---
_id: '61149'
abstract:
- lang: eng
  text: The use of continuous fiber-reinforced thermoplastics (FRTP) in automotive
    industry increases due to their excellent material properties and possibility
    of rapid processing. The scale spanning heterogeneity of their material structure
    and its influence on the material behavior, however, presents significant challenges
    for most joining technologies, such as self-piercing riveting (SPR). During mechanical
    joining, the material structure is significantly altered within and around the
    joining zone, heavily influencing the material behavior. A comprehensive understanding
    of the underlying phenomena of material alteration during the SPR process is essential
    as basis for validating numerical simulations. This study examines the material
    structure at ten stages of a step-setting test of SPR with two FRTP sheets with
    glass-fiber reinforcement. Utilizing X-ray computed tomography (CT), the damage
    phenomena within different areas of the setting test are analyzed three-dimensionally
    and key parameters are quantified. Dominating phenomena during the penetration
    of the rivet into the laminate are fiber failure (FF), interfiber failure (IFF)
    and fiber bending, while delamination, fiber kinking and roving splitting are
    also observed. At the final stages, the bottom layers of the second sheet collapse
    and form a bulge into the cavity of the die.
author:
- first_name: Alrik
  full_name: Dargel, Alrik
  id: '114764'
  last_name: Dargel
- first_name: Benjamin
  full_name: Gröger, Benjamin
  last_name: Gröger
- first_name: Malte Christian
  full_name: Schlichter, Malte Christian
  id: '61977'
  last_name: Schlichter
- first_name: Johannes
  full_name: Gerritzen, Johannes
  id: '105344'
  last_name: Gerritzen
  orcid: 0000-0002-0169-8602
- first_name: Daniel
  full_name: Köhler, Daniel
  id: '83408'
  last_name: Köhler
- first_name: Gerson
  full_name: Meschut, Gerson
  id: '32056'
  last_name: Meschut
  orcid: 0000-0002-2763-1246
- first_name: Maik
  full_name: Gude, Maik
  last_name: Gude
- first_name: Robert
  full_name: Kupfer, Robert
  last_name: Kupfer
citation:
  ama: 'Dargel A, Gröger B, Schlichter MC, et al. LOCAL DEFORMATION AND FAILURE OF
    COMPOSITES DURING SELF-PIERCING RIVETING: A CT BASED MICROSTRUCTURE INVESTIGATION.
    In: Gomes JFS, Meguid SA, eds. <i>Proceedings of the 8th International Conference
    on Integrity-Reliability-Failure (IRF2025)</i>. FEUP; 2025. doi:<a href="https://doi.org/10.24840/978-972-752-323-8">10.24840/978-972-752-323-8</a>'
  apa: 'Dargel, A., Gröger, B., Schlichter, M. C., Gerritzen, J., Köhler, D., Meschut,
    G., Gude, M., &#38; Kupfer, R. (2025). LOCAL DEFORMATION AND FAILURE OF COMPOSITES
    DURING SELF-PIERCING RIVETING: A CT BASED MICROSTRUCTURE INVESTIGATION. In J.
    F. S. Gomes &#38; S. A. Meguid (Eds.), <i>Proceedings of the 8th International
    Conference on Integrity-Reliability-Failure (IRF2025)</i>. FEUP. <a href="https://doi.org/10.24840/978-972-752-323-8">https://doi.org/10.24840/978-972-752-323-8</a>'
  bibtex: '@inproceedings{Dargel_Gröger_Schlichter_Gerritzen_Köhler_Meschut_Gude_Kupfer_2025,
    place={Porto}, title={LOCAL DEFORMATION AND FAILURE OF COMPOSITES DURING SELF-PIERCING
    RIVETING: A CT BASED MICROSTRUCTURE INVESTIGATION}, DOI={<a href="https://doi.org/10.24840/978-972-752-323-8">10.24840/978-972-752-323-8</a>},
    booktitle={Proceedings of the 8th International Conference on Integrity-Reliability-Failure
    (IRF2025)}, publisher={FEUP}, author={Dargel, Alrik and Gröger, Benjamin and Schlichter,
    Malte Christian and Gerritzen, Johannes and Köhler, Daniel and Meschut, Gerson
    and Gude, Maik and Kupfer, Robert}, editor={Gomes, J.F. Silva and Meguid, Shaker
    A.}, year={2025} }'
  chicago: 'Dargel, Alrik, Benjamin Gröger, Malte Christian Schlichter, Johannes Gerritzen,
    Daniel Köhler, Gerson Meschut, Maik Gude, and Robert Kupfer. “LOCAL DEFORMATION
    AND FAILURE OF COMPOSITES DURING SELF-PIERCING RIVETING: A CT BASED MICROSTRUCTURE
    INVESTIGATION.” In <i>Proceedings of the 8th International Conference on Integrity-Reliability-Failure
    (IRF2025)</i>, edited by J.F. Silva Gomes and Shaker A. Meguid. Porto: FEUP, 2025.
