---
_id: '58492'
abstract:
- lang: eng
text: A coupled finite plasticity ductile damage and failure model is proposed for
the finite element simulation of clinch joining, which incorporates stress-state
dependency and regularisation by gradient-enhancement of the damage variable.
Ductile damage is determined based on a failure indicator governed by a failure
surface in stress space. The latter is exemplary chosen as a combination of the
Hosford–Coulomb and Cockcroft–Latham–Oh failure criteria for the high and low
stress triaxiality range, respectively, to cover the wide stress range encountered
in forming. Damage is coupled to elasto-plasticity to capture the damage-induced
degradation of the stiffness and flow stress. This affects the material behaviour
up to failure, thereby realistically altering the stress state. Consequently,
especially for highly ductile materials, where substantial necking and localisation
precede material fracture, the failure prediction is enhanced. The resulting stress
softening is regularised by gradient-enhancement to obtain mesh-objective results.
The analysis of a modified punch test experiment emphasises how the damage-induced
softening effect can strongly alter the actual stress state towards failure. Moreover,
the impact of successful regularisation is shown, and the applicability of the
damage and failure model to clinch joining is proven.
article_number: '106026'
article_type: original
author:
- first_name: Johannes
full_name: Friedlein, Johannes
last_name: Friedlein
- first_name: Julia
full_name: Mergheim, Julia
last_name: Mergheim
- first_name: Paul
full_name: Steinmann, Paul
last_name: Steinmann
citation:
ama: Friedlein J, Mergheim J, Steinmann P. Modelling of stress-state-dependent ductile
damage with gradient-enhancement exemplified for clinch joining. Journal of
the Mechanics and Physics of Solids. 2025;196. doi:10.1016/j.jmps.2025.106026
apa: Friedlein, J., Mergheim, J., & Steinmann, P. (2025). Modelling of stress-state-dependent
ductile damage with gradient-enhancement exemplified for clinch joining. Journal
of the Mechanics and Physics of Solids, 196, Article 106026. https://doi.org/10.1016/j.jmps.2025.106026
bibtex: '@article{Friedlein_Mergheim_Steinmann_2025, title={Modelling of stress-state-dependent
ductile damage with gradient-enhancement exemplified for clinch joining}, volume={196},
DOI={10.1016/j.jmps.2025.106026},
number={106026}, journal={Journal of the Mechanics and Physics of Solids}, publisher={Elsevier
BV}, author={Friedlein, Johannes and Mergheim, Julia and Steinmann, Paul}, year={2025}
}'
chicago: Friedlein, Johannes, Julia Mergheim, and Paul Steinmann. “Modelling of
Stress-State-Dependent Ductile Damage with Gradient-Enhancement Exemplified for
Clinch Joining.” Journal of the Mechanics and Physics of Solids 196 (2025).
https://doi.org/10.1016/j.jmps.2025.106026.
ieee: 'J. Friedlein, J. Mergheim, and P. Steinmann, “Modelling of stress-state-dependent
ductile damage with gradient-enhancement exemplified for clinch joining,” Journal
of the Mechanics and Physics of Solids, vol. 196, Art. no. 106026, 2025, doi:
10.1016/j.jmps.2025.106026.'
mla: Friedlein, Johannes, et al. “Modelling of Stress-State-Dependent Ductile Damage
with Gradient-Enhancement Exemplified for Clinch Joining.” Journal of the Mechanics
and Physics of Solids, vol. 196, 106026, Elsevier BV, 2025, doi:10.1016/j.jmps.2025.106026.
short: J. Friedlein, J. Mergheim, P. Steinmann, Journal of the Mechanics and Physics
of Solids 196 (2025).
date_created: 2025-01-31T17:04:12Z
date_updated: 2025-01-31T17:06:22Z
doi: 10.1016/j.jmps.2025.106026
intvolume: ' 196'
keyword:
- Finite plasticity
- Ductile damage
- Gradient-enhancement
- Stress-state dependency
- Failure
language:
- iso: eng
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen
Prozessketten'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '139'
name: 'TRR 285 – A05: TRR 285 - Subproject A05'
publication: Journal of the Mechanics and Physics of Solids
publication_identifier:
issn:
- 0022-5096
publication_status: published
publisher: Elsevier BV
status: public
title: Modelling of stress-state-dependent ductile damage with gradient-enhancement
exemplified for clinch joining
type: journal_article
user_id: '84990'
volume: 196
year: '2025'
...
---
_id: '62080'
abstract:
- lang: eng
text: The failure behavior of fiber reinforced polymers (FRP) is strongly influenced
by their microstructure, i.e. fiber arrangement or local fiber volume content.
However, this information cannot be directly used for structural analyses, since
it requires a discretization on micrometer level. Therefore, current failure theories
do not directly account for such effects, but describe the behavior averaged over
an entire specimen. This foundation in experimentally accessible loading conditions
leads to purely theory based extension to more complex stress states without direct
validation possibilities. This work aims at leveraging micro-scale simulations
to obtain failure information under arbitrary loading conditions. The results
are propagated to the meso-scale, enabling efficient structural analyses, by means
of machine learning (ML). It is shown that the ML model is capable of correctly
assessing previously unseen stress states and therefore poses an efficient tool
of exploiting information from the micro-scale in larger simulations.
author:
- first_name: Johannes
full_name: Gerritzen, Johannes
id: '105344'
last_name: Gerritzen
orcid: 0000-0002-0169-8602
- first_name: Andreas
full_name: Hornig, Andreas
last_name: Hornig
- first_name: Maik
full_name: Gude, Maik
last_name: Gude
citation:
ama: 'Gerritzen J, Hornig A, Gude M. Efficient failure information propagation under
complex stress states in fiber reinforced polymers: From micro- to meso-scale
using machine learning. In: Meschut G, Bobbert M, Duflou J, et al., eds. Sheet
Metal 2025. Materials Research Proceedings. Materials Research Forum LLC,
Materials Research Foundations; 2025:260–267. doi:10.21741/9781644903551-32'
apa: 'Gerritzen, J., Hornig, A., & Gude, M. (2025). Efficient failure information
propagation under complex stress states in fiber reinforced polymers: From micro-
to meso-scale using machine learning. In G. Meschut, M. Bobbert, J. Duflou, L.
Fratini, H. Hagenah, P. Martins, M. Merklein, & F. Micari (Eds.), Sheet
Metal 2025 (pp. 260–267). Materials Research Forum LLC, Materials Research
Foundations. https://doi.org/10.21741/9781644903551-32'
bibtex: '@inproceedings{Gerritzen_Hornig_Gude_2025, series={Materials Research Proceedings},
title={Efficient failure information propagation under complex stress states in
fiber reinforced polymers: From micro- to meso-scale using machine learning},
DOI={10.21741/9781644903551-32},
booktitle={Sheet Metal 2025}, publisher={Materials Research Forum LLC, Materials
Research Foundations}, author={Gerritzen, Johannes and Hornig, Andreas and Gude,
Maik}, editor={Meschut, G. and Bobbert, M. and Duflou, J. and Fratini, L. and
Hagenah, H. and Martins, P. and Merklein, M. and Micari, F.}, year={2025}, pages={260–267},
collection={Materials Research Proceedings} }'
chicago: 'Gerritzen, Johannes, Andreas Hornig, and Maik Gude. “Efficient Failure
Information Propagation under Complex Stress States in Fiber Reinforced Polymers:
From Micro- to Meso-Scale Using Machine Learning.” In Sheet Metal 2025,
edited by G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins,
M. Merklein, and F. Micari, 260–267. Materials Research Proceedings. Materials
Research Forum LLC, Materials Research Foundations, 2025. https://doi.org/10.21741/9781644903551-32.'
