Simple approach for testing distance detection during 3MA-II lift-off measurements on moving components based on PCA and SVM

In modern manufacturing processes, particularly in the field of precision engineering and material processing, non-destructive testing (NDT) methods play a crucial role in ensuring component quality and process reliability. The 3MA (Micromagnetic Multiparameter, Microstructure, and Stress Analysis) method stands out as a versatile approach for evaluating microstructural properties and residual stresses in ferromagnetic materials. Materials like 42CrMo4, a high-strength alloy steel commonly used in automotive and machinery components due to its excellent hardenability and fatigue resistance, are frequently subjected to such inspections to detect variations induced by machining operations. Challenges could arise from environmental factors inherent to dynamic manufacturing setups, including vibrations, thermal fluctuations,and variations in the distance between the probe head and the workpiece surface. The integration of 3MA measurements into in-line monitoring systems represents a significant advancement toward achieving real-time quality control in high-speed production environments. This paper suggests a simple approach for testing distance detection during 3MA-II lift-off measurements on moving components based on principle component analysis (PCA) and support vector machine (SVM).