---
_id: '34414'
abstract:
- lang: eng
text: Given a steadily increasing demand on multi-material lightweight designs,
fast and cost-efficient production technologies, such as the mechanical joining
process clinching, are becoming more and more relevant for series production.
Since the application of such joining techniques often base on the ability to
reach similar or even better joint loading capacities compared to established
joining processes (e.g., spot welding), few contributions investigated the systematic
improvement of clinch joint characteristics. In this regard, the use of data-driven
methods in combination with optimization algorithms showed already high potentials
for the analysis of individual joints and the definition of optimal tool configurations.
However, the often missing consideration of uncertainties, such as varying material
properties, and the related calculation of their impact on clinch joint properties
can lead to poor estimation results and thus to a decreased reliability of the
entire joint connection. This can cause major challenges, especially for the design
and dimensioning of safety-relevant components, such as in car bodies. Motivated
by this, the presented contribution introduces a novel method for the robust estimation
of clinch joint characteristics including uncertainties of varying and versatile
process chains in mechanical joining. Therefore, the utilization of Gaussian process
regression models is demonstrated and evaluated regarding the ability to achieve
sufficient prediction qualities.
author:
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
citation:
ama: Zirngibl C, Schleich B, Wartzack S. Robust estimation of clinch joint characteristics
based on data-driven methods. The International Journal of Advanced Manufacturing
Technology. Published online 2022. doi:10.1007/s00170-022-10441-7
apa: Zirngibl, C., Schleich, B., & Wartzack, S. (2022). Robust estimation of
clinch joint characteristics based on data-driven methods. The International
Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-022-10441-7
bibtex: '@article{Zirngibl_Schleich_Wartzack_2022, title={Robust estimation of clinch
joint characteristics based on data-driven methods}, DOI={10.1007/s00170-022-10441-7},
journal={The International Journal of Advanced Manufacturing Technology}, publisher={Springer
Science and Business Media LLC}, author={Zirngibl, Christoph and Schleich, Benjamin
and Wartzack, Sandro}, year={2022} }'
chicago: Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. “Robust Estimation
of Clinch Joint Characteristics Based on Data-Driven Methods.” The International
Journal of Advanced Manufacturing Technology, 2022. https://doi.org/10.1007/s00170-022-10441-7.
ieee: 'C. Zirngibl, B. Schleich, and S. Wartzack, “Robust estimation of clinch joint
characteristics based on data-driven methods,” The International Journal of
Advanced Manufacturing Technology, 2022, doi: 10.1007/s00170-022-10441-7.'
mla: Zirngibl, Christoph, et al. “Robust Estimation of Clinch Joint Characteristics
Based on Data-Driven Methods.” The International Journal of Advanced Manufacturing
Technology, Springer Science and Business Media LLC, 2022, doi:10.1007/s00170-022-10441-7.
short: C. Zirngibl, B. Schleich, S. Wartzack, The International Journal of Advanced
Manufacturing Technology (2022).
date_created: 2022-12-14T12:24:29Z
date_updated: 2023-01-02T11:14:26Z
department:
- _id: '630'
doi: 10.1007/s00170-022-10441-7
keyword:
- Industrial and Manufacturing Engineering
- Computer Science Applications
- Mechanical Engineering
- Software
- Control and Systems Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s00170-022-10441-7
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
issn:
- 0268-3768
- 1433-3015
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Robust estimation of clinch joint characteristics based on data-driven methods
type: journal_article
user_id: '14931'
year: '2022'
...
---
_id: '25556'
abstract:
- lang: eng
text: AbstractIn order to reduce fuel consumption
and thus pollutant emissions, the automotive industry is increasingly developing
lightweight construction concepts that are accompanied by an increasing usage
of aluminum materials. Due to poor weldability of aluminum in combination with
other materials, mechanical joining methods such as clinching were developed and
established in series production. In order to predict the relevant characteristics
of clinched joints and to ensure the reliability of the process, it is simulated
numerically during product development processes. In this regard, the predictive
accuracy of the simulated process highly depends on the implemented friction model.
