--- _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' ...