ieee: 'J. Gerritzen, A. Hornig, and M. Gude, “Efficient failure information propagation
under complex stress states in fiber reinforced polymers: From micro- to meso-scale
using machine learning,” in Sheet Metal 2025, 2025, pp. 260–267, doi: 10.21741/9781644903551-32.'
mla: 'Gerritzen, Johannes, et al. “Efficient Failure Information Propagation under
Complex Stress States in Fiber Reinforced Polymers: From Micro- to Meso-Scale
Using Machine Learning.” Sheet Metal 2025, edited by G. Meschut et al.,
Materials Research Forum LLC, Materials Research Foundations, 2025, pp. 260–267,
doi:10.21741/9781644903551-32.'
short: 'J. Gerritzen, A. Hornig, M. Gude, in: G. Meschut, M. Bobbert, J. Duflou,
L. Fratini, H. Hagenah, P. Martins, M. Merklein, F. Micari (Eds.), Sheet Metal
2025, Materials Research Forum LLC, Materials Research Foundations, 2025, pp.
260–267.'
date_created: 2025-11-04T12:48:37Z
date_updated: 2026-02-27T06:43:37Z
doi: 10.21741/9781644903551-32
editor:
- first_name: G.
full_name: Meschut, G.
last_name: Meschut
- first_name: M.
full_name: Bobbert, M.
last_name: Bobbert
- first_name: J.
full_name: Duflou, J.
last_name: Duflou
- first_name: L.
full_name: Fratini, L.
last_name: Fratini
- first_name: H.
full_name: Hagenah, H.
last_name: Hagenah
- first_name: P.
full_name: Martins, P.
last_name: Martins
- first_name: M.
full_name: Merklein, M.
last_name: Merklein
- first_name: F.
full_name: Micari, F.
last_name: Micari
keyword:
- Failure
- Fiber Reinforced Plastic
- Machine Learning
language:
- iso: eng
page: 260–267
project:
- _id: '130'
name: 'TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen
Prozessketten'
- _id: '137'
name: TRR 285 - Subproject A03
- _id: '131'
name: TRR 285 - Project Area A
publication: Sheet Metal 2025
publication_identifier:
isbn:
- 978-1-64490-354-4
publisher: Materials Research Forum LLC, Materials Research Foundations
series_title: Materials Research Proceedings
status: public
title: 'Efficient failure information propagation under complex stress states in fiber
reinforced polymers: From micro- to meso-scale using machine learning'
type: conference
user_id: '105344'
year: '2025'
...
---
_id: '58491'
abstract:
- lang: eng
text: Similar to bulk metal forming, clinch joining is characterised by
large plastic deformations and a variety of different 3D stress states, including
severe compression. However, inherent to plastic forming is the nucleation and
growth of defects, whose detrimental effects on the material behaviour can be
described by continuum damage models and eventually lead to material failure.
As the damage evolution strongly depends on the stress state, a stress-state-dependent
model is utilised to correctly track the accumulation. To formulate and parameterise
this model, besides classical experiments, so-called modified punch tests are
also integrated herein to enhance the calibration of the failure model by capturing
a larger range of stress states and metal-forming-specific loading conditions.
Moreover, when highly ductile materials are considered, such as the dual-phase
steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong
necking and localisation might occur prior to fracture. This can alter the stress
state and affect the actual strain at failure. This influence is captured by coupling
plasticity and damage to incorporate the damage-induced softening effect. Its
relative importance is shown by conducting inverse parameter identifications to
determine damage and failure parameters for both mentioned ductile metals based
on up to 12 different experiments.
article_number: '157'
author:
- first_name: Johannes
full_name: Friedlein, Johannes
last_name: Friedlein
- first_name: Max
full_name: Böhnke, Max
last_name: Böhnke
- first_name: Malte
full_name: Schlichter, Malte
last_name: Schlichter
- first_name: Mathias
full_name: Bobbert, Mathias
last_name: Bobbert
- first_name: Gerson
full_name: Meschut, Gerson
last_name: Meschut
- first_name: Julia
full_name: Mergheim, Julia
last_name: Mergheim
- first_name: Paul
full_name: Steinmann, Paul
last_name: Steinmann
citation:
ama: Friedlein J, Böhnke M, Schlichter M, et al. Material Parameter Identification
for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch
Joining. Journal of Manufacturing and Materials Processing. 2024;8(4).
doi:10.3390/jmmp8040157
apa: Friedlein, J., Böhnke, M., Schlichter, M., Bobbert, M., Meschut, G., Mergheim,
J., & Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent
Ductile Damage and Failure Model Applied to Clinch Joining. Journal of Manufacturing
and Materials Processing, 8(4), Article 157. https://doi.org/10.3390/jmmp8040157
bibtex: '@article{Friedlein_Böhnke_Schlichter_Bobbert_Meschut_Mergheim_Steinmann_2024,
title={Material Parameter Identification for a Stress-State-Dependent Ductile
Damage and Failure Model Applied to Clinch Joining}, volume={8}, DOI={10.3390/jmmp8040157},
number={4157}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI
AG}, author={Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert,
Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}, year={2024}
}'
chicago: Friedlein, Johannes, Max Böhnke, Malte Schlichter, Mathias Bobbert, Gerson
Meschut, Julia Mergheim, and Paul Steinmann. “Material Parameter Identification
for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch
Joining.” Journal of Manufacturing and Materials Processing 8, no. 4 (2024).
https://doi.org/10.3390/jmmp8040157.
ieee: 'J. Friedlein et al., “Material Parameter Identification for a Stress-State-Dependent
Ductile Damage and Failure Model Applied to Clinch Joining,” Journal of Manufacturing
and Materials Processing, vol. 8, no. 4, Art. no. 157, 2024, doi: 10.3390/jmmp8040157.'
mla: Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent
Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing
and Materials Processing, vol. 8, no. 4, 157, MDPI AG, 2024, doi:10.3390/jmmp8040157.
short: J. Friedlein, M. Böhnke, M. Schlichter, M. Bobbert, G. Meschut, J. Mergheim,
P. Steinmann, Journal of Manufacturing and Materials Processing 8 (2024).
date_created: 2025-01-31T16:59:13Z
date_updated: 2025-01-31T17:03:34Z
doi: 10.3390/jmmp8040157
intvolume: ' 8'
issue: '4'
keyword:
- ductile damage
- stress-state dependency
- failure
- parameter identification
- punch test
- clinching
language:
- iso: eng
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen
Prozessketten'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '139'
name: 'TRR 285 – A05: TRR 285 - Subproject A05'
publication: Journal of Manufacturing and Materials Processing
publication_identifier:
issn:
- 2504-4494
publication_status: published
publisher: MDPI AG
status: public
title: Material Parameter Identification for a Stress-State-Dependent Ductile Damage
and Failure Model Applied to Clinch Joining
type: journal_article
user_id: '84990'
volume: 8
year: '2024'
...
---
_id: '33991'
abstract:
- lang: eng
text: In the course of digitalization, digital platforms are unleashing their full
disruptive potential and are already dominating the first industries (e.g., hotel
industry). As a result of this success, more and more companies want to build
their own platforms and participate in the success. However, building and operating
a digital platform involves multiple challenges and most of such ambitions fail.
