seitz_Schreiber_Heitmann_Hein_Biegler_Jüttner_Rethmeier_et
al._2024, title={Influence of liquid metal embrittlement on the failure behavior
of dissimilar spot welds with advanced high-strength steel: A component study},
DOI={10.1016/j.jmrt.2024.11.166},
journal={Journal of Materials Research and Technology}, publisher={Elsevier BV},
author={Yang, Keke and Sowada, Matthias and Olfert, Viktoria and Seitz, Georg
and Schreiber, Vincent and Heitmann, Marcel and Hein, David and Biegler, Max and
Jüttner, Sven and Rethmeier, Michael and et al.}, year={2024} }'
chicago: 'Yang, Keke, Matthias Sowada, Viktoria Olfert, Georg Seitz, Vincent Schreiber,
Marcel Heitmann, David Hein, et al. “Influence of Liquid Metal Embrittlement on
the Failure Behavior of Dissimilar Spot Welds with Advanced High-Strength Steel:
A Component Study.” Journal of Materials Research and Technology, 2024.
https://doi.org/10.1016/j.jmrt.2024.11.166.'
ieee: 'K. Yang et al., “Influence of liquid metal embrittlement on the failure
behavior of dissimilar spot welds with advanced high-strength steel: A component
study,” Journal of Materials Research and Technology, 2024, doi: 10.1016/j.jmrt.2024.11.166.'
mla: 'Yang, Keke, et al. “Influence of Liquid Metal Embrittlement on the Failure
Behavior of Dissimilar Spot Welds with Advanced High-Strength Steel: A Component
Study.” Journal of Materials Research and Technology, Elsevier BV, 2024,
doi:10.1016/j.jmrt.2024.11.166.'
short: K. Yang, M. Sowada, V. Olfert, G. Seitz, V. Schreiber, M. Heitmann, D. Hein,
M. Biegler, S. Jüttner, M. Rethmeier, G. Meschut, Journal of Materials Research
and Technology (2024).
date_created: 2024-11-21T14:25:40Z
date_updated: 2025-11-10T14:20:05Z
ddc:
- '620'
department:
- _id: '157'
doi: 10.1016/j.jmrt.2024.11.166
file:
- access_level: closed
content_type: application/pdf
creator: kekeyang
date_created: 2025-02-07T10:06:14Z
date_updated: 2025-02-07T10:06:14Z
file_id: '58533'
file_name: KYA_VÖ5.pdf
file_size: 10799297
relation: main_file
success: 1
file_date_updated: 2025-02-07T10:06:14Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Journal of Materials Research and Technology
publication_identifier:
issn:
- 2238-7854
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'Influence of liquid metal embrittlement on the failure behavior of dissimilar
spot welds with advanced high-strength steel: A component study'
type: journal_article
user_id: '65085'
year: '2024'
...
---
_id: '56670'
abstract:
- lang: eng
text: Systems Engineering is becoming increasingly important in the engineering
of complex technical systems. Its introduction is forcing companies to undertake
major transformation initiatives. As established change management approaches
show, the corporate culture is an important key criterion for success of transformation.
Therefore, when introducing Systems Engineering into an organization, transformation
initiatives must be tailored to an existing corporate culture or the corporate
culture itself must be changed in order to enable Systems Engineering. In literature
and in industrial practice, different approaches for assessment of corporate culture
exist. Within this research, a systematic literature review on methods and models
for corporate culture assessment is conducted. Core elements are collected and
combined with the fundamentals and success factors of Systems Engineering to develop
a model for corporate culture assessment. The developed model is applied to the
industrial practice of an ongoing Systems Engineering transformation of a large
car manufacturer. The results of the assessment are compared with the emerging
project challenges. Based on this model and its supporting tool and templates,
organizations and transformation leaders are enabled to rapidly obtain an orientation
of hindering or supporting currently established cultural aspects with regard
to Systems Engineering transformation and to provide a decision basis for further
measures.
author:
- first_name: Iris
full_name: Graessler, Iris
last_name: Graessler
- first_name: Benedikt
full_name: Grewe, Benedikt
last_name: Grewe
citation:
ama: 'Graessler I, Grewe B. Importance of cultural change in Systems Engineering
Transformation: A model for cultural assessment. In: AHFE International.
Vol 158. AHFE International; 2024. doi:10.54941/ahfe1005551'
apa: 'Graessler, I., & Grewe, B. (2024). Importance of cultural change in Systems
Engineering Transformation: A model for cultural assessment. AHFE International,
158. https://doi.org/10.54941/ahfe1005551'
bibtex: '@inproceedings{Graessler_Grewe_2024, title={Importance of cultural change
in Systems Engineering Transformation: A model for cultural assessment}, volume={158},
DOI={10.54941/ahfe1005551},
booktitle={AHFE International}, publisher={AHFE International}, author={Graessler,
Iris and Grewe, Benedikt}, year={2024} }'
chicago: 'Graessler, Iris, and Benedikt Grewe. “Importance of Cultural Change in
Systems Engineering Transformation: A Model for Cultural Assessment.” In AHFE
International, Vol. 158. AHFE International, 2024. https://doi.org/10.54941/ahfe1005551.'
ieee: 'I. Graessler and B. Grewe, “Importance of cultural change in Systems Engineering
Transformation: A model for cultural assessment,” in AHFE International,
2024, vol. 158, doi: 10.54941/ahfe1005551.'
mla: 'Graessler, Iris, and Benedikt Grewe. “Importance of Cultural Change in Systems
Engineering Transformation: A Model for Cultural Assessment.” AHFE International,
vol. 158, AHFE International, 2024, doi:10.54941/ahfe1005551.'
short: 'I. Graessler, B. Grewe, in: AHFE International, AHFE International, 2024.'
date_created: 2024-10-17T15:13:46Z
date_updated: 2025-11-11T06:11:50Z
department:
- _id: '152'
doi: 10.54941/ahfe1005551
intvolume: ' 158'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://openaccess.cms-conferences.org/publications/book/978-1-964867-34-2/article/978-1-964867-34-2_28
oa: '1'
publication: AHFE International
publication_identifier:
issn:
- 2771-0718
publication_status: published
publisher: AHFE International
quality_controlled: '1'
status: public
title: 'Importance of cultural change in Systems Engineering Transformation: A model
for cultural assessment'
type: conference
user_id: '52359'
volume: 158
year: '2024'
...
---
_id: '56346'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
citation:
ama: 'Gräßler I, Özcan D. Quality Key Figures for Developing Future Scenarios. In:
AHFE International. Vol 158. AHFE International; 2024. doi:10.54941/ahfe1005553'
apa: Gräßler, I., & Özcan, D. (2024). Quality Key Figures for Developing Future
Scenarios. AHFE International, 158. https://doi.org/10.54941/ahfe1005553
bibtex: '@inproceedings{Gräßler_Özcan_2024, title={Quality Key Figures for Developing
Future Scenarios}, volume={158}, DOI={10.54941/ahfe1005553},
booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler,
Iris and Özcan, Deniz}, year={2024} }'
chicago: Gräßler, Iris, and Deniz Özcan. “Quality Key Figures for Developing Future
Scenarios.” In AHFE International, Vol. 158. AHFE International, 2024.
https://doi.org/10.54941/ahfe1005553.
ieee: 'I. Gräßler and D. Özcan, “Quality Key Figures for Developing Future Scenarios,”
in AHFE International, Split, 2024, vol. 158, doi: 10.54941/ahfe1005553.'
mla: Gräßler, Iris, and Deniz Özcan. “Quality Key Figures for Developing Future
Scenarios.” AHFE International, vol. 158, AHFE International, 2024, doi:10.54941/ahfe1005553.
short: 'I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2024.'
conference:
end_date: 2024-09-26
location: Split
name: '6th International Conference on Human Systems Engineering and Design (IHSED2024):
Future Trends and Applications'
start_date: 2024-09-24
date_created: 2024-10-07T07:33:08Z
date_updated: 2025-11-13T16:42:28Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.54941/ahfe1005553
intvolume: ' 158'
language:
- iso: eng
publication: AHFE International
publication_identifier:
unknown:
- 2771-0718
publication_status: published
publisher: AHFE International
quality_controlled: '1'
status: public
title: Quality Key Figures for Developing Future Scenarios
type: conference
user_id: '58595'
volume: 158
year: '2024'
...
