Orthogonal Test Analysis and Modeling of GCr15 Bearing Steel Machined Surface Residual Stress in Hard Precision Turning

Abstract

Orthogonal experimental analysis of GCr15 bearing steel residual stress in machined surface is carried out; Based on 1stOpt software, Using the Marquardt method and universal global optimization algorithm established Multivariate nonlinear prediction model of residual stress in machined surface. There sults of the experiment show that With the increase of cutting speed, the residual tensile stress showed a trend of increasing first and then decreasing; With the increase of feed rate, the residual tensile stress decreases first and then increases, and the residual compressive stress first increases and then decreases; With the increase of cutting depth, residual tensile stress increased slowly (compressive stress decreases); With the increase of the radius, the residual tensile stress increases (compressive stress decreases). The increase of cutting vibration makes the residual tensile stress increase or decrease of the residual compressive stress. Through the test and analysis, the establishment of the prediction model fitting degree is excellent and has statistical significance.