论文部分内容阅读
选择切削深度、进给量和切削速度为评价因子,表面粗糙度、切削力和材料去除率为评价指标,应用正交法设计切削试验.基于试验数据,分别运用模糊关系综合评价法和模糊向量单值化法这两种模糊分析方法对切削参数进行综合评价,并获得了一致的结果;运用响应面法(RSM)建立综合评价预测模型并验证模型的准确性.研究表明,采用模糊分析方法进行基于多指标的切削参数优化有较好的应用效果.图1,表10,参11.
Select the cutting depth, feed rate and cutting speed as the evaluation factor, surface roughness, cutting force and material removal rate as the evaluation index, the orthogonal test was used to design the cutting test.Based on the test data, fuzzy comprehensive evaluation and fuzzy vector The single fuzzy method and the single value method are used to evaluate the cutting parameters comprehensively and obtain the same result.The response surface method (RSM) is used to establish the comprehensive evaluation model and verify the accuracy of the model.The research shows that the fuzzy analysis method The optimization of cutting parameters based on multi-index has better application effect.Figure 1, Table 10, Reference 11.