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钛合金切削过程具有温度高、摩擦力大、刀具严重磨损等缺点。为了减少钛合金表面出现微小裂纹,基于国内外研究现状,以Ti6Al4V切削表面残余应力为研究对象,建立了钛合金切削有限元模型。讨论了切削速度、切削深度、每齿进给量、不同切削用量对切削表面残余应力的影响。建立了切削表面残余应力回归模型,并采用混合遗传退火算法对切削参数进行优化,得到了最优切削参数组合。研究表明:切削速度增加,钛合金表面残余应力增加;切削深度对残余应力的影响较小;残余应力随着每齿进给量增加而减小。
Titanium cutting process with high temperature, friction, wear and tear and other shortcomings. In order to reduce the appearance of tiny cracks on the surface of titanium alloy, based on the research status at home and abroad, the residual stress of the cutting surface of Ti6Al4V was taken as research object, and the finite element model of titanium alloy cutting was established. The effects of cutting speed, cutting depth, feed per tooth and residual cutting force on cutting surface residual stress are discussed. A regression model of residual stress on the cutting surface was established, and the hybrid genetic annealing algorithm was used to optimize the cutting parameters. The optimal combination of cutting parameters was obtained. The results show that the cutting speed increases and the residual stress increases on the surface of titanium alloy. The depth of cut has little effect on the residual stress. The residual stress decreases with the increase of feed per tooth.