Multiscale Modeling and Hybrid Fuzzy Control of Decarburization in Grinding Hardening Processes

Abstract

Decarburization significantly affects the surface properties of workpiece after grinding hardening. To effectively control the decarburization during grinding hardening, a comprehensive control model of carbon content on the surface of grinding-hardened workpiece is established based on molecular dynamics and a fuzzy logic algorithm. Based on the removal mechanism of grinding, a molecular dynamics model of grinding hardening is established, a mass of data of the decarburization of grinding hardening is obtained, and the data of surface roughness, hardness, and residual stress of workpiece are obtained through a grinding hardening experiment. Based on the model and experimental data, using the fuzzy logic control module of MATLAB, the forward and reverse fuzzy logic control models of decarburization are established. The forward model effectively estimated the integrity parameters of the machined surface. The reverse model can realize comprehensive control of decarburization, which ensures a reasonable range of decarburization under the condition that other machined surface integrity parameters are suitable for various working conditions