Micromagnetic Automatic Detection Method for Mechanical Properties of Automobile B-Pillar

B-pillar structural part is the key component of lightweight automobile body structure. To possess good strength and plastic fit, B-pillar generally has gradient characteristics of mechanical properties along its length, and there is a characteristic transitional range from high strength and low elongation hard parts to low strength and high elongation soft parts. To detect the local mechanical properties, the destructive sampling method is conventionally used for evaluating the mechanical properties of the transition region of automobile B-pillar. It is time-consuming and impossible to directly conduct rapid non-destructive testing of parts. Hence, a micromagnetic automatic detection system for the B-pillar of the body structure is developed to realize the non-destructive evaluation of the mechanical properties of the transition region. The BP neural network model is established by the magnetic characteristic parameters and mechanical performance indicators obtained from the B-pillar. It helps to realize the quantitative characterization of the mechanical properties of the transition region of the B-pillar structural part of an automobile, which has important engineering application prospects.