    <a href="https://doi.org/10.24840/978-972-752-323-8">https://doi.org/10.24840/978-972-752-323-8</a>.'
  ieee: 'A. Dargel <i>et al.</i>, “LOCAL DEFORMATION AND FAILURE OF COMPOSITES DURING
    SELF-PIERCING RIVETING: A CT BASED MICROSTRUCTURE INVESTIGATION,” in <i>Proceedings
    of the 8th International Conference on Integrity-Reliability-Failure (IRF2025)</i>,
    Porto, 2025, doi: <a href="https://doi.org/10.24840/978-972-752-323-8">10.24840/978-972-752-323-8</a>.'
  mla: 'Dargel, Alrik, et al. “LOCAL DEFORMATION AND FAILURE OF COMPOSITES DURING
    SELF-PIERCING RIVETING: A CT BASED MICROSTRUCTURE INVESTIGATION.” <i>Proceedings
    of the 8th International Conference on Integrity-Reliability-Failure (IRF2025)</i>,
    edited by J.F. Silva Gomes and Shaker A. Meguid, FEUP, 2025, doi:<a href="https://doi.org/10.24840/978-972-752-323-8">10.24840/978-972-752-323-8</a>.'
  short: 'A. Dargel, B. Gröger, M.C. Schlichter, J. Gerritzen, D. Köhler, G. Meschut,
    M. Gude, R. Kupfer, in: J.F.S. Gomes, S.A. Meguid (Eds.), Proceedings of the 8th
    International Conference on Integrity-Reliability-Failure (IRF2025), FEUP, Porto,
    2025.'
conference:
  end_date: 2025-07-18
  location: Porto
  name: 8th International Conference on Integrity-Reliability-Failure (IRF2025)
  start_date: 2025-07-15
date_created: 2025-09-08T11:52:45Z
date_updated: 2026-02-27T06:45:17Z
doi: 10.24840/978-972-752-323-8
editor:
- first_name: J.F. Silva
  full_name: Gomes, J.F. Silva
  last_name: Gomes
- first_name: Shaker A.
  full_name: Meguid, Shaker A.
  last_name: Meguid
keyword:
- self-piercing riveting
- computed tomography
- thermoplastic composites
- process-structure-interaction
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/395593556_LOCAL_DEFORMATION_AND_FAILURE_OF_COMPOSITES_DURING_SELF-PIERCING_RIVETING_A_CT_BASED_MICROSTRUCTURE_INVESTIGATION
oa: '1'
place: Porto
project:
- _id: '133'
  name: TRR 285 - Project Area C
- _id: '148'
  name: TRR 285 - Subproject C04
- _id: '130'
  name: 'TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen
    Prozessketten'
- _id: '131'
  name: TRR 285 - Project Area A
- _id: '137'
  name: TRR 285 - Subproject A03
- _id: '135'
  name: TRR 285 - Subproject A01
publication: Proceedings of the 8th International Conference on Integrity-Reliability-Failure
  (IRF2025)
publication_identifier:
  isbn:
  - '9789727523238'
publication_status: published
publisher: FEUP
status: public
title: 'LOCAL DEFORMATION AND FAILURE OF COMPOSITES DURING SELF-PIERCING RIVETING:
  A CT BASED MICROSTRUCTURE INVESTIGATION'
type: conference
user_id: '105344'
year: '2025'
...
---
_id: '62078'
abstract:
- lang: eng
  text: 'Fiber reinforced plastics (FRP) exhibit strongly non-linear deformation behavior.
