{"department":[{"_id":"157"},{"_id":"630"}],"volume":63,"year":"2021","publisher":"De Gruyter","publication_status":"published","project":[{"name":"TRR 285: TRR 285","grant_number":"418701707","_id":"130"},{"name":"TRR 285 - A: TRR 285 - Project Area A","_id":"131"},{"name":"TRR 285 - C: TRR 285 - Project Area C","_id":"133"},{"_id":"135","name":"TRR 285 – A01: TRR 285 - Subproject A01"},{"name":"TRR 285 – C02: TRR 285 - Subproject C02","_id":"146"}],"status":"public","type":"journal_article","page":"493-500","user_id":"66459","intvolume":" 63","title":"Influence of various procedures for the determination of flow curves on the predictive accuracy of numerical simulations for mechanical joining processes","author":[{"first_name":"Max","id":"45779","last_name":"Böhnke","full_name":"Böhnke, Max"},{"id":"66459","first_name":"Fabian","last_name":"Kappe","full_name":"Kappe, Fabian"},{"last_name":"Bobbert","full_name":"Bobbert, Mathias","first_name":"Mathias","id":"7850"},{"id":"32056","first_name":"Gerson","last_name":"Meschut","full_name":"Meschut, Gerson","orcid":"0000-0002-2763-1246"}],"language":[{"iso":"eng"}],"publication":"Materials Testing","_id":"22798","citation":{"ama":"Böhnke M, Kappe F, Bobbert M, Meschut G. Influence of various procedures for the determination of flow curves on the predictive accuracy of numerical simulations for mechanical joining processes. Materials Testing. 2021;63(6):493-500. doi:10.1515/mt-2020-0082","short":"M. Böhnke, F. Kappe, M. Bobbert, G. Meschut, Materials Testing 63 (2021) 493–500.","chicago":"Böhnke, Max, Fabian Kappe, Mathias Bobbert, and Gerson Meschut. “Influence of Various Procedures for the Determination of Flow Curves on the Predictive Accuracy of Numerical Simulations for Mechanical Joining Processes.” Materials Testing 63, no. 6 (2021): 493–500. https://doi.org/10.1515/mt-2020-0082.","ieee":"M. Böhnke, F. Kappe, M. Bobbert, and G. Meschut, “Influence of various procedures for the determination of flow curves on the predictive accuracy of numerical simulations for mechanical joining processes,” Materials Testing, vol. 63, no. 6, pp. 493–500, 2021, doi: 10.1515/mt-2020-0082.","bibtex":"@article{Böhnke_Kappe_Bobbert_Meschut_2021, title={Influence of various procedures for the determination of flow curves on the predictive accuracy of numerical simulations for mechanical joining processes}, volume={63}, DOI={10.1515/mt-2020-0082}, number={6}, journal={Materials Testing}, publisher={De Gruyter}, author={Böhnke, Max and Kappe, Fabian and Bobbert, Mathias and Meschut, Gerson}, year={2021}, pages={493–500} }","apa":"Böhnke, M., Kappe, F., Bobbert, M., & Meschut, G. (2021). Influence of various procedures for the determination of flow curves on the predictive accuracy of numerical simulations for mechanical joining processes. Materials Testing, 63(6), 493–500. https://doi.org/10.1515/mt-2020-0082","mla":"Böhnke, Max, et al. “Influence of Various Procedures for the Determination of Flow Curves on the Predictive Accuracy of Numerical Simulations for Mechanical Joining Processes.” Materials Testing, vol. 63, no. 6, De Gruyter, 2021, pp. 493–500, doi:10.1515/mt-2020-0082."},"quality_controlled":"1","issue":"6","date_updated":"2023-04-27T08:53:22Z","publication_identifier":{"issn":["2195-8572","0025-5300"]},"date_created":"2021-07-22T11:27:37Z","doi":"10.1515/mt-2020-0082","abstract":[{"lang":"eng","text":"The predictive quality of numerical simulations for mechanical joining processes depends on the implemented material model, especially regarding the plasticity of the joining parts. Therefore, experimental material characterization processes are conducted to determine the material properties of sheet metal and generate flow curves. In this regard, there are a number of procedures which are accompanied by varying experimental efforts. This paper presents various methods of determining flow curves for HCT590X as well as EN AW-6014, including varying specimen geometries and diverse hardening laws for extrapolation procedures. The flow curves thus generated are compared considering the variety of plastic strains occurring in mechanical joining processes. The material data generated are implemented in simulation models for the joining technologies, clinching and self-piercing riveting. The influence of the varied methods on the predictive accuracy of the simulation model is analysed. The evaluation of the differing flow curves is achieved by comparing the geometric formation of the joints and the required joining forces of the processes with experimentally investigated joints."}]}