Since most digital platforms fail, strategic leadership of digital platforms must
consider both success factors and reasons for platform failure. For this purpose,
we conducted a systematic literature analysis and identified 24 success as well
as failure factors in 9 dimensions. From a scientific perspective, the article
provides a structured analysis of success and failure factors of digital platforms,
which previously did not exist in literature. Practitioners can use the resulting
knowledge base to successfully manage platform activities and avoid pitfalls.
author:
- first_name: Leon
full_name: Özcan, Leon
id: '45137'
last_name: Özcan
- first_name: Christian
full_name: Koldewey, Christian
last_name: Koldewey
- first_name: Estelle
full_name: Duparc, Estelle
last_name: Duparc
- first_name: Hendrik
full_name: van der Valk, Hendrik
last_name: van der Valk
- first_name: Boris
full_name: Otto, Boris
last_name: Otto
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: 'Özcan L, Koldewey C, Duparc E, van der Valk H, Otto B, Dumitrescu R. Why do
Digital Platforms succeed or fail? - A Literature Review on Success and Failure
Factors. In: ; 2022.'
apa: Özcan, L., Koldewey, C., Duparc, E., van der Valk, H., Otto, B., & Dumitrescu,
R. (2022). Why do Digital Platforms succeed or fail? - A Literature Review
on Success and Failure Factors. 28th Americas Conference on Information Systems
(AMCIS), Minneapolis.
bibtex: '@inproceedings{Özcan_Koldewey_Duparc_van der Valk_Otto_Dumitrescu_2022,
title={Why do Digital Platforms succeed or fail? - A Literature Review on Success
and Failure Factors}, author={Özcan, Leon and Koldewey, Christian and Duparc,
Estelle and van der Valk, Hendrik and Otto, Boris and Dumitrescu, Roman}, year={2022}
}'
chicago: Özcan, Leon, Christian Koldewey, Estelle Duparc, Hendrik van der Valk,
Boris Otto, and Roman Dumitrescu. “Why Do Digital Platforms Succeed or Fail? -
A Literature Review on Success and Failure Factors,” 2022.
ieee: L. Özcan, C. Koldewey, E. Duparc, H. van der Valk, B. Otto, and R. Dumitrescu,
“Why do Digital Platforms succeed or fail? - A Literature Review on Success and
Failure Factors,” presented at the 28th Americas Conference on Information Systems
(AMCIS), Minneapolis, 2022.
mla: Özcan, Leon, et al. Why Do Digital Platforms Succeed or Fail? - A Literature
Review on Success and Failure Factors. 2022.
short: 'L. Özcan, C. Koldewey, E. Duparc, H. van der Valk, B. Otto, R. Dumitrescu,
in: 2022.'
conference:
location: Minneapolis
name: 28th Americas Conference on Information Systems (AMCIS)
date_created: 2022-11-03T23:11:13Z
date_updated: 2022-11-03T23:14:33Z
ddc:
- '600'
department:
- _id: '563'
file:
- access_level: closed
content_type: application/pdf
creator: loezcan
date_created: 2022-11-03T23:07:27Z
date_updated: 2022-11-03T23:07:27Z
file_id: '33993'
file_name: '[ÖKD+22]_Why do Digital Platforms succeed or fail - A Literature Review
on Success and Failure Factors.pdf'
file_size: 301409
relation: main_file
success: 1
file_date_updated: 2022-11-03T23:07:27Z
has_accepted_license: '1'
keyword:
- Digital Platform
- Multi-sided Market
- Two-sided Market
- Success Factor
- Failure Factor
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/amcis2022/sig_dite/sig_dite/15/
status: public
title: Why do Digital Platforms succeed or fail? - A Literature Review on Success
and Failure Factors
type: conference
user_id: '45137'
year: '2022'
...
---
_id: '27652'
abstract:
- lang: ger
text: "Aufgrund der Fortschritte der Digitalisierung finden Systeme zur Zustandsüberwachung
vermehrt Einsatz in der Industrie, um durch eine zustandsbasierte oder eine prädiktive
Instandhaltung Vorteile, wie eine verbesserte Zuverlässigkeit und geringere Kosten
zu erzielen. Dabei beruhen Zustandsüberwachungssysteme auf den folgenden Bausteinen:
Sensorik, Datenvorverarbeitung, Merkmalsextraktion und -auswahl, Diagnose bzw.
Prognose sowie einer Entscheidungsfindung basierend auf den Ergebnissen. Jeder
dieser Bausteine erfordert individuelle Einstellungen, um ein geeignetes Zustandsüberwachungssystem
für die jeweilige Anwendung zu entwickeln. Eine offene Fragestellung im Bereich
der Zustandsüberwachung ergibt sich aufgrund der Unsicherheit der Zukunft, die
sich in den zukünftigen Betriebs- und Umgebungsbedingungen zeigt. Diese Unsicherheit
gilt es in allen Bausteinen zu berücksichtigen.\r\nDieser Beitrag konzentriert
sich auf den Baustein Merkmalsextraktion und -selektion, mit dem Ziel anhand geeigneter
Merkmale eine Prognose der nutzbaren Restlebensdauer mit hoher Genauigkeit realisieren
zu können. Daher werden geeignete Merkmale aus dem Zeitbereich und daraus abgeleitete
Zustandsindikatoren für die Restlebensdauerprognose von technischen Systemen vorgestellt.
Dabei sind Zustandsindikatoren Kenngrößen zur Beobachtung des Zustands der kritischen
Systemkomponenten. Anhand dreier Anwendungsbeispiele wird ihre Eignung evaluiert.
Dabei werden Daten aus Lebensdauerversuchen unter instationären Betriebs- und
Umgebungsbedingungen ausgewertet. Die auftretenden Unsicherheiten der Zukunft
werden somit berücksichtigt. Die Beispielsysteme beruhen auf Gummi-Metall-Elementen
und Wälzlagern. Aus den generierten Ergebnissen lässt sich schließen, dass die
Zustandsindikatoren aus der betrachteten Zeitreihen-Toolbox auch unter unbekannten
Betriebs- und Umgebungsbedingungen robust sind.\r\n"
- lang: eng
text: "Due to the advances in digitalization, condition monitoring systems have
found numerous applications in the industry due to benefits such as improved reliability
and lowered costs through condition-based or predictive maintenance. Condition
monitoring systems typically involve elements, such as data acquisition via suitable
sensors, data preprocessing, feature extraction and selection, diagnostics, prognostics
and (maintenance) decisions based on diagnosis or prognosis. For the application-specific
development of a suitable condition monitoring system, each of these elements
requires individual settings. Due to the uncertainty of the future, an open question
arises in the condition monitoring field, which is reflected in unknown future
operating and environmental conditions. This uncertainty needs consideration in
all elements of a condition monitoring system.\r\nThis article focuses on feature
extraction and selection, building on the hypothesis that the remaining useful
life of a technical system can be predicted with high accuracy utilizing suitable
features. In this article, health indicators derived from time-domain features
that permit the monitoring of the health of critical system components are presented
for predicting the remaining useful life of technical systems. Three distinct
application examples based on rubber-metal elements and rolling-element bearings
are evaluated to validate the suitability of the presented methods. Experimental
data from accelerated lifetime tests conducted under non-stationary operating
and environmental conditions are considered to take possible future uncertainties
into account. It can be concluded from the acquired results that health indicators
derived from the presented time series toolbox are robust to varying operating
and environmental conditions.\r\n"
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Bender A, Sextro W. Extraktion und Selektion geeigneter Merkmale
für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten
. In: VDI-Berichte 2391. VDI Verlag GmbH; 2021:197-210.'
