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The optimal cutting-parameter selection of heavy cutting process in side milling for SUS304 stainless steel

机译:SUS304不锈钢侧铣重切削工艺的最佳切削参数选择

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摘要

This paper presents an optimal cutting-parameter design of heavy cutting in side milling for SUS304 stainless steel. The orthogonal array with grey-fuzzy logics is applied to optimize the side milling process with multiple performance characteristics. A grey-fuzzy reasoning grade obtained from the grey-fuzzy logics analysis is used as a performance index to determine the optimal cutting parameters. The selected cutting parameters are spindle speed, feed per tooth, axial depth of cut and radial depth of cut, while the considered performance characteristics are tool life and metal removal rate. The results of confirmation experiments reveal that grey-fuzzy logics can effectively acquire an optimal combination of the cutting parameters. Hence, performance in the side milling process for heavy cutting can be significantly improved through this approach.
机译:本文介绍了SUS304不锈钢侧铣中重切削的最佳切削参数设计。具有灰色模糊逻辑的正交阵列用于优化具有多种性能特征的侧铣加工。从灰色模糊逻辑分析获得的灰色模糊推理等级被用作确定最佳切削参数的性能指标。选择的切削参数为主轴转速,每齿进给量,轴向切削深度和径向切削深度,而考虑的性能特征为刀具寿命和金属去除率。确认实验的结果表明,灰色模糊逻辑可以有效地获取切削参数的最佳组合。因此,通过这种方法可以大大提高侧铣过程中用于重切削的性能。

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