In particular, the frictional behavior between the sheet metals as well as between
the sheet metal and clinching tools has a significant impact on the geometrical
formation of the clinched joint. No testing methods exist that can sufficiently
investigate the frictional behavior in sheet materials, especially under high
interface pressures, different relative velocities, and long friction paths, while
allowing a decoupled consideration of the test parameters. This paper describes
the development of further testing concepts based on a proven tribo-torsion test
method for determining friction coefficients between sheet metal materials for
the simulation of clinching processes. For this purpose, the correlation of interface
pressure and the relative velocity between aluminum and steel sheet material in
clinching processes is investigated using numerical simulation. Based on these
findings, the developed concepts focus on determining friction coefficients at
interface pressures of the above materials, yield stress, as well as the reproduction
of the occurring friction conditions between sheet metal materials and tool surfaces
in clinching processes using tool substitutes. Furthermore, wear investigations
between sheet metal material and tool surface were carried out in the friction
tests with subsequent EDX analyses of the frictioned tool surfaces. The developed
method also allows an optical deformation measurement of the sheet metal material
specimen by means of digital image correlation (DIC). Based on a methodological
approach, the test setups and the test systems used are explained, and the functionality
of the concepts is proven by experimental tests using different sheet metal materials.
author:
- first_name: Max
full_name: Böhnke, Max
id: '45779'
last_name: Böhnke
- first_name: Moritz Sebastian
full_name: Rossel, Moritz Sebastian
id: '44503'
last_name: Rossel
- first_name: Christian Roman
full_name: Bielak, Christian Roman
id: '34782'
last_name: Bielak
- first_name: Mathias
full_name: Bobbert, Mathias
id: '7850'
last_name: Bobbert
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
citation:
ama: Böhnke M, Rossel MS, Bielak CR, Bobbert M, Meschut G. Concept development of
a method for identifying friction coefficients for the numerical simulation of
clinching processes. The International Journal of Advanced Manufacturing Technology.
Published online 2021. doi:10.1007/s00170-021-07986-4
apa: Böhnke, M., Rossel, M. S., Bielak, C. R., Bobbert, M., & Meschut, G. (2021).
Concept development of a method for identifying friction coefficients for the
numerical simulation of clinching processes. The International Journal of Advanced
Manufacturing Technology. https://doi.org/10.1007/s00170-021-07986-4
bibtex: '@article{Böhnke_Rossel_Bielak_Bobbert_Meschut_2021, title={Concept development
of a method for identifying friction coefficients for the numerical simulation
of clinching processes}, DOI={10.1007/s00170-021-07986-4},
journal={The International Journal of Advanced Manufacturing Technology}, author={Böhnke,
Max and Rossel, Moritz Sebastian and Bielak, Christian Roman and Bobbert, Mathias
and Meschut, Gerson}, year={2021} }'
chicago: Böhnke, Max, Moritz Sebastian Rossel, Christian Roman Bielak, Mathias Bobbert,
and Gerson Meschut. “Concept Development of a Method for Identifying Friction
Coefficients for the Numerical Simulation of Clinching Processes.” The International
Journal of Advanced Manufacturing Technology, 2021. https://doi.org/10.1007/s00170-021-07986-4.
ieee: 'M. Böhnke, M. S. Rossel, C. R. Bielak, M. Bobbert, and G. Meschut, “Concept
development of a method for identifying friction coefficients for the numerical
simulation of clinching processes,” The International Journal of Advanced Manufacturing
Technology, 2021, doi: 10.1007/s00170-021-07986-4.'
mla: Böhnke, Max, et al. “Concept Development of a Method for Identifying Friction
Coefficients for the Numerical Simulation of Clinching Processes.” The International
Journal of Advanced Manufacturing Technology, 2021, doi:10.1007/s00170-021-07986-4.
short: M. Böhnke, M.S. Rossel, C.R. Bielak, M. Bobbert, G. Meschut, The International
Journal of Advanced Manufacturing Technology (2021).
date_created: 2021-10-06T10:39:08Z
date_updated: 2023-01-17T09:01:52Z
department:
- _id: '157'
- _id: '630'
doi: 10.1007/s00170-021-07986-4
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s00170-021-07986-4
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '131'
name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '135'
name: 'TRR 285 – A01: TRR 285 - Subproject A01'
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
issn:
- 0268-3768
- 1433-3015
publication_status: published
quality_controlled: '1'
status: public
title: Concept development of a method for identifying friction coefficients for the
numerical simulation of clinching processes
type: journal_article
user_id: '45779'
year: '2021'
...
---
_id: '24739'
abstract:
- lang: eng
text: AbstractIn order to reduce fuel consumption
and thus pollutant emissions, the automotive industry is increasingly developing
lightweight construction concepts that are accompanied by an increasing usage
of aluminum materials. Due to poor weldability of aluminum in combination with
other materials, mechanical joining methods such as clinching were developed and
established in series production. In order to predict the relevant characteristics
of clinched joints and to ensure the reliability of the process, it is simulated
numerically during product development processes. In this regard, the predictive
accuracy of the simulated process highly depends on the implemented friction model.