---
_id: '62767'
abstract:
- lang: eng
text: "Abstract\r\n In this study, we
develop a novel multi-fidelity deep learning approach that transforms low-fidelity
solution maps into high-fidelity ones by incorporating parametric space information
into an autoencoder architecture. This method’s integration of parametric space
information significantly reduces the amount of training data needed to effectively
predict high-fidelity solutions from low-fidelity ones. In this study, we examine
a two-dimensional steady-state heat transfer analysis within a heterogeneous materials
microstructure. The heat conductivity coefficients for two different materials
are condensed from a 101 \r\n \r\n
\ $$\\times $$\r\n \r\n ×\r\n
\ \r\n \r\n 101
grid to smaller grids. We then solve the boundary value problem on the coarsest
grid using a pre-trained physics-informed neural operator network known as Finite
Operator Learning (FOL). The resulting low-fidelity solution is subsequently upscaled
back to a 101 \r\n \r\n $$\\times
$$\r\n \r\n
\ ×\r\n \r\n \r\n
\ 101 grid using a newly designed enhanced autoencoder.
The novelty of the developed enhanced autoencoder lies in the concatenation of
heat conductivity maps of different resolutions to the decoder segment in distinct
steps. Hence the developed algorithm is named microstructure-embedded autoencoder
(MEA). We compare the MEA outcomes with those from finite element methods, the
standard U-Net, and an interpolation approach as an upscaling technique. Our analysis
shows that MEA outperforms these methods in terms of computational efficiency
and error on representative test cases. As a result, the MEA serves as a potential
supplement to neural operator networks, effectively upscaling low-fidelity solutions
to high-fidelity while preserving critical details often lost in traditional upscaling
methods, such as sharp interfaces features lost in the context of interpolation
approaches."
author:
- first_name: Rasoul
full_name: Najafi Koopas, Rasoul
last_name: Najafi Koopas
- first_name: Shahed
full_name: Rezaei, Shahed
last_name: Rezaei
- first_name: Natalie
full_name: Rauter, Natalie
last_name: Rauter
- first_name: Richard
full_name: Ostwald, Richard
id: '106876'
last_name: Ostwald
orcid: 0000-0003-2147-8444
- first_name: Rolf
full_name: Lammering, Rolf
last_name: Lammering
citation:
ama: Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. Introducing a
microstructure-embedded autoencoder approach for reconstructing high-resolution
solution field data from a reduced parametric space. Computational Mechanics.
2024;75(4):1377-1406. doi:10.1007/s00466-024-02568-z
apa: Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., & Lammering, R.
(2024). Introducing a microstructure-embedded autoencoder approach for reconstructing
high-resolution solution field data from a reduced parametric space. Computational
Mechanics, 75(4), 1377–1406. https://doi.org/10.1007/s00466-024-02568-z
bibtex: '@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={Introducing
a microstructure-embedded autoencoder approach for reconstructing high-resolution
solution field data from a reduced parametric space}, volume={75}, DOI={10.1007/s00466-024-02568-z},
number={4}, journal={Computational Mechanics}, publisher={Springer Science and
Business Media LLC}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter,
Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024}, pages={1377–1406}
}'
chicago: 'Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald,
and Rolf Lammering. “Introducing a Microstructure-Embedded Autoencoder Approach
for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric
Space.” Computational Mechanics 75, no. 4 (2024): 1377–1406. https://doi.org/10.1007/s00466-024-02568-z.'
ieee: 'R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “Introducing
a microstructure-embedded autoencoder approach for reconstructing high-resolution
solution field data from a reduced parametric space,” Computational Mechanics,
vol. 75, no. 4, pp. 1377–1406, 2024, doi: 10.1007/s00466-024-02568-z.'
mla: Najafi Koopas, Rasoul, et al. “Introducing a Microstructure-Embedded Autoencoder
Approach for Reconstructing High-Resolution Solution Field Data from a Reduced
Parametric Space.” Computational Mechanics, vol. 75, no. 4, Springer Science
and Business Media LLC, 2024, pp. 1377–406, doi:10.1007/s00466-024-02568-z.
short: R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Computational
Mechanics 75 (2024) 1377–1406.
date_created: 2025-12-03T12:37:08Z
date_updated: 2025-12-03T12:51:26Z
department:
- _id: '952'
- _id: '321'
doi: 10.1007/s00466-024-02568-z
intvolume: ' 75'
issue: '4'
language:
- iso: eng
page: 1377-1406
publication: Computational Mechanics
publication_identifier:
issn:
- 0178-7675
- 1432-0924
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Introducing a microstructure-embedded autoencoder approach for reconstructing
high-resolution solution field data from a reduced parametric space
type: journal_article
user_id: '85414'
volume: 75
year: '2024'
...
---
_id: '62770'
abstract:
- lang: eng
text: AbstractThe open-source parameter identification
tool ADAPT (A diversely applicable parameter identification Tool) is integrated
with a machine learning-based approach for start value prediction in order to
calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative
example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network
(ANN) is initially trained by using load–displacement curves derived from simulations
of a boundary value problem—instead of using data generated for homogeneous states
of deformation at material point or one-element level—with varying material parameter
combinations. The ANN is then employed so as to predict sets of material parameters
that already provide close solutions to the experiment. These predicted parameter
sets serve as starting values for a subsequent multi-objective parameter identification
by using ADAPT. ADAPT allows for the consideration of input data from multiple
scales, including integral data such as load–displacement curves, full-field data
such as displacement and strain fields, and high-resolution experimental void
data at the micro-scale. The influence of each data set on prediction quality
is analyzed. Using various types of input data introduces additional information,
enhancing prediction accuracy. The validation is carried out with respect to experimental
void measurements of forward rod extruded parts. The results demonstrate, by incorporating
void measurements in the optimization process, that it is possible to improve
the quantitative prediction of ductile damage in the sense of void area fractions
by factor 28 in forward rod extrusion.
author:
- first_name: Jan
full_name: Gerlach, Jan
last_name: Gerlach
- first_name: Robin
full_name: Schulte, Robin
last_name: Schulte
- first_name: Alexander
full_name: Schowtjak, Alexander
last_name: Schowtjak
- first_name: Till
full_name: Clausmeyer, Till
last_name: Clausmeyer
- first_name: Richard
full_name: Ostwald, Richard
id: '106876'
last_name: Ostwald
orcid: 0000-0003-2147-8444
- first_name: A. Erman
full_name: Tekkaya, A. Erman
last_name: Tekkaya
- first_name: Andreas
full_name: Menzel, Andreas
last_name: Menzel
citation:
ama: Gerlach J, Schulte R, Schowtjak A, et al. Enhancing damage prediction in bulk
metal forming through machine learning-assisted parameter identification. Archive
of Applied Mechanics. 2024;94(8):2217-2242. doi:10.1007/s00419-024-02634-1
apa: Gerlach, J., Schulte, R., Schowtjak, A., Clausmeyer, T., Ostwald, R., Tekkaya,
A. E., & Menzel, A. (2024). Enhancing damage prediction in bulk metal forming
through machine learning-assisted parameter identification. Archive of Applied
Mechanics, 94(8), 2217–2242. https://doi.org/10.1007/s00419-024-02634-1
bibtex: '@article{Gerlach_Schulte_Schowtjak_Clausmeyer_Ostwald_Tekkaya_Menzel_2024,
title={Enhancing damage prediction in bulk metal forming through machine learning-assisted
parameter identification}, volume={94}, DOI={10.1007/s00419-024-02634-1},
number={8}, journal={Archive of Applied Mechanics}, publisher={Springer Science
and Business Media LLC}, author={Gerlach, Jan and Schulte, Robin and Schowtjak,
Alexander and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and
Menzel, Andreas}, year={2024}, pages={2217–2242} }'
chicago: 'Gerlach, Jan, Robin Schulte, Alexander Schowtjak, Till Clausmeyer, Richard
Ostwald, A. Erman Tekkaya, and Andreas Menzel. “Enhancing Damage Prediction in
Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.”
