Comprehensive evaluation of surface parameter correlation in running-in wear process(dataset).xlsx

Based on the three-dimensional (3D) surface morphology parameter evaluation method, in this study, experiments were designed to analyze the effect of the initial surface morphology on that after running-in, and investigated the correlation of 3D surface morphology parameters before and after running-in. The results demonstrated that the morphology characterization parameters, i.e., Sa, Sq, Sv, Sdc, Str, Sdq, and Sdr under different working conditions maintained a strong auto-correlation ( the correlation coefficient of the same parameter). Moreover, the cross-correlation (the correlation coefficient between different parameters) among height parameters (Sq), hybrid parameters (Sdq, Sdr), and functional parameters (Sdc, Sk) was strong. The results of the surface roughness parameters found in this study can be used as input and output feature selection research based on the pre-running-in working conditions and surface morphology prediction after running-in surface morphology modeling research.