Under CopyrightJäckel, MathiasMathiasJäckel2022-03-1320.4.20172017https://publica.fraunhofer.de/handle/publica/39613810.24406/publica-fhg-396138-Sensitivity analysis of the influence of component properties and joining parameters on the joining result for self-pierce riveting -Possibilities to link mechanical joining technologies with the automotive process chain for quality and flexibility improvements -Potential of using machine learning to reduce automotive product development cycles in relation to mechanical joining -Datamining for machine learning at mechanical joiningenmechanical joiningFEM-Simulationmachine learningIndustrie 4.0620670conference paper