Archive of Applied Mechanics 94, no. 8 (2024): 2217–42. https://doi.org/10.1007/s00419-024-02634-1.'
ieee: 'J. Gerlach et al., “Enhancing damage prediction in bulk metal forming
through machine learning-assisted parameter identification,” Archive of Applied
Mechanics, vol. 94, no. 8, pp. 2217–2242, 2024, doi: 10.1007/s00419-024-02634-1.'
mla: Gerlach, Jan, et al. “Enhancing Damage Prediction in Bulk Metal Forming through
Machine Learning-Assisted Parameter Identification.” Archive of Applied Mechanics,
vol. 94, no. 8, Springer Science and Business Media LLC, 2024, pp. 2217–42, doi:10.1007/s00419-024-02634-1.
short: J. Gerlach, R. Schulte, A. Schowtjak, T. Clausmeyer, R. Ostwald, A.E. Tekkaya,
A. Menzel, Archive of Applied Mechanics 94 (2024) 2217–2242.
date_created: 2025-12-03T12:46:31Z
date_updated: 2025-12-03T12:50:41Z
department:
- _id: '952'
- _id: '321'
doi: 10.1007/s00419-024-02634-1
intvolume: ' 94'
issue: '8'
language:
- iso: eng
page: 2217-2242
publication: Archive of Applied Mechanics
publication_identifier:
issn:
- 0939-1533
- 1432-0681
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Enhancing damage prediction in bulk metal forming through machine learning-assisted
parameter identification
type: journal_article
user_id: '85414'
volume: 94
year: '2024'
...
---
_id: '62768'
article_number: '110675'
author:
- first_name: Rasoul
full_name: Najafi Koopas, Rasoul
last_name: Najafi Koopas
- first_name: Shahed
full_name: Rezaei, Shahed
last_name: Rezaei
- first_name: Natalie
full_name: Rauter, Natalie
last_name: Rauter
- first_name: Richard
full_name: Ostwald, Richard
id: '106876'
last_name: Ostwald
orcid: 0000-0003-2147-8444
- first_name: Rolf
full_name: Lammering, Rolf
last_name: Lammering
citation:
ama: 'Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. A spatiotemporal
deep learning framework for prediction of crack dynamics in heterogeneous solids:
Efficient mapping of concrete microstructures to its fracture properties. Engineering
Fracture Mechanics. 2024;314. doi:10.1016/j.engfracmech.2024.110675'
apa: 'Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., & Lammering, R.
(2024). A spatiotemporal deep learning framework for prediction of crack dynamics
in heterogeneous solids: Efficient mapping of concrete microstructures to its
fracture properties. Engineering Fracture Mechanics, 314, Article
110675. https://doi.org/10.1016/j.engfracmech.2024.110675'
bibtex: '@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={A spatiotemporal
deep learning framework for prediction of crack dynamics in heterogeneous solids:
Efficient mapping of concrete microstructures to its fracture properties}, volume={314},
DOI={10.1016/j.engfracmech.2024.110675},
number={110675}, journal={Engineering Fracture Mechanics}, publisher={Elsevier
BV}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and
Ostwald, Richard and Lammering, Rolf}, year={2024} }'
chicago: 'Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald,
and Rolf Lammering. “A Spatiotemporal Deep Learning Framework for Prediction of
Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures
to Its Fracture Properties.” Engineering Fracture Mechanics 314 (2024).
https://doi.org/10.1016/j.engfracmech.2024.110675.'
ieee: 'R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “A
spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous
solids: Efficient mapping of concrete microstructures to its fracture properties,”
Engineering Fracture Mechanics, vol. 314, Art. no. 110675, 2024, doi: 10.1016/j.engfracmech.2024.110675.'
mla: 'Najafi Koopas, Rasoul, et al. “A Spatiotemporal Deep Learning Framework for
Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete
Microstructures to Its Fracture Properties.” Engineering Fracture Mechanics,
vol. 314, 110675, Elsevier BV, 2024, doi:10.1016/j.engfracmech.2024.110675.'
short: R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Engineering
Fracture Mechanics 314 (2024).
date_created: 2025-12-03T12:40:42Z
date_updated: 2025-12-03T12:51:12Z
department:
- _id: '952'
- _id: '321'
doi: 10.1016/j.engfracmech.2024.110675
intvolume: ' 314'
language:
- iso: eng
publication: Engineering Fracture Mechanics
publication_identifier:
issn:
- 0013-7944
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'A spatiotemporal deep learning framework for prediction of crack dynamics
in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture
properties'
type: journal_article
user_id: '85414'
volume: 314
year: '2024'
...
---
_id: '63346'
abstract:
- lang: eng
text: Lightweight design by using low-density and load-adapted materials
can reduce the weight of vehicles and the emissions generated during operation.
However, the usage of different materials requires innovative joining technologies
with increased versatility. In this investigation, the focus is on describing
and characterising the failure behaviour of connections manufactured by an innovative
thermomechanical joining process with adaptable auxiliary joining elements in
single-lap tensile-shear tests. In order to analyse the failure development in
detail, the specimens are investigated using in-situ computed tomography (in-situ
CT). Here, the tensile-shear test is interrupted at points of interest and CT
scans are conducted under load. In addition, the interrupted in-situ testing procedure
is validated by comparing the loading behaviour with conventional continuous tensile-shear
tests. The results of the in-situ investigations of joints with varying material
combinations clearly describe the cause of failure, allowing conclusions towards
an improved joint design.
author:
- first_name: Thomas
full_name: Borgert, Thomas
id: '83141'
last_name: Borgert
- first_name: D
full_name: Köhler, D
last_name: Köhler
- first_name: Eugen
full_name: Wiens, Eugen
id: '7888'
last_name: Wiens
- first_name: R
full_name: Kupfer, R
last_name: Kupfer
- first_name: J
full_name: Troschitz, J
last_name: Troschitz
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: M
full_name: Gude, M
last_name: Gude
citation:
ama: 'Borgert T, Köhler D, Wiens E, et al. In-situ computed tomography analysis
of the failure mechanisms of thermomechanically manufactured joints with auxiliary
joining element. Proceedings of the Institution of Mechanical Engineers, Part
L: Journal of Materials: Design and Applications. 2024;238(12):2299-2306.
doi:10.1177/14644207241232233'
apa: 'Borgert, T., Köhler, D., Wiens, E., Kupfer, R., Troschitz, J., Homberg, W.,
& Gude, M. (2024). In-situ computed tomography analysis of the failure mechanisms
of thermomechanically manufactured joints with auxiliary joining element. Proceedings
of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design
and Applications, 238(12), 2299–2306. https://doi.org/10.1177/14644207241232233'
bibtex: '@article{Borgert_Köhler_Wiens_Kupfer_Troschitz_Homberg_Gude_2024, title={In-situ
computed tomography analysis of the failure mechanisms of thermomechanically manufactured
joints with auxiliary joining element}, volume={238}, DOI={10.1177/14644207241232233},
number={12}, journal={Proceedings of the Institution of Mechanical Engineers,
Part L: Journal of Materials: Design and Applications}, publisher={SAGE Publications},
author={Borgert, Thomas and Köhler, D and Wiens, Eugen and Kupfer, R and Troschitz,
J and Homberg, Werner and Gude, M}, year={2024}, pages={2299–2306} }'
chicago: 'Borgert, Thomas, D Köhler, Eugen Wiens, R Kupfer, J Troschitz, Werner
Homberg, and M Gude. “In-Situ Computed Tomography Analysis of the Failure Mechanisms
of Thermomechanically Manufactured Joints with Auxiliary Joining Element.” Proceedings
of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design
and Applications 238, no. 12 (2024): 2299–2306. https://doi.org/10.1177/14644207241232233.'
ieee: 'T. Borgert et al., “In-situ computed tomography analysis of the failure
mechanisms of thermomechanically manufactured joints with auxiliary joining element,”
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of
Materials: Design and Applications, vol. 238, no. 12, pp. 2299–2306, 2024,
doi: 10.1177/14644207241232233.'
mla: 'Borgert, Thomas, et al. “In-Situ Computed Tomography Analysis of the Failure
Mechanisms of Thermomechanically Manufactured Joints with Auxiliary Joining Element.”
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of
Materials: Design and Applications, vol. 238, no. 12, SAGE Publications, 2024,
pp. 2299–306, doi:10.1177/14644207241232233.'
short: 'T. Borgert, D. Köhler, E. Wiens, R. Kupfer, J. Troschitz, W. Homberg, M.
