【摘要】 整体硬质合金立铣刀高速铣削航空铝合金过程中,刀具螺旋角、轴向切深、径向切深对铣削均匀性有显著影响。应用全因子实验设计和多元线性回归技术建立了切削力预测模型,采用方差分析方法检验了预测模型的拟合度及各独立输入参数的显著性。应用遗传算法,以切削力预测模型为目标函数,通过基于遗传学的选择-交叉-变异操作,优化了刀具几何参数和切削参数。结果表明,在较大的金属去除率下选择出最佳的轴向切深-径向切深-螺旋角组合以获得最小的切削力是有可能的。更多还原

【Abstract】 During the high-speed milling operations of aeronautical aluminum alloy using solid carbide end mills,helical angle,axial and radial depthof-cut have significant effects on the milling uniformity.A predictive model of cutting force was developed by using a full-factorial experimental design and multi-linear regression technology.The variance analyses were applied to check the adequacy of the cutting force model and the significances of independent input parameters.Genetic algorithm was utilized to optimize the tool geometry and cutting parameters by means of a series of operations of selection,crossover and mutation based on genetics.The result shows that it is possible to select optimum axial depth-of-cut,radial depth-of-cut and helical angle for obtaining minimum cutting force and reasonably good metal removal rate.更多还原