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2021). Extraktion und Selektion
geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz
aleatorischen Unsicherheiten . VDI-Berichte 2391, 197–210.
bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro_2021, place={Düsseldorf}, title={Extraktion
und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen
Systemen trotz aleatorischen Unsicherheiten }, booktitle={VDI-Berichte 2391},
publisher={VDI Verlag GmbH}, author={Aimiyekagbon, Osarenren Kennedy and Bender,
Amelie and Sextro, Walter}, year={2021}, pages={197–210} }'
chicago: 'Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Extraktion
und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen
Systemen trotz aleatorischen Unsicherheiten .” In VDI-Berichte 2391, 197–210.
Düsseldorf: VDI Verlag GmbH, 2021.'
ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter
Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen
Unsicherheiten ,” in VDI-Berichte 2391, Würzburg, 2021, pp. 197–210.
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Extraktion und Selektion geeigneter
Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen
Unsicherheiten .” VDI-Berichte 2391, VDI Verlag GmbH, 2021, pp. 197–210.
short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: VDI-Berichte 2391, VDI Verlag
GmbH, Düsseldorf, 2021, pp. 197–210.'
conference:
end_date: 2021-11-17
location: Würzburg
name: '3. VDI-Fachtagung '
start_date: 2021-11-16
date_created: 2021-11-22T07:42:44Z
date_updated: 2022-01-06T06:57:43Z
department:
- _id: '151'
keyword:
- run-to-failure
- rubber-metal element
- bearing prognostics
- non-stationary operating conditions
- varying operating conditions
- feature extraction
- feature selection
language:
- iso: ger
page: 197 - 210
place: Düsseldorf
publication: VDI-Berichte 2391
publication_identifier:
isbn:
- 978-3-18-092391-8
issn:
- '0083-5560 '
publication_status: published
publisher: VDI Verlag GmbH
status: public
title: 'Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose
von technischen Systemen trotz aleatorischen Unsicherheiten '
type: conference
user_id: '9557'
year: '2021'
...
---
_id: '22507'
abstract:
- lang: eng
text: Several methods, including order analysis, wavelet analysis and empirical
mode decomposition have been proposed and successfully employed for the health
state estimation of technical systems operating under varying conditions. However,
where information such as the speed of rotating machinery, component specifications
or other domain-specific information is unavailable, such methods are often infeasible.
Thus, this paper investigates the application of classical time-domain features,
features from the medical field and novel features from the highly comparative
time-series analysis (HCTSA) package, for the health state estimation of rotating
machinery operating under varying conditions. Furthermore, several feature selection
methods are investigated to identify features as viable health indicators for
the diagnostics and prognostics of technical systems. As a case study, the presented
methods are evaluated on real-world and experimentally acquired vibration data
of bearings operating under varying speed. The results show that the selected
features can successfully be employed as health indicators for technical systems
operating under varying conditions.
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features
as health indicators for technical systems operating under varying conditions.
In: Proceedings of the Seventeenth International Conference on Condition Monitoring
and Asset Management (CM 2021).'
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (n.d.). On the applicability
of time series features as health indicators for technical systems operating under
varying conditions. Proceedings of the Seventeenth International Conference
on Condition Monitoring and Asset Management (CM 2021). Seventeenth International
Conference on Condition Monitoring and Asset Management (CM 2021).
bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro, title={On the applicability
of time series features as health indicators for technical systems operating under
varying conditions}, booktitle={Proceedings of the Seventeenth International Conference
on Condition Monitoring and Asset Management (CM 2021)}, author={Aimiyekagbon,
Osarenren Kennedy and Bender, Amelie and Sextro, Walter} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “On
the Applicability of Time Series Features as Health Indicators for Technical Systems
Operating under Varying Conditions.” In Proceedings of the Seventeenth International
Conference on Condition Monitoring and Asset Management (CM 2021), n.d.
ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time
series features as health indicators for technical systems operating under varying
conditions,” presented at the Seventeenth International Conference on Condition
Monitoring and Asset Management (CM 2021).
mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series
Features as Health Indicators for Technical Systems Operating under Varying Conditions.”
Proceedings of the Seventeenth International Conference on Condition Monitoring
and Asset Management (CM 2021).
short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: Proceedings of the Seventeenth
International Conference on Condition Monitoring and Asset Management (CM 2021),
n.d.'
conference:
end_date: 2021-06-18
name: Seventeenth International Conference on Condition Monitoring and Asset Management
(CM 2021)
start_date: 2021-06-14
date_created: 2021-06-23T05:24:39Z
date_updated: 2023-09-22T08:10:34Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: kennedy
date_created: 2021-06-23T06:43:44Z
date_updated: 2021-06-23T06:50:07Z
description: 'This is a post-print version of the article presented at the Seventeenth
International Con-ference on Condition Monitoring and Asset Management (CM 2021).
The event websiteis available at: https://www.bindt.org/events/CM-2021/ and the
abstract is available at:https://www.bindt.org/events/CM-2021/abstract-9a7/.'
file_id: '22508'
file_name: Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf
file_size: 1875572
relation: main_file
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
file_date_updated: 2021-06-23T06:50:07Z
has_accepted_license: '1'
keyword:
- Wind turbine diagnostics
- bearing diagnostics
- non-stationary operating conditions
- varying operating conditions
- feature extraction
- feature selection
- fault detection
- failure detection
language:
- iso: eng
oa: '1'
publication: Proceedings of the Seventeenth International Conference on Condition
Monitoring and Asset Management (CM 2021)
publication_status: inpress
quality_controlled: '1'
status: public
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
type: conference
user_id: '9557'
year: '2021'
...
---
_id: '23431'
abstract:
- lang: eng
text: As an effective and accurate method for modelling composite materials, mean-field
homogenization is still not well studied in modelling non-linear and damage behaviours
of UD composites. Investigated micro FE-simulations show that the matrix of UD
composites exhibits different average plastic behaviour, named as average asymmetric
matrix plasticity (AAMP), when the composite behaves different under shear, longitudinal
and transverse loadings. In this study, a non-linear mean-field debonding model
(NMFDM) combining a mean-field model and a fibre–matrix interface debonding model,
is developed to simulate UD composites under consideration of AAMP, fibre–matrix
interface damage and progressive failure. AAMP is considered by using so-called
stress mode factor, which is expressed in terms of basic invariants of the matrix
deviatoric stress tensor and is used as an indicator for detection of differences
in the loading mode. The material behaviour of UD composites with imperfect interface
is assumed identical as for perfect interface and stiffness reduced fibres. Progressive
failure criteria are established with consideration of fibre breakage and matrix
crack for different fibre orientations. As a representative example for the NMFDM,
a C30/E201 UD composite is studied. To verify the model, experiments are conducted
on polymers, carbon fibres and UD CFRPs. Finally, the model is applied to simulate
a perforated CFRP laminate, which shows excellent prediction ability on deformation,
debonding and progressive failure.
article_number: '109209'
author:
- first_name: C.
full_name: Cheng, C.
last_name: Cheng
- first_name: Z.
full_name: Wang, Z.
last_name: Wang
- first_name: Z.
full_name: Jin, Z.
last_name: Jin
- first_name: X.
full_name: Ju, X.
last_name: Ju
- first_name: Swetlana
full_name: Schweizer, Swetlana
id: '8938'
last_name: Schweizer
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
- first_name: Rolf
full_name: Mahnken, Rolf
id: '335'
last_name: Mahnken
citation:
ama: 'Cheng C, Wang Z, Jin Z, et al. Non-linear mean-field modelling of UD composite
laminates accounting for average asymmetric plasticity of the matrix, debonding
and progressive failure. Composites Part B: Engineering. 2021;224. doi:10.1016/j.compositesb.2021.109209'
apa: 'Cheng, C., Wang, Z., Jin, Z., Ju, X., Schweizer, S., Tröster, T., & Mahnken,
R. (2021). Non-linear mean-field modelling of UD composite laminates accounting
for average asymmetric plasticity of the matrix, debonding and progressive failure.
