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2017
Conference Paper
Titel
Potentials of Industrie 4.0 and Machine Learning for Mechanical Joining
Alternative
Potenziale von Industrie 4.0 und Maschinellem Lernen für die Mechanische Fügetechnik
Abstract
-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 joining