Papers by Author: L.J. Xie

Abstract: The prediction accuracy of the simulation of cutting process is related with the description of the nonlinear behavior of material at extremely high strain, strain rate and temperature in machining. In this paper, an integral Johnson-Cook model is presented to characterize the mechanical behavior of work materials in machining, and the parameters in the model are determined by fitting the data from both quasi-static compression and cutting tests. Then the material equation of 2Cr13 stainless steel is derived with this method and used in the finite element model of orthogonal cutting with carbide tools. At last, the simulation result is verified with experimental data.

Abstract: Many research show that in metal cutting process wear rate is dependent on the cutting process variables such as temperature at tool face, contact pressure (normal stress) and relative sliding velocity at tool/chip and tool/work interface; their relationship is described by “differential” wear rate model. Based on this “differential” wear rate model, a method to estimate tool wear in milling operation is proposed and the cutting process variables are predicted by performing chip formation analysis with FEM code ABAQUS/Explicit and heat transfer analysis with ABAQUS/Standard. The implementation is exemplified by estimating tool wear of carbide tools in milling of Ck45 work. Both progressive flank wear and crater wear profile are estimated.