Comprehensive evaluation of surface parameter correlation in running-in wear process

Abstract The first wear process is running-in, which a stage of each machine system must go through. friction pair’s surface topography an important feature the running-in process. After directly affects performance in stable working state. contact pair was focused on by mostly existing studies after time; however, we should consider correlation before and running-in. In fact, exploration this problem significantly to extend service life parts improve running performance. Based three-dimensional (3D) parameter evaluation method, study, experiments were designed analyze effect unworn that investigated 3D parameters. results demonstrated characterization parameters, i.e., Sa, Sq, Sv, Sdc, Str, Sdq, Sdr under different conditions maintained strong autocorrelation (the coefficient same parameter). Moreover, cross-correlation between parameters) among height parameters (Sq), hybrid (Sdq, Sdr), functional (Sdc, Sk) strong. roughness found study can be used as input output selection research based prediction modeling topography.