Composites Part B: Engineering, 224, Article 109209. https://doi.org/10.1016/j.compositesb.2021.109209'
bibtex: '@article{Cheng_Wang_Jin_Ju_Schweizer_Tröster_Mahnken_2021, title={Non-linear
mean-field modelling of UD composite laminates accounting for average asymmetric
plasticity of the matrix, debonding and progressive failure}, volume={224}, DOI={10.1016/j.compositesb.2021.109209},
number={109209}, journal={Composites Part B: Engineering}, author={Cheng, C. and
Wang, Z. and Jin, Z. and Ju, X. and Schweizer, Swetlana and Tröster, Thomas and
Mahnken, Rolf}, year={2021} }'
chicago: 'Cheng, C., Z. Wang, Z. Jin, X. Ju, Swetlana Schweizer, Thomas Tröster,
and Rolf Mahnken. “Non-Linear Mean-Field Modelling of UD Composite Laminates Accounting
for Average Asymmetric Plasticity of the Matrix, Debonding and Progressive Failure.”
Composites Part B: Engineering 224 (2021). https://doi.org/10.1016/j.compositesb.2021.109209.'
ieee: 'C. Cheng et al., “Non-linear mean-field modelling of UD composite
laminates accounting for average asymmetric plasticity of the matrix, debonding
and progressive failure,” Composites Part B: Engineering, vol. 224, Art.
no. 109209, 2021, doi: 10.1016/j.compositesb.2021.109209.'
mla: 'Cheng, C., et al. “Non-Linear Mean-Field Modelling of UD Composite Laminates
Accounting for Average Asymmetric Plasticity of the Matrix, Debonding and Progressive
Failure.” Composites Part B: Engineering, vol. 224, 109209, 2021, doi:10.1016/j.compositesb.2021.109209.'
short: 'C. Cheng, Z. Wang, Z. Jin, X. Ju, S. Schweizer, T. Tröster, R. Mahnken,
Composites Part B: Engineering 224 (2021).'
date_created: 2021-08-18T06:20:21Z
date_updated: 2025-06-06T08:08:32Z
department:
- _id: '9'
- _id: '154'
- _id: '321'
- _id: '149'
doi: 10.1016/j.compositesb.2021.109209
intvolume: ' 224'
keyword:
- Non-linear mean-field homogenization Average asymmetric plasticity of matrix Fibre–matrix
interface debonding Micro-mechanical FE-simulation Progressive failure
language:
- iso: eng
publication: 'Composites Part B: Engineering'
publication_identifier:
issn:
- 1359-8368
publication_status: published
quality_controlled: '1'
status: public
title: Non-linear mean-field modelling of UD composite laminates accounting for average
asymmetric plasticity of the matrix, debonding and progressive failure
type: journal_article
user_id: '15952'
volume: 224
year: '2021'
...
---
_id: '21542'
abstract:
- lang: eng
text: Using near-field (NF) scan data to predict the far-field (FF) behaviour of
radiating electronic systems represents a novel method to accompany the whole
RF design process. This approach involves so-called Huygens' box as an efficient
radiation model inside an electromagnetic (EM) simulation tool and then transforms
the scanned NF measured data into the FF. For this, the basic idea of the Huygens'box
principle and the NF-to-FF transformation are briefly presented. The NF is measured
on the Huygens' box around a device under test using anNF scanner, recording the
magnitude and phase of the site-related magnetic and electric components. A comparison
between a fullwave simulation and the measurement results shows a good similarity
in both the NF and the simulated and transformed FF.Thus, this method is applicable
to predict the FF behaviour of any electronic system by measuring the NF. With
this knowledge, the RF design can be improved due to allowing a significant reduction
of EM compatibility failure at the end of the development flow. In addition, the
very efficient FF radiation model can be used for detailed investigations in various
environments and the impact of such an equivalent radiation source on other electronic
systems can be assessed.
author:
- first_name: Dominik
full_name: Schröder, Dominik
last_name: Schröder
- first_name: Sven
full_name: Lange, Sven
id: '38240'
last_name: Lange
- first_name: Christian
full_name: Hangmann, Christian
last_name: Hangmann
- first_name: Christian
full_name: Hedayat, Christian
last_name: Hedayat
citation:
ama: 'Schröder D, Lange S, Hangmann C, Hedayat C. Far-field prediction combining
simulations with near-field measurements for EMI assessment of PCBs. In: Tensorial
Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis.
1st ed. Croyton, UK: The Institution of Engineering and Technology (IET); 2020:315-346
(32). doi:10.1049/pbcs072e_ch14'
apa: 'Schröder, D., Lange, S., Hangmann, C., & Hedayat, C. (2020). Far-field
prediction combining simulations with near-field measurements for EMI assessment
of PCBs. In Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity
and EMC Analysis (1st ed., pp. 315-346 (32)). Croyton, UK: The Institution
of Engineering and Technology (IET). https://doi.org/10.1049/pbcs072e_ch14'
bibtex: '@inbook{Schröder_Lange_Hangmann_Hedayat_2020, place={Croyton, UK}, edition={1},
title={Far-field prediction combining simulations with near-field measurements
for EMI assessment of PCBs}, DOI={10.1049/pbcs072e_ch14},
booktitle={Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity
and EMC Analysis}, publisher={ The Institution of Engineering and Technology (IET)},
author={Schröder, Dominik and Lange, Sven and Hangmann, Christian and Hedayat,
Christian}, year={2020}, pages={315-346 (32)} }'
chicago: 'Schröder, Dominik, Sven Lange, Christian Hangmann, and Christian Hedayat.
“Far-Field Prediction Combining Simulations with near-Field Measurements for EMI
Assessment of PCBs.” In Tensorial Analysis of Networks (TAN) Modelling for
PCB Signal Integrity and EMC Analysis, 1st ed., 315-346 (32). Croyton, UK: The
Institution of Engineering and Technology (IET), 2020. https://doi.org/10.1049/pbcs072e_ch14.'
ieee: 'D. Schröder, S. Lange, C. Hangmann, and C. Hedayat, “Far-field prediction
combining simulations with near-field measurements for EMI assessment of PCBs,”
in Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity
and EMC Analysis, 1st ed., Croyton, UK: The Institution of Engineering and
Technology (IET), 2020, pp. 315-346 (32).'
mla: Schröder, Dominik, et al. “Far-Field Prediction Combining Simulations with
near-Field Measurements for EMI Assessment of PCBs.” Tensorial Analysis of
Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., The
Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32), doi:10.1049/pbcs072e_ch14.
short: 'D. Schröder, S. Lange, C. Hangmann, C. Hedayat, in: Tensorial Analysis
of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., The
Institution of Engineering and Technology (IET), Croyton, UK, 2020, pp. 315-346
(32).'
date_created: 2021-03-18T13:49:49Z
date_updated: 2022-01-06T06:55:03Z
department:
- _id: '485'
doi: 10.1049/pbcs072e_ch14
edition: '1'
keyword:
- Huygens' box
- NF-to-FF transformation
- efficient FF radiation model
- FF behaviour
- EMI assessment
- PCB
- near-field measurements
- efficient radiation model
- far-field behaviour
- RF design process
- far-field prediction
- Huygens'box principle
- fullwave simulation
- electronic system radiation
- equivalent radiation source
- electromagnetic simulation tool
- near-field scan data
- EM compatibility failure reduction
language:
- iso: eng
main_file_link:
- url: https://digital-library.theiet.org/content/books/10.1049/pbcs072e_ch14
page: 315-346 (32)
place: Croyton, UK
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity
and EMC Analysis
publication_identifier:
isbn:
- '9781839530494'
- '9781839530500'
publication_status: published
publisher: ' The Institution of Engineering and Technology (IET)'
related_material:
record:
- id: '21542'
relation: other
status: public
status: public
title: Far-field prediction combining simulations with near-field measurements for
EMI assessment of PCBs
type: book_chapter
user_id: '38240'
year: '2020'
...
