Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters

M.S. Rossel, G. Meschut, in: 2022.

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Conference Abstract | English
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Conference
The 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (NUMISHEET 2022)
Conference Location
Toronto
Conference Date
2022-07-10 – 2022-07-14
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Rossel MS, Meschut G. Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters. In: ; 2022.
Rossel, M. S., & Meschut, G. (2022). Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters. The 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (NUMISHEET 2022), Toronto.
@inproceedings{Rossel_Meschut_2022, title={Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters}, author={Rossel, Moritz Sebastian and Meschut, Gerson}, year={2022} }
Rossel, Moritz Sebastian, and Gerson Meschut. “Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters,” 2022.
M. S. Rossel and G. Meschut, “Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters,” presented at the The 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (NUMISHEET 2022), Toronto, 2022.
Rossel, Moritz Sebastian, and Gerson Meschut. Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters. 2022.

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