    To capture this in simulations, intricate models with a variety of parameters
    are typically used. The identification of values for such parameters is highly
    challenging and requires in depth understanding of the model itself. Machine learning
    (ML) is a promising approach for alleviating this challenge by directly predicting
    parameters based on experimental results. So far, this works mostly for purely
    artificial data. In this work, two approaches to generalize to experimental data
    are investigated: a sequential approach, leveraging understanding of the constitutive
    model and a direct, purely data driven approach. This is exemplary carried out
    for a highly non-linear strain rate dependent constitutive model for the shear
    behavior of FRP.The sequential model is found to work better on both artificial
    and experimental data. It is capable of extracting well suited parameters from
    the artificial data under realistic conditions. For the experimental data, the
    model performance depends on the composition of the experimental curves, varying
    between excellently suiting and reasonable predictions. Taking the expert knowledge
    into account for ML-model training led to far better results than the purely data
    driven approach. Robustifying the model predictions on experimental data promises
    further improvement. '
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: Peter
  full_name: Winkler, Peter
  last_name: Winkler
- first_name: Maik
  full_name: Gude, Maik
  last_name: Gude
citation:
  ama: 'Gerritzen J, Hornig A, Winkler P, Gude M. Direct parameter identification
    for highly nonlinear strain rate dependent constitutive models using machine learning.
    In: <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>.
    Vol 3. European Society for Composite Materials (ESCM); 2024:1252–1259. doi:<a
    href="https://doi.org/10.60691/yj56-np80">10.60691/yj56-np80</a>'
  apa: Gerritzen, J., Hornig, A., Winkler, P., &#38; Gude, M. (2024). Direct parameter
    identification for highly nonlinear strain rate dependent constitutive models
    using machine learning. <i>ECCM21 - Proceedings of the 21st European Conference
    on Composite Materials</i>, <i>3</i>, 1252–1259. <a href="https://doi.org/10.60691/yj56-np80">https://doi.org/10.60691/yj56-np80</a>
  bibtex: '@inproceedings{Gerritzen_Hornig_Winkler_Gude_2024, title={Direct parameter
    identification for highly nonlinear strain rate dependent constitutive models
    using machine learning}, volume={3}, DOI={<a href="https://doi.org/10.60691/yj56-np80">10.60691/yj56-np80</a>},
    booktitle={ECCM21 - Proceedings of the 21st European Conference on Composite Materials},
    publisher={European Society for Composite Materials (ESCM)}, author={Gerritzen,
    Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}, year={2024},
    pages={1252–1259} }'
  chicago: Gerritzen, Johannes, Andreas Hornig, Peter Winkler, and Maik Gude. “Direct
    Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive
    Models Using Machine Learning.” In <i>ECCM21 - Proceedings of the 21st European
    Conference on Composite Materials</i>, 3:1252–1259. European Society for Composite
    Materials (ESCM), 2024. <a href="https://doi.org/10.60691/yj56-np80">https://doi.org/10.60691/yj56-np80</a>.
  ieee: 'J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification
    for highly nonlinear strain rate dependent constitutive models using machine learning,”
    in <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>,
    2024, vol. 3, pp. 1252–1259, doi: <a href="https://doi.org/10.60691/yj56-np80">10.60691/yj56-np80</a>.'
  mla: Gerritzen, Johannes, et al. “Direct Parameter Identification for Highly Nonlinear
    Strain Rate Dependent Constitutive Models Using Machine Learning.” <i>ECCM21 -
    Proceedings of the 21st European Conference on Composite Materials</i>, vol. 3,
    European Society for Composite Materials (ESCM), 2024, pp. 1252–1259, doi:<a href="https://doi.org/10.60691/yj56-np80">10.60691/yj56-np80</a>.
  short: 'J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of
    the 21st European Conference on Composite Materials, European Society for Composite
    Materials (ESCM), 2024, pp. 1252–1259.'
date_created: 2025-11-04T12:47:06Z
date_updated: 2026-02-27T06:46:21Z
doi: 10.60691/yj56-np80
intvolume: '         3'
keyword:
- Direct parameter identification
- Machine learning
- Convolutional neural networks
- Strain rate dependency
- Fiber reinforced plastics
- woven composites
- segmentation
- synthetic training data
- x-ray computed tomography
language:
- iso: eng
page: 1252–1259
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: ECCM21 - Proceedings of the 21st European Conference on Composite Materials
publication_identifier:
  isbn:
  - 978-2-912985-01-9
publisher: European Society for Composite Materials (ESCM)
status: public
title: Direct parameter identification for highly nonlinear strain rate dependent
  constitutive models using machine learning
type: conference
user_id: '105344'
volume: 3
year: '2024'
...
---
_id: '34212'
abstract:
- lang: eng
  text: "Force–displacement measurements and micrograph analyses are commonly used
    methods to validate numerical models of clinching processes. However, these methods
    often lead to resetting of elastic deformations and crack-\r\nclosing after unloading.
    In contrast, the in situ computed tomography (CT) can provide three-dimensional
    images of the clinch point under loading conditions. In this paper, the potential
    of the in situ investigation of a clinching process as validation method is analyzed.
