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刀具的螺旋角、径向与轴向切削深度对铣削稳定均匀性具有较大的相关性营销。利用方差解析的方法进行实验分析,并实证构建多元线性最小二乘法回归切削力预测模型。本文检测预测模型拟合程度和输入变量的影响力程度,假定目标函数,并借鉴遗传算法分析切削力预测模型。根据交叉变异遗传选择的操作,利用程序优化刀具几何参数和切削变量。结论是:金属去除率越大选择最好的轴向切削深度,径向切削深度,螺旋角组合以获得最小切削力是可能的。
Tool helix angle, radial and axial depth of cut on the milling stability and stability of a greater correlation between marketing. Variance analysis method is used to carry out experimental analysis and empirical multivariate linear least squares regression cutting force prediction model. This paper examines the degree of influence of the prediction model fitting degree and the input variables, assumes the objective function, and uses the genetic algorithm to analyze the cutting force prediction model. Based on the crossover genetic selection operation, the program is used to optimize tool geometry and cutting variables. The conclusion is: the larger the metal removal rate, it is possible to select the best axial cutting depth, radial cutting depth, and helix angle to obtain the minimum cutting force.