---
_id: '4463'
abstract:
- lang: eng
text: "Academic success in Higher Education is influenced by a number of different
factors. This paper tackles the question if the individual levels of motivation,
anxiety, enjoyment and self-efficacy, measured immediately before entering university,
influence the probability of academic success. Former studies have shown an influence
of the high school grade, the learning environment and motivational variables.
They do not investigate, however, the individual levels of the mentioned constructs
before the beginning of the studies. This research was conducted at the University
of St. Gallen/Switzerland. The sample includes 695 first-year students who provided
information about the individual level of the mentioned constructs. \r\nDescriptive
statistics show that on average the students are highly motivated, have a high
level of self-efficacy and are looking forward to their studies before their beginning.
Yet, there are students who have a high level of fear of failure in the study
in spite of their high motivation and self-efficacy. A logistic regression shows
that there is a significant effect of fear of failure on the probability of study
success. This paper shows that fear of failure can increase the probability of
academic failure and thus become a self-fulfilling prophecy. It confirms fear
as an important factor for academic success. Furthermore, other important factors
for academic success, for example the high school grade, could be confirmed in
this study"
author:
- first_name: Taiga
full_name: Brahm, Taiga
last_name: Brahm
- first_name: Tobias
full_name: Jenert, Tobias
id: '71994'
last_name: Jenert
orcid: ' https://orcid.org/0000-0001-9262-5646'
- first_name: Dietrich
full_name: Wagner, Dietrich
last_name: Wagner
citation:
ama: 'Brahm T, Jenert T, Wagner D. The self-fulfilling prophecy of fear of academic
failure. In: ; 2015.'
apa: Brahm, T., Jenert, T., & Wagner, D. (2015). The self-fulfilling prophecy
of fear of academic failure. Presented at the 16th Biennial EARLI Conference for
Research on Learning and Instruction, Zypern.
bibtex: '@inproceedings{Brahm_Jenert_Wagner_2015, title={The self-fulfilling prophecy
of fear of academic failure}, author={Brahm, Taiga and Jenert, Tobias and Wagner,
Dietrich}, year={2015} }'
chicago: Brahm, Taiga, Tobias Jenert, and Dietrich Wagner. “The Self-Fulfilling
Prophecy of Fear of Academic Failure,” 2015.
ieee: T. Brahm, T. Jenert, and D. Wagner, “The self-fulfilling prophecy of fear
of academic failure,” presented at the 16th Biennial EARLI Conference for Research
on Learning and Instruction, Zypern, 2015.
mla: Brahm, Taiga, et al. The Self-Fulfilling Prophecy of Fear of Academic Failure.
2015.
short: 'T. Brahm, T. Jenert, D. Wagner, in: 2015.'
conference:
end_date: 2015-08-29
location: Zypern
name: 16th Biennial EARLI Conference for Research on Learning and Instruction
start_date: 2015-08-25
date_created: 2018-09-18T12:52:45Z
date_updated: 2022-01-06T07:01:05Z
department:
- _id: '208'
- _id: '282'
extern: '1'
keyword:
- Quantitative methods
- Student learning
- Emotion and Cognition
- Social sciences
- Higher education
- Motivation and Emotion
- Fear of Failure
status: public
title: The self-fulfilling prophecy of fear of academic failure
type: conference
user_id: '51057'
year: '2015'
...
---
_id: '5714'
abstract:
- lang: eng
text: Coalition loyalty programs are on the rise, yet few studies investigate the
impact of service failures in such programs. Using data from a retail context,
the authors show that a program partner deemed responsible for a service failure
suffers negative customer responses. However, customers’ perceptions of the benefits
of the coalition loyalty program buffer these consequences. Perhaps most importantly,
when customers perceive the program's special treatment benefits as low, direct
and indirect spillover effects occur, such that a service failure by one program
partner has a negative effect on customer loyalty toward the program itself.
article_type: original
author:
- first_name: Jan H
full_name: Schumann, Jan H
last_name: Schumann
- first_name: Nancy
full_name: Wünderlich, Nancy
id: '36392'
last_name: Wünderlich
- first_name: Heiner
full_name: Evanschitzky, Heiner
last_name: Evanschitzky
citation:
ama: 'Schumann JH, Wünderlich N, Evanschitzky H. Spillover Effects of Service Failures
in Coalition Loyalty Programs: The Buffering Effect of Special Treatment Benefits.
Journal of Retailing. 2014;90(1):111-118.'
apa: 'Schumann, J. H., Wünderlich, N., & Evanschitzky, H. (2014). Spillover
Effects of Service Failures in Coalition Loyalty Programs: The Buffering Effect
of Special Treatment Benefits. Journal of Retailing, 90(1), 111–118.'
bibtex: '@article{Schumann_Wünderlich_Evanschitzky_2014, title={Spillover Effects
of Service Failures in Coalition Loyalty Programs: The Buffering Effect of Special
Treatment Benefits.}, volume={90}, number={1}, journal={Journal of Retailing},
publisher={Elsevier}, author={Schumann, Jan H and Wünderlich, Nancy and Evanschitzky,
Heiner}, year={2014}, pages={111–118} }'
chicago: 'Schumann, Jan H, Nancy Wünderlich, and Heiner Evanschitzky. “Spillover
Effects of Service Failures in Coalition Loyalty Programs: The Buffering Effect
of Special Treatment Benefits.” Journal of Retailing 90, no. 1 (2014):
111–18.'
ieee: 'J. H. Schumann, N. Wünderlich, and H. Evanschitzky, “Spillover Effects of
Service Failures in Coalition Loyalty Programs: The Buffering Effect of Special
Treatment Benefits.,” Journal of Retailing, vol. 90, no. 1, pp. 111–118,
2014.'
mla: 'Schumann, Jan H., et al. “Spillover Effects of Service Failures in Coalition
Loyalty Programs: The Buffering Effect of Special Treatment Benefits.” Journal
of Retailing, vol. 90, no. 1, Elsevier, 2014, pp. 111–18.'
short: J.H. Schumann, N. Wünderlich, H. Evanschitzky, Journal of Retailing 90 (2014)
111–118.
date_created: 2018-11-16T09:23:24Z
date_updated: 2022-01-06T07:02:37Z
department:
- _id: '181'
intvolume: ' 90'
issue: '1'
keyword:
- Service failure
- Spillover effects
- Buffering effect
- Coalition loyalty program
language:
- iso: eng
page: 111-118
publication: Journal of Retailing
publication_status: published
publisher: Elsevier
status: public
title: 'Spillover Effects of Service Failures in Coalition Loyalty Programs: The Buffering
Effect of Special Treatment Benefits.'
type: journal_article
user_id: '37741'
volume: 90
year: '2014'
...