    For the in situ testing, a tailored test set-up featuring a beryllium cylinder
    for load-bearing and clinching tools made from ultra-high-strength titanium and
    Si3N4 are used. In the experiments, the clinching of two aluminum sheets is interrupted
    at specific process steps in order to perform the CT scans. It is shown that in
    situ CT visualizes the inner geometry of the joint at high precision and that
    this method is suitable to validate numerical models."
author:
- first_name: Daniel
  full_name: Köhler, Daniel
  last_name: Köhler
- first_name: Robert
  full_name: Kupfer, Robert
  last_name: Kupfer
- first_name: Juliane
  full_name: Troschitz, Juliane
  last_name: Troschitz
- first_name: Maik
  full_name: Gude, Maik
  last_name: Gude
citation:
  ama: 'Köhler D, Kupfer R, Troschitz J, Gude M. Clinching in In Situ CT—A Novel Validation
    Method for Mechanical Joining Processes. In: <i>The Minerals, Metals &#38; Materials
    Series</i>. Springer International Publishing; 2022. doi:<a href="https://doi.org/10.1007/978-3-031-06212-4_75">10.1007/978-3-031-06212-4_75</a>'
  apa: Köhler, D., Kupfer, R., Troschitz, J., &#38; Gude, M. (2022). Clinching in
    In Situ CT—A Novel Validation Method for Mechanical Joining Processes. In <i>The
    Minerals, Metals &#38; Materials Series</i>. Springer International Publishing.
    <a href="https://doi.org/10.1007/978-3-031-06212-4_75">https://doi.org/10.1007/978-3-031-06212-4_75</a>
  bibtex: '@inbook{Köhler_Kupfer_Troschitz_Gude_2022, place={Cham}, title={Clinching
    in In Situ CT—A Novel Validation Method for Mechanical Joining Processes}, DOI={<a
    href="https://doi.org/10.1007/978-3-031-06212-4_75">10.1007/978-3-031-06212-4_75</a>},
    booktitle={The Minerals, Metals &#38; Materials Series}, publisher={Springer International
    Publishing}, author={Köhler, Daniel and Kupfer, Robert and Troschitz, Juliane
    and Gude, Maik}, year={2022} }'
  chicago: 'Köhler, Daniel, Robert Kupfer, Juliane Troschitz, and Maik Gude. “Clinching
    in In Situ CT—A Novel Validation Method for Mechanical Joining Processes.” In
    <i>The Minerals, Metals &#38; Materials Series</i>. Cham: Springer International
    Publishing, 2022. <a href="https://doi.org/10.1007/978-3-031-06212-4_75">https://doi.org/10.1007/978-3-031-06212-4_75</a>.'
  ieee: 'D. Köhler, R. Kupfer, J. Troschitz, and M. Gude, “Clinching in In Situ CT—A
    Novel Validation Method for Mechanical Joining Processes,” in <i>The Minerals,
    Metals &#38; Materials Series</i>, Cham: Springer International Publishing, 2022.'
  mla: Köhler, Daniel, et al. “Clinching in In Situ CT—A Novel Validation Method for
    Mechanical Joining Processes.” <i>The Minerals, Metals &#38; Materials Series</i>,
    Springer International Publishing, 2022, doi:<a href="https://doi.org/10.1007/978-3-031-06212-4_75">10.1007/978-3-031-06212-4_75</a>.
  short: 'D. Köhler, R. Kupfer, J. Troschitz, M. Gude, in: The Minerals, Metals &#38;
    Materials Series, Springer International Publishing, Cham, 2022.'
date_created: 2022-12-05T21:06:21Z
date_updated: 2022-12-05T21:11:47Z
doi: 10.1007/978-3-031-06212-4_75
keyword:
- Clinching
- Non-destructive testing
- Computed tomography
- In situ CT
language:
- iso: eng
place: Cham
project:
- _id: '130'
  grant_number: '418701707'
  name: 'TRR 285: TRR 285'
- _id: '133'
  name: 'TRR 285 - C: TRR 285 - Project Area C'
- _id: '148'
  name: 'TRR 285 – C04: TRR 285 - Subproject C04'
publication: The Minerals, Metals & Materials Series
publication_identifier:
  isbn:
  - '9783031062117'
  - '9783031062124'
  issn:
  - 2367-1181
  - 2367-1696
publication_status: published
publisher: Springer International Publishing
status: public
title: Clinching in In Situ CT—A Novel Validation Method for Mechanical Joining Processes
type: book_chapter
user_id: '7850'
year: '2022'
...