Gude, Proceedings of the Institution of Mechanical Engineers, Part L: Journal
of Materials: Design and Applications 238 (2024) 2299–2306.'
date_created: 2025-12-19T09:13:30Z
date_updated: 2025-12-22T10:40:28Z
department:
- _id: '156'
doi: 10.1177/14644207241232233
intvolume: ' 238'
issue: '12'
language:
- iso: eng
page: 2299-2306
publication: 'Proceedings of the Institution of Mechanical Engineers, Part L: Journal
of Materials: Design and Applications'
publication_identifier:
issn:
- 1464-4207
- 2041-3076
publication_status: published
publisher: SAGE Publications
quality_controlled: '1'
status: public
title: In-situ computed tomography analysis of the failure mechanisms of thermomechanically
manufactured joints with auxiliary joining element
type: journal_article
user_id: '7888'
volume: 238
year: '2024'
...
---
_id: '56289'
author:
- first_name: Karl
full_name: Seeger, Karl
last_name: Seeger
- first_name: Matteo
full_name: Genovese, Matteo
last_name: Genovese
- first_name: Alexander
full_name: Schlüter, Alexander
id: '103302'
last_name: Schlüter
orcid: 0000-0002-2569-1624
- first_name: Christina
full_name: Kockel, Christina
last_name: Kockel
- first_name: Orlando
full_name: Corigliano, Orlando
last_name: Corigliano
- first_name: Edith Benjamina
full_name: Díaz Canales, Edith Benjamina
id: '105704'
last_name: Díaz Canales
orcid: 0009-0007-2748-0074
- first_name: Petronilla
full_name: Fragiacomo, Petronilla
last_name: Fragiacomo
- first_name: Aaron
full_name: Praktiknjo, Aaron
last_name: Praktiknjo
citation:
ama: Seeger K, Genovese M, Schlüter A, et al. Evaluating Supply Scenarios for Hydrogen
and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic
Assessment. United States Association for Energy Economics (USAEE) & International
Association for Energy Economics (IAEE) Research Paper Series. Published online
2024.
apa: Seeger, K., Genovese, M., Schlüter, A., Kockel, C., Corigliano, O., Díaz Canales,
E. B., Fragiacomo, P., & Praktiknjo, A. (2024). Evaluating Supply Scenarios
for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a
Techno-Economic Assessment. In United States Association for Energy Economics
(USAEE) & International Association for Energy Economics (IAEE) Research Paper
Series. Elsevier BV.
bibtex: '@article{Seeger_Genovese_Schlüter_Kockel_Corigliano_Díaz Canales_Fragiacomo_Praktiknjo_2024,
title={Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile,
and Algeria to Germany via a Techno-Economic Assessment}, journal={United States
Association for Energy Economics (USAEE) & International Association for Energy
Economics (IAEE) Research Paper Series}, publisher={Elsevier BV}, author={Seeger,
Karl and Genovese, Matteo and Schlüter, Alexander and Kockel, Christina and Corigliano,
Orlando and Díaz Canales, Edith Benjamina and Fragiacomo, Petronilla and Praktiknjo,
Aaron}, year={2024} }'
chicago: Seeger, Karl, Matteo Genovese, Alexander Schlüter, Christina Kockel, Orlando
Corigliano, Edith Benjamina Díaz Canales, Petronilla Fragiacomo, and Aaron Praktiknjo.
“Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile,
and Algeria to Germany via a Techno-Economic Assessment.” United States Association
for Energy Economics (USAEE) & International Association for Energy Economics
(IAEE) Research Paper Series. Elsevier BV, 2024.
ieee: K. Seeger et al., “Evaluating Supply Scenarios for Hydrogen and Green
Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment,”
United States Association for Energy Economics (USAEE) & International
Association for Energy Economics (IAEE) Research Paper Series. Elsevier BV,
2024.
mla: Seeger, Karl, et al. “Evaluating Supply Scenarios for Hydrogen and Green Fuels
from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment.”
United States Association for Energy Economics (USAEE) & International
Association for Energy Economics (IAEE) Research Paper Series, Elsevier BV,
2024.
short: K. Seeger, M. Genovese, A. Schlüter, C. Kockel, O. Corigliano, E.B. Díaz
Canales, P. Fragiacomo, A. Praktiknjo, United States Association for Energy Economics
(USAEE) & International Association for Energy Economics (IAEE) Research Paper
Series (2024).
date_created: 2024-10-01T09:34:06Z
date_updated: 2026-01-06T08:00:25Z
department:
- _id: '876'
- _id: '9'
- _id: '393'
- _id: '321'
external_id:
unknown:
- https://dx.doi.org/10.2139/ssrn.4966589
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dx.doi.org/10.2139/ssrn.4966589
oa: '1'
publication: United States Association for Energy Economics (USAEE) & International
Association for Energy Economics (IAEE) Research Paper Series
publication_status: published
publisher: Elsevier BV
status: public
title: Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile,
and Algeria to Germany via a Techno-Economic Assessment
type: preprint
user_id: '103302'
year: '2024'
...
---
_id: '56357'
alternative_title:
- SDEWES2024.1202
author:
- first_name: Edith Benjamina
full_name: Díaz Canales, Edith Benjamina
id: '105704'
last_name: Díaz Canales
orcid: 0009-0007-2748-0074
- first_name: Alfredo
full_name: Avila , Alfredo
last_name: 'Avila '
- first_name: 'Sabine '
full_name: 'Schlüter, Sabine '
last_name: Schlüter
- first_name: Erick
full_name: Lacayo, Erick
last_name: Lacayo
- first_name: Alexander
full_name: Schlüter, Alexander
id: '103302'
last_name: Schlüter
orcid: 0000-0002-2569-1624
citation:
ama: 'Díaz Canales EB, Avila A, Schlüter S, Lacayo E, Schlüter A. Implementing
Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua
as a case study. In: 19th Conference on Sustainable Development of Energy,
Water and Environment Systems. Digital Proceedings (Conference on Sustainable
Development of Energy, Water and Environment Systems). Faculty of Mechanical
Engineering and Naval Architecture, Zagreb; 2024.'
apa: 'Díaz Canales, E. B., Avila , A., Schlüter, S., Lacayo, E., & Schlüter,
A. (2024). Implementing Strategic Environmental Assessment (SEA) in the Global
South, a challenge: Nicaragua as a case study. 19th Conference on Sustainable
Development of Energy, Water and Environment Systems. 19th Conference on Sustainable
Development of Energy, Water and Environment Systems (SDEWES), Rome.'
bibtex: '@inproceedings{Díaz Canales_Avila _Schlüter_Lacayo_Schlüter_2024, series={Digital
Proceedings (Conference on Sustainable Development of Energy, Water and Environment
Systems)}, title={Implementing Strategic Environmental Assessment (SEA) in the
Global South, a challenge: Nicaragua as a case study.}, booktitle={19th Conference
on Sustainable Development of Energy, Water and Environment Systems}, publisher={
Faculty of Mechanical Engineering and Naval Architecture, Zagreb}, author={Díaz
Canales, Edith Benjamina and Avila , Alfredo and Schlüter, Sabine and Lacayo,
Erick and Schlüter, Alexander}, year={2024}, collection={Digital Proceedings (Conference
on Sustainable Development of Energy, Water and Environment Systems)} }'
chicago: 'Díaz Canales, Edith Benjamina, Alfredo Avila , Sabine Schlüter, Erick
Lacayo, and Alexander Schlüter. “Implementing Strategic Environmental Assessment
(SEA) in the Global South, a Challenge: Nicaragua as a Case Study.” In 19th
Conference on Sustainable Development of Energy, Water and Environment Systems.
Digital Proceedings (Conference on Sustainable Development of Energy, Water and
Environment Systems). Faculty of Mechanical Engineering and Naval Architecture,
Zagreb, 2024.'
ieee: 'E. B. Díaz Canales, A. Avila , S. Schlüter, E. Lacayo, and A. Schlüter, “Implementing
Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua
as a case study.,” presented at the 19th Conference on Sustainable Development
of Energy, Water and Environment Systems (SDEWES), Rome, 2024.'
mla: 'Díaz Canales, Edith Benjamina, et al. “Implementing Strategic Environmental
Assessment (SEA) in the Global South, a Challenge: Nicaragua as a Case Study.”
