In order to analyze the micro-milling machining characteristics of FeCoNiCrMn high entropy alloy,orthogonal test meth-od was used to investigate the influence of milling parameters such as spindle speed,feed per tooth and milling depth on its micro-mill-ing force.The prediction model of micro-milling force of FeCoNiCrMn high entropy alloy in all directions was established by multiple linear regression analysis.Taking the milling force and machining efficiency during the machining of FeCoNiCrMn high entropy alloy as the optimization objectives,a multi-objective optimization model was established,and the experimental milling parameters were opti-mised by particle swarm optimization algorithm.The results show that the optimised milling parameters using particle swarm algorithm not only reduce the milling force of the alloy,but also increase the material removal rate by 7.55％;when machining FeCoNiCrMn high entropy alloy,a larger spindle speed and feed per tooth as well as a lower depth of milling should be selected in order to effectively re-duce the milling force and improve the machining efficiency.
关键词
FeCoNiCrMn高熵合金/微铣削/参数优化/粒子群优化算法
Key words
FeCoNiCrMn high entropy alloy/micro-milling/parameter optimization/particle swarm optimization algorithm
维普
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