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13 Publications


2023 | Journal Article | LibreCat-ID: 45557
Rossel, M. S., & Meschut, G. (2023). Prozesskettensimulation für das Clinchen mit beweglicher Matrize. BLECHE+ROHRE+PROFILE, 02/2023.
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2023 | Book | LibreCat-ID: 46812
Rossel, M. S., & Meschut, G. (2023). Methodenentwicklung zur verbesserten Prognosegüte beim Clinchen mit beweglicher Matrize in der numerischen Fügeprozesssimulation (Vol. 598). Europäische Forschungsgesellschaft für Blechverarbeitung e.V.
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2022 | Book | LibreCat-ID: 30102
Rossel, M. S., & Meschut, G. (2022). Methodenentwicklung für die Simulation mechanischer Fügeprozesse mit besonderer Berücksichtigung fügespezifischer Reibverhältnisse (Vol. 573). Europäische Forschungsgesellschaft für Blechverarbeitung e.V.
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2022 | Conference Paper | LibreCat-ID: 32388
Rossel, M. S., & Meschut, G. (2022). Method development for increasing the prediction quality of mechanical joining process simulations by friction modeling based on local joining process parameters. Proceedings of the 6th Conference on Steels in Cars and Trucks. 6th International Conference on Steels in Cars and Trucks , Milan.
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2022 | Journal Article | LibreCat-ID: 30884
Rossel, M. S., & Meschut, G. (2022). Investigation of the friction conditions of self-pierce rivets by means of a compression-torsion tribometer. Production Engineering. https://doi.org/10.1007/s11740-022-01126-x
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2022 | Journal Article | LibreCat-ID: 30736
Rossel, M. S., & Meschut, G. (2022). Increasing the accuracy of clinching process simulations by modeling the friction as a function of local joining process parameters. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, Article 146442072210742. https://doi.org/10.1177/14644207221074290
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2022 | Conference Abstract | LibreCat-ID: 32389
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.
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2021 | Conference Paper | LibreCat-ID: 28443
Rossel, M. S., & Meschut, G. (2021). Steigerung der Prognosegüte mechanischer Fügeprozesssimulationen durch den Einsatz einer fügespezifischen Reibmodellierung basierend auf einer experimentellen Parametrisierung. In FOSTA, EFB, DVS (Ed.), 11. Fügetechnisches Gemeinschaftskolloquium.
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2021 | Journal Article | LibreCat-ID: 25556 | OA
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
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2021 | Journal Article | LibreCat-ID: 34227
Rossel, M. S., Böhnke, M., Bielak, C. R., Bobbert, M., & Meschut, G. (2021). Development of a Method for the Identification of Friction Coefficients in Sheet Metal Materials for the Numerical Simulation of Clinching Processes. Key Engineering Materials, 883, 81–88. https://doi.org/10.4028/www.scientific.net/kem.883.81
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2021 | Conference Paper | LibreCat-ID: 21811
Rossel, M. S., Böhnke, M., Bielak, C. R., Bobbert, M., & Meschut, G. (2021). Development of a Method for the Identification of Friction Coefficients in Sheet Metal Materials for the Numerical Simulation of Clinching Processes. Sheet Metal 2021, 883, 81–88. https://doi.org/10.4028/www.scientific.net/KEM.883.81
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2020 | Journal Article | LibreCat-ID: 20691
Otroshi, M., Rossel, M. S., & Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, Article 100015. https://doi.org/10.1016/j.jajp.2020.100015
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2019 | Book Chapter | LibreCat-ID: 20692
Bangel, M., Neubauer, M., Kuhlmann, M., Rossel, M. S., Klostermann, H., Rablbauer, R., & Weber, M. (2019). ELOBEV - Erforschung von elektrolytischen Beschichtungssystemen für Verbindungselemente aus höchstfesten Werkstoffen. In DGO, Deutsche Gesellschaft für Galvano- und Oberflächentechnik e.V. (Ed.), Projektband  der BMBF-Förderinitiative Innovative Elektrochemie mit  neuen Materialien – InnoEMat (pp. 29–35). Haan/Rhld.: Wölfer Druck+Media.
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