Numerical investigation of the clinched joint loadings considering the initial pre-strain in the joining area

S. Martin, C.R. Bielak, M. Bobbert, T. Tröster, G. Meschut, Production Engineering (2022).

Journal Article | Published | English
Abstract
The components of a body in white consist of many individual thin-walled sheet metal parts, which usually are manufactured in deep-drawing processes. In general, the conditions in a deep-drawing process change due to changing tribology conditions, varying degrees of spring back, or scattering material properties in the sheet blanks, which affects the resulting pre-strain. Mechanical joining processes, especially clinching, are influenced by these process-related pre-strains. The final geometric shape of a clinched joint is affected to a significant level by the prior material deformation when joining with constant process parameters. That leads to a change in the stiffness and force transmission in the clinched joint due to the different geometric dimensions, such as interlock, neck thickness and bottom thickness, which directly affect the load bearing capacity. Here, the influence of the pre-straining in the deep drawing process on the force distribution in clinch points in an automotive assembly is investigated by finite-element models numerically. In further studies, the results are implemented in an optimization tool for designing clinched components. The methodology starts with a pre-straining of metal sheets. This step is followed by 2D rotationally symmetric forming simulations of the joining process. The resulting mesh of each forming simulation is rotated and 3D models are obtained. The clinched joint solid model with pre-strains is used further to determine the joint stiffnesses. With the simulation of the same test set-up with an equivalent point-connector model, the equivalent stiffness for each pre-strain combination is determined. Simulations are performed on a clinched component to assess the influence of pre-strain and sheet thinning on the clinched joint loadings by using the equivalent stiffnesses. The investigations clearly show that for the selected component, the loadings at the clinch points are dependent on the sheet thinning and the stiffnesses due to pre-strain. The magnitude of the influence varies depending on the quantity considered. For example, the shear force is more sensitive to the joint stiffness than to the sheet thinning.</jats:p>
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Production Engineering
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Martin S, Bielak CR, Bobbert M, Tröster T, Meschut G. Numerical investigation of the clinched joint loadings considering the initial pre-strain in the joining area. Production Engineering. Published online 2022. doi:10.1007/s11740-021-01103-w
Martin, S., Bielak, C. R., Bobbert, M., Tröster, T., & Meschut, G. (2022). Numerical investigation of the clinched joint loadings considering the initial pre-strain in the joining area. Production Engineering. https://doi.org/10.1007/s11740-021-01103-w
@article{Martin_Bielak_Bobbert_Tröster_Meschut_2022, title={Numerical investigation of the clinched joint loadings considering the initial pre-strain in the joining area}, DOI={10.1007/s11740-021-01103-w}, journal={Production Engineering}, publisher={Springer Science and Business Media LLC}, author={Martin, Sven and Bielak, Christian Roman and Bobbert, Mathias and Tröster, Thomas and Meschut, Gerson}, year={2022} }
Martin, Sven, Christian Roman Bielak, Mathias Bobbert, Thomas Tröster, and Gerson Meschut. “Numerical Investigation of the Clinched Joint Loadings Considering the Initial Pre-Strain in the Joining Area.” Production Engineering, 2022. https://doi.org/10.1007/s11740-021-01103-w.
S. Martin, C. R. Bielak, M. Bobbert, T. Tröster, and G. Meschut, “Numerical investigation of the clinched joint loadings considering the initial pre-strain in the joining area,” Production Engineering, 2022, doi: 10.1007/s11740-021-01103-w.
Martin, Sven, et al. “Numerical Investigation of the Clinched Joint Loadings Considering the Initial Pre-Strain in the Joining Area.” Production Engineering, Springer Science and Business Media LLC, 2022, doi:10.1007/s11740-021-01103-w.
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