---
_id: '9868'
abstract:
- lang: eng
text: In order to increase mechanical strength, heat dissipation and ampacity and
to decrease failure through fatigue fracture, wedge copper wire bonding is being
introduced as a standard interconnection method for mass production. To achieve
the same process stability when using copper wire instead of aluminum wire a profound
understanding of the bonding process is needed. Due to the higher hardness of
copper compared to aluminum wire it is more difficult to approach the surfaces
of wire and substrate to a level where van der Waals forces are able to arise
between atoms. Also, enough friction energy referred to the total contact area
has to be generated to activate the surfaces. Therefore, a friction model is used
to simulate the joining process. This model calculates the resulting energy of
partial areas in the contact surface and provides information about the adhesion
process of each area. The focus here is on the arising of micro joints in the
contact area depending on the location in the contact and time. To validate the
model, different touchdown forces are used to vary the initial contact areas of
wire and substrate. Additionally, a piezoelectric tri-axial force sensor is built
up to identify the known phases of pre-deforming, cleaning, adhering and diffusing
for the real bonding process to map with the model. Test substrates as DBC and
copper plate are used to show the different formations of a wedge bond connection
due to hardness and reaction propensity. The experiments were done by using 500
$\mu$m copper wire and a standard V-groove tool.
author:
- first_name: Simon
full_name: Althoff, Simon
last_name: Althoff
- first_name: Jan
full_name: Neuhaus, Jan
last_name: Neuhaus
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Althoff S, Neuhaus J, Hemsel T, Sextro W. Improving the bond quality of copper
wire bonds using a friction model approach. In: Electronic Components and Technology
Conference (ECTC), 2014 IEEE 64th. ; 2014:1549-1555. doi:10.1109/ECTC.2014.6897500'
apa: Althoff, S., Neuhaus, J., Hemsel, T., & Sextro, W. (2014). Improving the
bond quality of copper wire bonds using a friction model approach. In Electronic
Components and Technology Conference (ECTC), 2014 IEEE 64th (pp. 1549–1555).
https://doi.org/10.1109/ECTC.2014.6897500
bibtex: '@inproceedings{Althoff_Neuhaus_Hemsel_Sextro_2014, title={Improving the
bond quality of copper wire bonds using a friction model approach}, DOI={10.1109/ECTC.2014.6897500},
booktitle={Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th},
author={Althoff, Simon and Neuhaus, Jan and Hemsel, Tobias and Sextro, Walter},
year={2014}, pages={1549–1555} }'
chicago: Althoff, Simon, Jan Neuhaus, Tobias Hemsel, and Walter Sextro. “Improving
the Bond Quality of Copper Wire Bonds Using a Friction Model Approach.” In Electronic
Components and Technology Conference (ECTC), 2014 IEEE 64th, 1549–55, 2014.
https://doi.org/10.1109/ECTC.2014.6897500.
ieee: S. Althoff, J. Neuhaus, T. Hemsel, and W. Sextro, “Improving the bond quality
of copper wire bonds using a friction model approach,” in Electronic Components
and Technology Conference (ECTC), 2014 IEEE 64th, 2014, pp. 1549–1555.
mla: Althoff, Simon, et al. “Improving the Bond Quality of Copper Wire Bonds Using
a Friction Model Approach.” Electronic Components and Technology Conference
(ECTC), 2014 IEEE 64th, 2014, pp. 1549–55, doi:10.1109/ECTC.2014.6897500.
short: 'S. Althoff, J. Neuhaus, T. Hemsel, W. Sextro, in: Electronic Components
and Technology Conference (ECTC), 2014 IEEE 64th, 2014, pp. 1549–1555.'
date_created: 2019-05-20T12:11:44Z
date_updated: 2019-09-16T10:57:58Z
department:
- _id: '151'
doi: 10.1109/ECTC.2014.6897500
keyword:
- adhesion
- circuit reliability
- deformation
- diffusion
- fatigue cracks
- friction
- interconnections
- lead bonding
- van der Waals forces
- Cu
- adhering process
- adhesion process
- ampacity improvement
- bond quality improvement
- cleaning process
- diffusing process
- fatigue fracture failure
- friction energy
- friction model
- heat dissipation
- mechanical strength
- piezoelectric triaxial force sensor
- predeforming process
- size 500 mum
- total contact area
- van der Waals forces
- wedge copper wire bonding
- Bonding
- Copper
- Finite element analysis
- Force
- Friction
- Substrates
- Wires
language:
- iso: eng
page: 1549-1555
publication: Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th
quality_controlled: '1'
status: public
title: Improving the bond quality of copper wire bonds using a friction model approach
type: conference
user_id: '55222'
year: '2014'
...
---
_id: '20870'
abstract:
- lang: eng
text: This study shows how venture capital investors can identify potential biases
in multi-year management forecasts before an investment decision and derive significantly
more accurate failure predictions. By advancing a cross-sectional projection method
developed by prior research and using firm-specific information in financial statements
and business plans, we derive benchmarks for management revenue forecasts. With
these benchmarks, we estimate forecast errors as an a priori measure of biased
expectations. Using this measure for our proprietary dataset on venture-backed
start-ups in Germany, we find evidence of substantial upward forecast biases.
We uncover that firms with large forecast errors fail significantly more often
than do less biased entrepreneurs in years following the investment. Overall,
our results highlight the implications of excessive optimism and overconfidence
in entrepreneurial environments and emphasize the relevance of accounting information
and business plans for venture capital investment decisions.
author:
- first_name: Sönke
full_name: Sievers, Sönke
id: '46447'
last_name: Sievers
- first_name: Christopher Frederik
full_name: Mokwa, Christopher Frederik
last_name: Mokwa
citation:
ama: Sievers S, Mokwa CF. The Relevance of Biases in Management Forecasts for
Failure Prediction in Venture Capital Investments.; 2012. doi:10.2139/ssrn.2100501
apa: Sievers, S., & Mokwa, C. F. (2012). The Relevance of Biases in Management
Forecasts for Failure Prediction in Venture Capital Investments. https://doi.org/10.2139/ssrn.2100501
bibtex: '@book{Sievers_Mokwa_2012, title={The Relevance of Biases in Management
Forecasts for Failure Prediction in Venture Capital Investments}, DOI={10.2139/ssrn.2100501},
author={Sievers, Sönke and Mokwa, Christopher Frederik}, year={2012} }'
chicago: Sievers, Sönke, and Christopher Frederik Mokwa. The Relevance of Biases
in Management Forecasts for Failure Prediction in Venture Capital Investments,
2012. https://doi.org/10.2139/ssrn.2100501.
ieee: S. Sievers and C. F. Mokwa, The Relevance of Biases in Management Forecasts
for Failure Prediction in Venture Capital Investments. 2012.
mla: Sievers, Sönke, and Christopher Frederik Mokwa. The Relevance of Biases
in Management Forecasts for Failure Prediction in Venture Capital Investments.
2012, doi:10.2139/ssrn.2100501.
short: S. Sievers, C.F. Mokwa, The Relevance of Biases in Management Forecasts for
Failure Prediction in Venture Capital Investments, 2012.
date_created: 2021-01-05T11:59:50Z
date_updated: 2022-01-06T06:54:41Z
department:
- _id: '275'
doi: 10.2139/ssrn.2100501
extern: '1'
jel:
- G24
- G32
- M13
- M41
keyword:
- Management forecast biases
- cross-sectional projection models
- venture-backed start-ups
- failure prediction
- overoptimism
- overconfidence
language:
- iso: eng
main_file_link:
- url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2100501
page: '31'
publication_status: published
status: public
title: The Relevance of Biases in Management Forecasts for Failure Prediction in Venture
Capital Investments
type: working_paper
user_id: '46447'
year: '2012'
...