19th Conference on Sustainable Development of Energy, Water and Environment
Systems, Faculty of Mechanical Engineering and Naval Architecture, Zagreb,
2024.'
short: 'E.B. Díaz Canales, A. Avila , S. Schlüter, E. Lacayo, A. Schlüter, in: 19th
Conference on Sustainable Development of Energy, Water and Environment Systems, Faculty
of Mechanical Engineering and Naval Architecture, Zagreb, 2024.'
conference:
end_date: 2024-09-12
location: Rome
name: 19th Conference on Sustainable Development of Energy, Water and Environment
Systems (SDEWES)
start_date: 2024-09-08
date_created: 2024-10-07T10:15:05Z
date_updated: 2026-01-06T08:14:34Z
department:
- _id: '876'
- _id: '321'
- _id: '9'
- _id: '393'
language:
- iso: eng
publication: 19th Conference on Sustainable Development of Energy, Water and Environment
Systems
publication_identifier:
unknown:
- 2706-3690
publisher: ' Faculty of Mechanical Engineering and Naval Architecture, Zagreb'
series_title: Digital Proceedings (Conference on Sustainable Development of Energy,
Water and Environment Systems)
status: public
title: 'Implementing Strategic Environmental Assessment (SEA) in the Global South,
a challenge: Nicaragua as a case study.'
type: conference
user_id: '103302'
year: '2024'
...
---
_id: '57190'
abstract:
- lang: eng
text: This paper deals with the modeling of a soft sensor for detecting α’-martensite
evolution from the micromagnetic signals that are measured during the reverse
flow forming of metastable AISI 304L austenitic steel. This model can be prospectively
used inside a closed-loop property-controlled flow forming process. To achieve
this, optimization by means of a non-linear regression of experimental data was
carried out. To collect the experimental data, specimens were produced by flow
forming seamless tubes at room temperature. Using a combination of production
parameters (like the infeed depth and feed rate), specimens with different α’-martensite
contents and wall-thickness reductions were produced. An equation to compute α’-martensite
from both specific production-process parameters and micromagnetic Barkhausen
noise (MBN) measurements was obtained using numerical methods. In this process,
the behavior of the quantity of interest (namely, the α’-martensite content) was
mathematically evaluated with respect to non-destructive MBN data and the feed
rate that was used to produce the components. A combination of exponential and
potential functions was defined as the ansatz functions of the model. The obtained
model was validated online and offline during the real flow forming of workpieces,
obtaining average deviations of up to 7% α’-martensite with respect to the model.
The implementation of the soft sensor model for property-controlled production
represents an important milestone for producing high-added-value components on
the basis of a well-understood process-microstructure-property relationship.
author:
- first_name: 'Julian '
full_name: 'Rozo Vasquez, Julian '
last_name: Rozo Vasquez
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Rozo Vasquez J, Kersting L, Arian B, Homberg W, Trächtler A, Walther F. Soft
Sensor Model of Phase Transformation During Flow Forming of Metastable Austenitic
Steel AISI 304L. In: Lecture Notes in Mechanical Engineering. Springer
International Publishing; 2024. doi:10.1007/978-3-031-58006-2_10'
apa: Rozo Vasquez, J., Kersting, L., Arian, B., Homberg, W., Trächtler, A., &
Walther, F. (2024). Soft Sensor Model of Phase Transformation During Flow Forming
of Metastable Austenitic Steel AISI 304L. In Lecture Notes in Mechanical Engineering.
Springer International Publishing. https://doi.org/10.1007/978-3-031-58006-2_10
bibtex: '@inbook{Rozo Vasquez_Kersting_Arian_Homberg_Trächtler_Walther_2024, place={Cham},
title={Soft Sensor Model of Phase Transformation During Flow Forming of Metastable
Austenitic Steel AISI 304L}, DOI={10.1007/978-3-031-58006-2_10},
booktitle={Lecture Notes in Mechanical Engineering}, publisher={Springer International
Publishing}, author={Rozo Vasquez, Julian and Kersting, Lukas and Arian, Bahman
and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}, year={2024} }'
chicago: 'Rozo Vasquez, Julian , Lukas Kersting, Bahman Arian, Werner Homberg, Ansgar
Trächtler, and Frank Walther. “Soft Sensor Model of Phase Transformation During
Flow Forming of Metastable Austenitic Steel AISI 304L.” In Lecture Notes in
Mechanical Engineering. Cham: Springer International Publishing, 2024. https://doi.org/10.1007/978-3-031-58006-2_10.'
ieee: 'J. Rozo Vasquez, L. Kersting, B. Arian, W. Homberg, A. Trächtler, and F.
Walther, “Soft Sensor Model of Phase Transformation During Flow Forming of Metastable
Austenitic Steel AISI 304L,” in Lecture Notes in Mechanical Engineering,
Cham: Springer International Publishing, 2024.'
mla: Rozo Vasquez, Julian, et al. “Soft Sensor Model of Phase Transformation During
Flow Forming of Metastable Austenitic Steel AISI 304L.” Lecture Notes in Mechanical
Engineering, Springer International Publishing, 2024, doi:10.1007/978-3-031-58006-2_10.
short: 'J. Rozo Vasquez, L. Kersting, B. Arian, W. Homberg, A. Trächtler, F. Walther,
in: Lecture Notes in Mechanical Engineering, Springer International Publishing,
Cham, 2024.'
date_created: 2024-11-18T10:24:06Z
date_updated: 2024-11-18T10:39:03Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
doi: 10.1007/978-3-031-58006-2_10
language:
- iso: eng
place: Cham
publication: Lecture Notes in Mechanical Engineering
publication_identifier:
isbn:
- '9783031580055'
- '9783031580062'
issn:
- 2195-4356
- 2195-4364
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
status: public
title: Soft Sensor Model of Phase Transformation During Flow Forming of Metastable
Austenitic Steel AISI 304L
type: book_chapter
user_id: '41470'
year: '2024'
...
---
_id: '57189'
abstract:
- lang: eng
text: "This paper deals with micromagnetic measurements for online detection of\r\nstrain-induced
α’-martensite during plastic deformation of metastable\r\naustenitic steel AISI
304L. The operating principles of the sensors are\r\nBarkhausen noise (MBN) and
eddy currents (EC), which are suitable for\r\ndetection of microstructure evolution
due to formation of ferromagnetic\r\nphases. Nevertheless, the description of
the calibration and\r\ntransformation models of the micromagnetic measurements
into\r\nquantitative α’-martensite fractions is beyond the scope of this paper.\r\nThe
focus will be put on the qualification of different micromagnetic\r\nmethods as
well as of different measurement systems under conditions\r\nsimilar to the real
ones during production, which is crucial for\r\nimplementation of a property-controlled
flow forming process. The\r\ninvestigation was carried out on tubular specimens
produced by flow\r\nforming, which have different content of α’-martensite. To
characterize\r\nthe sensitivity of the sensors, different contact conditions between\r\nsensors
and workpieces were reproduced. MBN sensors are suitable for\r\ndetecting amount
of α’-martensite, but the measurements are affected by\r\nthe surface roughness.
This entails that the calibration models for MBN\r\nsensors must take account
of these effects. EC sensors show a closer\r\nmatch with the amount of α’-martensite
without having major affectation\r\nby other effects."
author:
- first_name: 'Julian '
full_name: 'Rozo Vasquez, Julian '
last_name: Rozo Vasquez
- first_name: Hanigah
full_name: Kanagarajah, Hanigah
last_name: Kanagarajah
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Rozo Vasquez J, Kanagarajah H, Arian B, et al. Barkhausen noise- and eddy
current-based measurements for online detection of deformation-induced martensite
during flow forming of metastable austenitic steel AISI 304L. In: Authorea, Inc.;
2024.'
apa: Rozo Vasquez, J., Kanagarajah, H., Arian, B., Kersting, L., Homberg, W., Trächtler,
A., & Walther, F. (2024). Barkhausen noise- and eddy current-based measurements
for online detection of deformation-induced martensite during flow forming of
metastable austenitic steel AISI 304L.
bibtex: '@inproceedings{Rozo Vasquez_Kanagarajah_Arian_Kersting_Homberg_Trächtler_Walther_2024,
title={Barkhausen noise- and eddy current-based measurements for online detection
of deformation-induced martensite during flow forming of metastable austenitic
steel AISI 304L}, publisher={Authorea, Inc.}, author={Rozo Vasquez, Julian and
Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas and Homberg, Werner
and Trächtler, Ansgar and Walther, Frank}, year={2024} }'
chicago: Rozo Vasquez, Julian , Hanigah Kanagarajah, Bahman Arian, Lukas Kersting,
Werner Homberg, Ansgar Trächtler, and Frank Walther. “Barkhausen Noise- and Eddy
Current-Based Measurements for Online Detection of Deformation-Induced Martensite
during Flow Forming of Metastable Austenitic Steel AISI 304L.” Authorea, Inc.,
2024.
