Research on cutting temperature of work-piece in milling process based on WPSO

Abstract

This work focuses on investigating the time dependence distribution of work-piece cutting temperature during milling process. The mathematical model of heat conduction problem has been obtained according to the basic characteristics of the milling process. A method of using weight particle swarm optimization (WPSO) to identify the heat flux has been established based on inverse heat conduction problem. Also, the distribution of cutting temperature of AISI1045 steel under the certain milling conditions has been studied by combining with the experimental data. Analysis results indicate that the global maximum and minimum heat flux are 2.856E6 and 2.823E6 W/(m2 °C), respectively, and the maximum fitness value of optimal position is 65.6385. Furthermore, the interfacial heat flux appears at three obvious non-linear stages, at the beginning of milling process there is a slow temperature rising platform period, and after this platform, the interface temperature between tool and work-piece rises rapidly, with a maximum temperature of about 860 °C. The maximum deviation between calculated and measured values is about 11.06 %. Results achieved in this paper show that the established method in this paper can be used to investigate the temperature distribution accurately during milling process.