---
_id: '5196'
abstract:
- lang: eng
text: 'This study shows how venture capital investors can identify potential biases
in multi-year management forecasts before an investment decision and derive significantly
more accurate failure predictions. By advancing a cross-sectional projection method
developed by prior research and using firm-specific information in financial statements
and business plans, we derive benchmarks for management revenue forecasts. With
these benchmarks, we estimate forecast errors as an a priori measure of biased
expectations. Using this measure for our proprietary dataset on venture-backed
start-ups in Germany, we find evidence of substantial upward forecast biases.
We uncover that firms with large forecast errors fail significantly more often
than do less biased entrepreneurs in years following the investment. Overall,
our results highlight the implications of excessive optimism and overconfidence
in entrepreneurial environments and emphasize the relevance of accounting information
and business plans for venture capital investment decisions. '
author:
- first_name: Christopher Frederik
full_name: Mokwa, Christopher Frederik
last_name: Mokwa
- first_name: Sönke
full_name: Sievers, Sönke
last_name: Sievers
citation:
ama: Mokwa CF, Sievers S. The Relevance of Biases in Management Forecasts for Failure
Prediction in Venture Capital Investments. SSRN Electronic Journal. 2012.
doi:10.2139/ssrn.2100501
apa: Mokwa, C. F., & Sievers, S. (2012). The Relevance of Biases in Management
Forecasts for Failure Prediction in Venture Capital Investments. SSRN Electronic
Journal. https://doi.org/10.2139/ssrn.2100501
bibtex: '@article{Mokwa_Sievers_2012, title={The Relevance of Biases in Management
Forecasts for Failure Prediction in Venture Capital Investments}, DOI={10.2139/ssrn.2100501},
journal={SSRN Electronic Journal}, author={Mokwa, Christopher Frederik and Sievers,
Sönke}, year={2012} }'
chicago: Mokwa, Christopher Frederik, and Sönke Sievers. “The Relevance of Biases
in Management Forecasts for Failure Prediction in Venture Capital Investments.”
SSRN Electronic Journal, 2012. https://doi.org/10.2139/ssrn.2100501.
ieee: C. F. Mokwa and S. Sievers, “The Relevance of Biases in Management Forecasts
for Failure Prediction in Venture Capital Investments,” SSRN Electronic Journal,
2012.
mla: Mokwa, Christopher Frederik, and Sönke Sievers. “The Relevance of Biases in
Management Forecasts for Failure Prediction in Venture Capital Investments.” SSRN
Electronic Journal, 2012, doi:10.2139/ssrn.2100501.
short: C.F. Mokwa, S. Sievers, SSRN Electronic Journal (2012).
date_created: 2018-10-31T12:12:28Z
date_updated: 2022-01-06T07:01:43Z
department:
- _id: '275'
doi: 10.2139/ssrn.2100501
jel:
- G24
- G32
- M13
- M41
keyword:
- Management forecast biases
- cross-sectional projection models
- venture-backed start-ups
- failure prediction
- overoptimism
- overconfidence
language:
- iso: eng
publication: SSRN Electronic Journal
publication_status: published
status: public
title: The Relevance of Biases in Management Forecasts for Failure Prediction in Venture
Capital Investments
type: journal_article
user_id: '64756'
year: '2012'
...
---
_id: '9760'
abstract:
- lang: eng
text: Self-optimizing systems are able to adapt their behavior autonomously according
to their current self-determined objectives. Unforeseen influences could lead
to dependability-critical behavior of the system. Methods are required which secure
self-optimizing systems during operation. These methods to increase the dependability
of the system should already be taken into consideration in the design process.
This paper presents a guideline for the dependability-oriented design of self-optimizing
systems, which integrates established classical methods like failure mode and
effects analysis as well as methods based on self-optimization. On the one hand
self-optimization is used to increase the dependability of the system by integrating
objectives like safety, availability, and reliability to the objectives of the
system. On the other hand methods are required to ensure the self-optimization
itself. As basis for this guideline serves the principle solution of the system.
The six phases of the guideline extend the design process and lead to an enhanced
principle solution. Additionally, the guideline illustrates phases to implement
and validate the self-optimizing system. The proposed guideline is applied to
an innovative rail-bound vehicle, called RailCab, which is equipped with self-optimizing
function modules.
author:
- first_name: Christoph
full_name: Sondermann-Wölke, Christoph
last_name: Sondermann-Wölke
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
- first_name: Sebastian
full_name: Pook, Sebastian
last_name: Pook
citation:
ama: 'Sondermann-Wölke C, Hemsel T, Sextro W, Gausemeier J, Pook S. Guideline for
the dependability-oriented design of self-optimizing systems. In: Industrial
Informatics (INDIN), 2010 8th IEEE International Conference On. ; 2010:739-744.
doi:10.1109/INDIN.2010.5549490'
apa: Sondermann-Wölke, C., Hemsel, T., Sextro, W., Gausemeier, J., & Pook, S.
(2010). Guideline for the dependability-oriented design of self-optimizing systems.
In Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
(pp. 739–744). https://doi.org/10.1109/INDIN.2010.5549490
bibtex: '@inproceedings{Sondermann-Wölke_Hemsel_Sextro_Gausemeier_Pook_2010, title={Guideline
for the dependability-oriented design of self-optimizing systems}, DOI={10.1109/INDIN.2010.5549490},
booktitle={Industrial Informatics (INDIN), 2010 8th IEEE International Conference
on}, author={Sondermann-Wölke, Christoph and Hemsel, Tobias and Sextro, Walter
and Gausemeier, Jürgen and Pook, Sebastian}, year={2010}, pages={739–744} }'
chicago: Sondermann-Wölke, Christoph, Tobias Hemsel, Walter Sextro, Jürgen Gausemeier,
and Sebastian Pook. “Guideline for the Dependability-Oriented Design of Self-Optimizing
Systems.” In Industrial Informatics (INDIN), 2010 8th IEEE International Conference
On, 739–44, 2010. https://doi.org/10.1109/INDIN.2010.5549490.
ieee: C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline
for the dependability-oriented design of self-optimizing systems,” in Industrial
Informatics (INDIN), 2010 8th IEEE International Conference on, 2010, pp.
739–744.
mla: Sondermann-Wölke, Christoph, et al. “Guideline for the Dependability-Oriented
Design of Self-Optimizing Systems.” Industrial Informatics (INDIN), 2010 8th
IEEE International Conference On, 2010, pp. 739–44, doi:10.1109/INDIN.2010.5549490.
short: 'C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, S. Pook, in: Industrial
Informatics (INDIN), 2010 8th IEEE International Conference On, 2010, pp. 739–744.'
date_created: 2019-05-13T10:25:26Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
doi: 10.1109/INDIN.2010.5549490
keyword:
- RailCab
- dependability-critical behavior
- dependability-oriented design
- failure mode
- rail-bound vehicle
- secure self-optimizing systems
- self-optimizing function modules
- optimisation
- railways
- self-adjusting systems
language:
- iso: eng
page: 739 -744
publication: Industrial Informatics (INDIN), 2010 8th IEEE International Conference
on
quality_controlled: '1'
status: public
title: Guideline for the dependability-oriented design of self-optimizing systems
type: conference
user_id: '55222'
year: '2010'
...