ieee: J. Rozo Vasquez et al., “Barkhausen noise- and eddy current-based measurements
for online detection of deformation-induced martensite during flow forming of
metastable austenitic steel AISI 304L,” 2024.
mla: Rozo Vasquez, Julian, et al. Barkhausen Noise- and Eddy Current-Based Measurements
for Online Detection of Deformation-Induced Martensite during Flow Forming of
Metastable Austenitic Steel AISI 304L. Authorea, Inc., 2024.
short: 'J. Rozo Vasquez, H. Kanagarajah, B. Arian, L. Kersting, W. Homberg, A. Trächtler,
F. Walther, in: Authorea, Inc., 2024.'
date_created: 2024-11-18T10:22:34Z
date_updated: 2024-11-18T10:39:19Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
language:
- iso: eng
publication_status: published
publisher: Authorea, Inc.
quality_controlled: '1'
status: public
title: Barkhausen noise- and eddy current-based measurements for online detection
of deformation-induced martensite during flow forming of metastable austenitic steel
AISI 304L
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57175'
author:
- first_name: Lukas
full_name: Bathelt, Lukas
last_name: Bathelt
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Bathelt L, Djakow E, Henke C, Trächtler A. Innovative measurement system for
saber curvature observation in straightening processes. Procedia Computer Science.
2024;232:2018-2027. doi:10.1016/j.procs.2024.02.024
apa: Bathelt, L., Djakow, E., Henke, C., & Trächtler, A. (2024). Innovative
measurement system for saber curvature observation in straightening processes.
Procedia Computer Science, 232, 2018–2027. https://doi.org/10.1016/j.procs.2024.02.024
bibtex: '@article{Bathelt_Djakow_Henke_Trächtler_2024, title={Innovative measurement
system for saber curvature observation in straightening processes}, volume={232},
DOI={10.1016/j.procs.2024.02.024},
journal={Procedia Computer Science}, publisher={Elsevier BV}, author={Bathelt,
Lukas and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar}, year={2024},
pages={2018–2027} }'
chicago: 'Bathelt, Lukas, Eugen Djakow, Christian Henke, and Ansgar Trächtler. “Innovative
Measurement System for Saber Curvature Observation in Straightening Processes.”
Procedia Computer Science 232 (2024): 2018–27. https://doi.org/10.1016/j.procs.2024.02.024.'
ieee: 'L. Bathelt, E. Djakow, C. Henke, and A. Trächtler, “Innovative measurement
system for saber curvature observation in straightening processes,” Procedia
Computer Science, vol. 232, pp. 2018–2027, 2024, doi: 10.1016/j.procs.2024.02.024.'
mla: Bathelt, Lukas, et al. “Innovative Measurement System for Saber Curvature Observation
in Straightening Processes.” Procedia Computer Science, vol. 232, Elsevier
BV, 2024, pp. 2018–27, doi:10.1016/j.procs.2024.02.024.
short: L. Bathelt, E. Djakow, C. Henke, A. Trächtler, Procedia Computer Science
232 (2024) 2018–2027.
date_created: 2024-11-18T10:09:22Z
date_updated: 2024-11-18T10:38:39Z
department:
- _id: '153'
- _id: '241'
doi: 10.1016/j.procs.2024.02.024
intvolume: ' 232'
language:
- iso: eng
page: 2018-2027
publication: Procedia Computer Science
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Innovative measurement system for saber curvature observation in straightening
processes
type: journal_article
user_id: '41470'
volume: 232
year: '2024'
...
---
_id: '57185'
author:
- first_name: Fabian
full_name: Reiling, Fabian
last_name: Reiling
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Matthias
full_name: Hunstig, Matthias
last_name: Hunstig
- first_name: Stefan
full_name: Gröger, Stefan
last_name: Gröger
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Reiling F, Henke C, Hunstig M, Gröger S, Trächtler A. Batch constrained multi-objective
Bayesian optimization using the example of ultrasonic wire bonding. In: 2024
IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
IEEE; 2024. doi:10.1109/aim55361.2024.10637123'
apa: Reiling, F., Henke, C., Hunstig, M., Gröger, S., & Trächtler, A. (2024).
Batch constrained multi-objective Bayesian optimization using the example of ultrasonic
wire bonding. 2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM). https://doi.org/10.1109/aim55361.2024.10637123
bibtex: '@inproceedings{Reiling_Henke_Hunstig_Gröger_Trächtler_2024, title={Batch
constrained multi-objective Bayesian optimization using the example of ultrasonic
wire bonding}, DOI={10.1109/aim55361.2024.10637123},
booktitle={2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)}, publisher={IEEE}, author={Reiling, Fabian and Henke, Christian and Hunstig,
Matthias and Gröger, Stefan and Trächtler, Ansgar}, year={2024} }'
chicago: Reiling, Fabian, Christian Henke, Matthias Hunstig, Stefan Gröger, and
Ansgar Trächtler. “Batch Constrained Multi-Objective Bayesian Optimization Using
the Example of Ultrasonic Wire Bonding.” In 2024 IEEE International Conference
on Advanced Intelligent Mechatronics (AIM). IEEE, 2024. https://doi.org/10.1109/aim55361.2024.10637123.
ieee: 'F. Reiling, C. Henke, M. Hunstig, S. Gröger, and A. Trächtler, “Batch constrained
multi-objective Bayesian optimization using the example of ultrasonic wire bonding,”
2024, doi: 10.1109/aim55361.2024.10637123.'
mla: Reiling, Fabian, et al. “Batch Constrained Multi-Objective Bayesian Optimization
Using the Example of Ultrasonic Wire Bonding.” 2024 IEEE International Conference
on Advanced Intelligent Mechatronics (AIM), IEEE, 2024, doi:10.1109/aim55361.2024.10637123.
short: 'F. Reiling, C. Henke, M. Hunstig, S. Gröger, A. Trächtler, in: 2024 IEEE
International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 2024.'
date_created: 2024-11-18T10:18:18Z
date_updated: 2024-11-18T10:40:23Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/aim55361.2024.10637123
language:
- iso: eng
publication: 2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Batch constrained multi-objective Bayesian optimization using the example of
ultrasonic wire bonding
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57188'
author:
- first_name: Stephan
full_name: Stieren, Stephan
last_name: Stieren
- first_name: Achim
full_name: Werner, Achim
last_name: Werner
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Stieren S, Werner A, Henke C, Trächtler A. A comprehensive test infrastructure
for the evaluation of energy management systems of the household and grid level.
In: 2024 IEEE Conference on Technologies for Sustainability (SusTech).
IEEE; 2024. doi:10.1109/sustech60925.2024.10553455'
apa: Stieren, S., Werner, A., Henke, C., & Trächtler, A. (2024). A comprehensive
test infrastructure for the evaluation of energy management systems of the household
and grid level. 2024 IEEE Conference on Technologies for Sustainability (SusTech).
https://doi.org/10.1109/sustech60925.2024.10553455
bibtex: '@inproceedings{Stieren_Werner_Henke_Trächtler_2024, title={A comprehensive
test infrastructure for the evaluation of energy management systems of the household
and grid level}, DOI={10.1109/sustech60925.2024.10553455},
booktitle={2024 IEEE Conference on Technologies for Sustainability (SusTech)},
publisher={IEEE}, author={Stieren, Stephan and Werner, Achim and Henke, Christian
and Trächtler, Ansgar}, year={2024} }'
chicago: Stieren, Stephan, Achim Werner, Christian Henke, and Ansgar Trächtler.
