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Prediction Of Cutting Force By Numerical Solution And Statistic Method In End-Milling Operation.

机译：端铣操作中数值解和统计法的切削力预测。

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The present paper discusses the development of the first order models and finite element analysis for predicting the cutting udforce produced in end-milling operation of modified AISI P20 tool steel. The first order cutting force equations are developed using the udresponse surface methodology (RSM) to study the effect of four input cutting parameters (cutting speed, feed rate, radial depth and axial uddepth of cut) on cutting force. The cutting force contours with respect to input parameters are shown and the predictive models analyses are udperformed with the aid of the statistical software package Minitab. The predictive models in this study are believed to produce values of the udlongitudinal component of the cutting force close to those readings recorded experimentally with a 95% confident interval. Explicit code udThirdwave AdvantEdge has been used to estimate cutting and thrust forces. These estimated results are compared with experiments udperformed in this study and predictive model developed in this paper. The result from the simulation results are agreed with experimental udvalue and predictive value from RSM.
机译：本文讨论了用于预测改进的AISI P20工具钢的端铣加工中产生的切削力的一阶模型和有限元分析的开发。一阶切削力方程是使用 udresponse曲面方法（RSM）开发的，用于研究四个输入切削参数（切削速度，进给速度，切削的径向深度和轴向 uddepth）对切削力的影响。显示了相对于输入参数的切削力轮廓，并借助统计软件包Minitab对预测模型进行了分析。据信，该研究中的预测模型产生的切削力的纵向分量值接近以95％置信区间通过实验记录的读数。显式代码 udThirdwave AdvantEdge已用于估计切削力和推力。将这些估计的结果与本研究中进行的实验和本文开发的预测模型进行比较。仿真结果与RSM的实验 udvalue和预测值一致。

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