In particular, the frictional behavior between the sheet metals as well as between
the sheet metal and clinching tools has a significant impact on the geometrical
formation of the clinched joint. No testing methods exist that can sufficiently
investigate the frictional behavior in sheet materials, especially under high
interface pressures, different relative velocities, and long friction paths, while
allowing a decoupled consideration of the test parameters. This paper describes
the development of further testing concepts based on a proven tribo-torsion test
method for determining friction coefficients between sheet metal materials for
the simulation of clinching processes. For this purpose, the correlation of interface
pressure and the relative velocity between aluminum and steel sheet material in
clinching processes is investigated using numerical simulation. Based on these
findings, the developed concepts focus on determining friction coefficients at
interface pressures of the above materials, yield stress, as well as the reproduction
of the occurring friction conditions between sheet metal materials and tool surfaces
in clinching processes using tool substitutes. Furthermore, wear investigations
between sheet metal material and tool surface were carried out in the friction
tests with subsequent EDX analyses of the frictioned tool surfaces. The developed
method also allows an optical deformation measurement of the sheet metal material
specimen by means of digital image correlation (DIC). Based on a methodological
approach, the test setups and the test systems used are explained, and the functionality
of the concepts is proven by experimental tests using different sheet metal materials.
article_type: original
author:
- first_name: Max
full_name: Böhnke, Max
last_name: Böhnke
- first_name: Moritz
full_name: Rossel, Moritz
last_name: Rossel
- first_name: Christian R.
full_name: Bielak, Christian R.
last_name: Bielak
- first_name: Mathias
full_name: Bobbert, Mathias
last_name: Bobbert
- first_name: Gerson
full_name: Meschut, Gerson
last_name: Meschut
citation:
ama: Böhnke M, Rossel M, Bielak CR, Bobbert M, Meschut G. Concept development of
a method for identifying friction coefficients for the numerical simulation of
clinching processes. The International Journal of Advanced Manufacturing Technology.
Published online 2021. doi:10.1007/s00170-021-07986-4
apa: Böhnke, M., Rossel, M., Bielak, C. R., Bobbert, M., & Meschut, G. (2021).
Concept development of a method for identifying friction coefficients for the
numerical simulation of clinching processes. The International Journal of Advanced
Manufacturing Technology. https://doi.org/10.1007/s00170-021-07986-4
bibtex: '@article{Böhnke_Rossel_Bielak_Bobbert_Meschut_2021, title={Concept development
of a method for identifying friction coefficients for the numerical simulation
of clinching processes}, DOI={10.1007/s00170-021-07986-4},
journal={The International Journal of Advanced Manufacturing Technology}, author={Böhnke,
Max and Rossel, Moritz and Bielak, Christian R. and Bobbert, Mathias and Meschut,
Gerson}, year={2021} }'
chicago: Böhnke, Max, Moritz Rossel, Christian R. Bielak, Mathias Bobbert, and Gerson
Meschut. “Concept Development of a Method for Identifying Friction Coefficients
for the Numerical Simulation of Clinching Processes.” The International Journal
of Advanced Manufacturing Technology, 2021. https://doi.org/10.1007/s00170-021-07986-4.
ieee: 'M. Böhnke, M. Rossel, C. R. Bielak, M. Bobbert, and G. Meschut, “Concept
development of a method for identifying friction coefficients for the numerical
simulation of clinching processes,” The International Journal of Advanced Manufacturing
Technology, 2021, doi: 10.1007/s00170-021-07986-4.'
mla: Böhnke, Max, et al. “Concept Development of a Method for Identifying Friction
Coefficients for the Numerical Simulation of Clinching Processes.” The International
Journal of Advanced Manufacturing Technology, 2021, doi:10.1007/s00170-021-07986-4.
short: M. Böhnke, M. Rossel, C.R. Bielak, M. Bobbert, G. Meschut, The International
Journal of Advanced Manufacturing Technology (2021).
date_created: 2021-09-21T07:37:02Z
date_updated: 2023-01-17T09:01:35Z
doi: 10.1007/s00170-021-07986-4
language:
- iso: eng
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
issn:
- 0268-3768
- 1433-3015
publication_status: published
quality_controlled: '1'
status: public
title: Concept development of a method for identifying friction coefficients for the
numerical simulation of clinching processes
type: journal_article
user_id: '45779'
year: '2021'
...