“A Comprehensive Test Infrastructure for the Evaluation of Energy Management Systems
of the Household and Grid Level.” In 2024 IEEE Conference on Technologies for
Sustainability (SusTech). IEEE, 2024. https://doi.org/10.1109/sustech60925.2024.10553455.
ieee: 'S. Stieren, A. Werner, C. Henke, and A. Trächtler, “A comprehensive test
infrastructure for the evaluation of energy management systems of the household
and grid level,” 2024, doi: 10.1109/sustech60925.2024.10553455.'
mla: Stieren, Stephan, et al. “A Comprehensive Test Infrastructure for the Evaluation
of Energy Management Systems of the Household and Grid Level.” 2024 IEEE Conference
on Technologies for Sustainability (SusTech), IEEE, 2024, doi:10.1109/sustech60925.2024.10553455.
short: 'S. Stieren, A. Werner, C. Henke, A. Trächtler, in: 2024 IEEE Conference
on Technologies for Sustainability (SusTech), IEEE, 2024.'
date_created: 2024-11-18T10:21:54Z
date_updated: 2024-11-18T10:39:28Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/sustech60925.2024.10553455
language:
- iso: eng
publication: 2024 IEEE Conference on Technologies for Sustainability (SusTech)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: A comprehensive test infrastructure for the evaluation of energy management
systems of the household and grid level
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57187'
author:
- first_name: Stephan
full_name: Stieren, Stephan
last_name: Stieren
- first_name: Luca
full_name: Lenger, Luca
last_name: Lenger
- first_name: Moritz
full_name: Kliem, Moritz
last_name: Kliem
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Stieren S, Lenger L, Kliem M, Henke C, Trächtler A. Development of digital
business models for holistic energy management on device, home and grid level.
In: 2024 IEEE International Systems Conference (SysCon). IEEE; 2024. doi:10.1109/syscon61195.2024.10553440'
apa: Stieren, S., Lenger, L., Kliem, M., Henke, C., & Trächtler, A. (2024).
Development of digital business models for holistic energy management on device,
home and grid level. 2024 IEEE International Systems Conference (SysCon).
https://doi.org/10.1109/syscon61195.2024.10553440
bibtex: '@inproceedings{Stieren_Lenger_Kliem_Henke_Trächtler_2024, title={Development
of digital business models for holistic energy management on device, home and
grid level}, DOI={10.1109/syscon61195.2024.10553440},
booktitle={2024 IEEE International Systems Conference (SysCon)}, publisher={IEEE},
author={Stieren, Stephan and Lenger, Luca and Kliem, Moritz and Henke, Christian
and Trächtler, Ansgar}, year={2024} }'
chicago: Stieren, Stephan, Luca Lenger, Moritz Kliem, Christian Henke, and Ansgar
Trächtler. “Development of Digital Business Models for Holistic Energy Management
on Device, Home and Grid Level.” In 2024 IEEE International Systems Conference
(SysCon). IEEE, 2024. https://doi.org/10.1109/syscon61195.2024.10553440.
ieee: 'S. Stieren, L. Lenger, M. Kliem, C. Henke, and A. Trächtler, “Development
of digital business models for holistic energy management on device, home and
grid level,” 2024, doi: 10.1109/syscon61195.2024.10553440.'
mla: Stieren, Stephan, et al. “Development of Digital Business Models for Holistic
Energy Management on Device, Home and Grid Level.” 2024 IEEE International
Systems Conference (SysCon), IEEE, 2024, doi:10.1109/syscon61195.2024.10553440.
short: 'S. Stieren, L. Lenger, M. Kliem, C. Henke, A. Trächtler, in: 2024 IEEE International
Systems Conference (SysCon), IEEE, 2024.'
date_created: 2024-11-18T10:21:17Z
date_updated: 2024-11-18T10:39:56Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/syscon61195.2024.10553440
language:
- iso: eng
publication: 2024 IEEE International Systems Conference (SysCon)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Development of digital business models for holistic energy management on device,
home and grid level
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57184'
author:
- first_name: Yi Han
full_name: Poy, Yi Han
last_name: Poy
- first_name: Martin
full_name: Zarnack, Martin
last_name: Zarnack
- first_name: Mark
full_name: Henkenjohann, Mark
last_name: Henkenjohann
- first_name: Udo
full_name: Nolte, Udo
last_name: Nolte
citation:
ama: 'Poy YH, Zarnack M, Henkenjohann M, Nolte U. Aerodynamic Derivatives Identification
of a Fixed-Wing UAV using Flight Data. In: AIAA SCITECH 2024 Forum. American
Institute of Aeronautics and Astronautics; 2024. doi:10.2514/6.2024-0248'
apa: Poy, Y. H., Zarnack, M., Henkenjohann, M., & Nolte, U. (2024). Aerodynamic
Derivatives Identification of a Fixed-Wing UAV using Flight Data. AIAA SCITECH
2024 Forum. https://doi.org/10.2514/6.2024-0248
bibtex: '@inproceedings{Poy_Zarnack_Henkenjohann_Nolte_2024, title={Aerodynamic
Derivatives Identification of a Fixed-Wing UAV using Flight Data}, DOI={10.2514/6.2024-0248},
booktitle={AIAA SCITECH 2024 Forum}, publisher={American Institute of Aeronautics
and Astronautics}, author={Poy, Yi Han and Zarnack, Martin and Henkenjohann, Mark
and Nolte, Udo}, year={2024} }'
chicago: Poy, Yi Han, Martin Zarnack, Mark Henkenjohann, and Udo Nolte. “Aerodynamic
Derivatives Identification of a Fixed-Wing UAV Using Flight Data.” In AIAA
SCITECH 2024 Forum. American Institute of Aeronautics and Astronautics, 2024.
https://doi.org/10.2514/6.2024-0248.
ieee: 'Y. H. Poy, M. Zarnack, M. Henkenjohann, and U. Nolte, “Aerodynamic Derivatives
Identification of a Fixed-Wing UAV using Flight Data,” 2024, doi: 10.2514/6.2024-0248.'
mla: Poy, Yi Han, et al. “Aerodynamic Derivatives Identification of a Fixed-Wing
UAV Using Flight Data.” AIAA SCITECH 2024 Forum, American Institute of
Aeronautics and Astronautics, 2024, doi:10.2514/6.2024-0248.
short: 'Y.H. Poy, M. Zarnack, M. Henkenjohann, U. Nolte, in: AIAA SCITECH 2024 Forum,
American Institute of Aeronautics and Astronautics, 2024.'
date_created: 2024-11-18T10:17:33Z
date_updated: 2024-11-18T10:40:33Z
department:
- _id: '153'
- _id: '241'
doi: 10.2514/6.2024-0248
language:
- iso: eng
publication: AIAA SCITECH 2024 Forum
publication_status: published
publisher: American Institute of Aeronautics and Astronautics
quality_controlled: '1'
status: public
title: Aerodynamic Derivatives Identification of a Fixed-Wing UAV using Flight Data
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57186'
author:
- first_name: Robin
full_name: Schmidt, Robin
last_name: Schmidt
- first_name: Stefan
full_name: Schütz, Stefan
last_name: Schütz
- first_name: Sebastian
full_name: Prinz, Sebastian
last_name: Prinz
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Schmidt R, Schütz S, Prinz S, Henke C, Trächtler A. Optimizing Welding Efficiency:
A First Approach for an Automated Mobile Welding Robot. In: Proceedings of
the 4th IFSA Winter Conference on Automation, Robotics and Communications for
Industry 4.0/5.0 (ARCI 2024). ; 2024.'
apa: 'Schmidt, R., Schütz, S., Prinz, S., Henke, C., & Trächtler, A. (2024).
Optimizing Welding Efficiency: A First Approach for an Automated Mobile Welding
Robot. Proceedings of the 4th IFSA Winter Conference on Automation, Robotics
and Communications for Industry 4.0/5.0 (ARCI 2024).'
bibtex: '@inproceedings{Schmidt_Schütz_Prinz_Henke_Trächtler_2024, title={Optimizing
Welding Efficiency: A First Approach for an Automated Mobile Welding Robot}, booktitle={Proceedings
of the 4th IFSA Winter Conference on Automation, Robotics and Communications for
Industry 4.0/5.0 (ARCI 2024)}, author={Schmidt, Robin and Schütz, Stefan and Prinz,
Sebastian and Henke, Christian and Trächtler, Ansgar}, year={2024} }'
chicago: 'Schmidt, Robin, Stefan Schütz, Sebastian Prinz, Christian Henke, and Ansgar
Trächtler. “Optimizing Welding Efficiency: A First Approach for an Automated Mobile
Welding Robot.” In Proceedings of the 4th IFSA Winter Conference on Automation,
Robotics and Communications for Industry 4.0/5.0 (ARCI 2024), 2024.'
ieee: 'R. Schmidt, S. Schütz, S. Prinz, C. Henke, and A. Trächtler, “Optimizing
Welding Efficiency: A First Approach for an Automated Mobile Welding Robot,” 2024.'
mla: 'Schmidt, Robin, et al. “Optimizing Welding Efficiency: A First Approach for
an Automated Mobile Welding Robot.” Proceedings of the 4th IFSA Winter Conference
on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI 2024),
2024.'
short: 'R. Schmidt, S. Schütz, S. Prinz, C. Henke, A. Trächtler, in: Proceedings
of the 4th IFSA Winter Conference on Automation, Robotics and Communications for
Industry 4.0/5.0 (ARCI 2024), 2024.'
date_created: 2024-11-18T10:20:58Z
date_updated: 2024-11-18T10:40:13Z
department:
- _id: '153'
- _id: '241'
language:
- iso: eng
publication: Proceedings of the 4th IFSA Winter Conference on Automation, Robotics
and Communications for Industry 4.0/5.0 (ARCI 2024)
quality_controlled: '1'
status: public
title: 'Optimizing Welding Efficiency: A First Approach for an Automated Mobile Welding
Robot'
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57176'
abstract:
- lang: eng
text: Incremental nonlinear dynamic inversion (INDI) is a widely used approach to
controlling UAVs with highly nonlinear dynamics. One key element of INDI-based
controllers is the control allocation realizing pseudo controls using available
actuators. However, the tracking of commanded pseudo controls is not the only
objective considered during control allocation. Since the approach only works
locally due to linearization and the solution is often ambiguous, additional aspects
like control efforts or penalizing the deviation of certain states must be considered.
Conducting the control allocation by solving a quadratic program this results
in a considerable number of weighting parameters, which must be tuned during control
design. Currently, this is conducted manually and is therefore time consuming.
An automated approach for tuning these parameters is therefore highly beneficial.
Thus, this paper presents and evaluates a model-based approach automatically tuning
the control allocation parameters of a tiltrotor VTOL using an optimization algorithm.
This optimization algorithm searches for optimal parameters minimizing a cost
functional that reflects the design target. This cost functional is calculated
based on a test mission for the VTOL which is conducted within a simulation environment.
The test mission represents the common operating range of the VTOL. The simulation
environment consists of an aircraft model as well as a model of the INDI-based
controller which is dependent on the control allocation parameters. On this basis,
model-based optimization is conducted and the optimal parameters are identified.
Finally, successful real-world tests on a 4-degrees-of-freedom testbench using
the identified parameters are presented. Since the control allocation parameters
can significantly influence the aircraft’s stability, the 4-DOF testbench for
the aircraft is required for rapid validation of the parameters at a minimum amount
of risk.
article_number: '187'
author:
- first_name: Mark
full_name: Henkenjohann, Mark
last_name: Henkenjohann
- first_name: Udo
full_name: Nolte, Udo
last_name: Nolte
- first_name: Fabian
full_name: Sion, Fabian
last_name: Sion
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Henkenjohann M, Nolte U, Sion F, Henke C, Trächtler A. Parameter Tuning Approach
for Incremental Nonlinear Dynamic Inversion-Based Flight Controllers. Actuators.
2024;13(5). doi:10.3390/act13050187
apa: Henkenjohann, M., Nolte, U., Sion, F., Henke, C., & Trächtler, A. (2024).
Parameter Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based Flight
Controllers. Actuators, 13(5), Article 187. https://doi.org/10.3390/act13050187
bibtex: '@article{Henkenjohann_Nolte_Sion_Henke_Trächtler_2024, title={Parameter
Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based Flight Controllers},
volume={13}, DOI={10.3390/act13050187},
number={5187}, journal={Actuators}, publisher={MDPI AG}, author={Henkenjohann,
Mark and Nolte, Udo and Sion, Fabian and Henke, Christian and Trächtler, Ansgar},
year={2024} }'
chicago: Henkenjohann, Mark, Udo Nolte, Fabian Sion, Christian Henke, and Ansgar
Trächtler. “Parameter Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based
Flight Controllers.” Actuators 13, no. 5 (2024). https://doi.org/10.3390/act13050187.
ieee: 'M. Henkenjohann, U. Nolte, F. Sion, C. Henke, and A. Trächtler, “Parameter
Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based Flight Controllers,”
Actuators, vol. 13, no. 5, Art. no. 187, 2024, doi: 10.3390/act13050187.'
mla: Henkenjohann, Mark, et al. “Parameter Tuning Approach for Incremental Nonlinear
Dynamic Inversion-Based Flight Controllers.” Actuators, vol. 13, no. 5,
187, MDPI AG, 2024, doi:10.3390/act13050187.
short: M. Henkenjohann, U. Nolte, F. Sion, C. Henke, A. Trächtler, Actuators 13
(2024).
date_created: 2024-11-18T10:09:58Z
date_updated: 2024-11-18T10:42:19Z
department:
- _id: '153'
- _id: '241'
doi: 10.3390/act13050187
intvolume: ' 13'
issue: '5'
language:
- iso: eng
publication: Actuators
publication_identifier:
issn:
- 2076-0825
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Parameter Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based
Flight Controllers
type: journal_article
user_id: '41470'
volume: 13
year: '2024'
...
---
_id: '57173'
abstract:
- lang: eng
text: Manufacturing processes benefit from property control enabling reproducibility,
application oriented outcomes, and efficient part production. In reverse flow
forming, state of the art practices focus primarily on geometry control, neglecting
property control. Given the intricacies of the process involving the interaction
of tool and machine behavior, process parameters, properties of semi finished
products and temperatures, incorporating process control becomes an imperative
for producing components with predefined properties. The property controlled within
this reverse flow forming process is the local α’ martensite content. Therefore,
process strategies to actively influence the α’ martensite content must be implemented.
In this study seamless AISI 304L steel tubes are used, where α’ martensite formation
is strain and/or temperature induced through phase transformation within the
process. This paper presents innovative process strategies, methods, and specially
developed mechanical and thermal actuator systems to locally increase or suppress
the α’ martensite content. The use and implementation of these approaches and
tools allows the creation of unique optically invisible microstructure profiles
containing 3D gradings, implying a radial grading of α’ martensite. The locally
implemented α’ martensite, forming these 3D gradings, offers potential applications
for functional or sensory purposes. This paper extends beyond theoretical concepts,
providing tangible component outcomes.
author:
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Arian B, Homberg W, Kersting L, Trächtler A, Rozo Vasquez J, Walther F. α’-martensite
grading techniques in reverse flow forming of AISI 304L. In: Materials Research
Proceedings. Vol 44. Materials Research Forum LLC; 2024. doi:10.21741/9781644903254-76'
apa: Arian, B., Homberg, W., Kersting, L., Trächtler, A., Rozo Vasquez, J., &
Walther, F. (2024). α’-martensite grading techniques in reverse flow forming of
AISI 304L. Materials Research Proceedings, 44. https://doi.org/10.21741/9781644903254-76
bibtex: '@inproceedings{Arian_Homberg_Kersting_Trächtler_Rozo Vasquez_Walther_2024,
title={α’-martensite grading techniques in reverse flow forming of AISI 304L},
volume={44}, DOI={10.21741/9781644903254-76},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler,
Ansgar and Rozo Vasquez, Julian and Walther, Frank}, year={2024} }'
chicago: Arian, Bahman, Werner Homberg, Lukas Kersting, Ansgar Trächtler, Julian
Rozo Vasquez, and Frank Walther. “α’-Martensite Grading Techniques in Reverse
Flow Forming of AISI 304L.” In Materials Research Proceedings, Vol. 44.
Materials Research Forum LLC, 2024. https://doi.org/10.21741/9781644903254-76.
ieee: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, and F.
Walther, “α’-martensite grading techniques in reverse flow forming of AISI 304L,”
in Materials Research Proceedings, 2024, vol. 44, doi: 10.21741/9781644903254-76.'
mla: Arian, Bahman, et al. “α’-Martensite Grading Techniques in Reverse Flow Forming
of AISI 304L.” Materials Research Proceedings, vol. 44, Materials Research
Forum LLC, 2024, doi:10.21741/9781644903254-76.
short: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, F. Walther,
in: Materials Research Proceedings, Materials Research Forum LLC, 2024.'
date_created: 2024-11-18T10:06:17Z
date_updated: 2024-11-18T10:42:55Z
department:
- _id: '241'
- _id: '153'
- _id: '156'
doi: 10.21741/9781644903254-76
intvolume: ' 44'
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: α’-martensite grading techniques in reverse flow forming of AISI 304L
type: conference
user_id: '41470'
volume: 44
year: '2024'
...