Zhao Xingfu, Wang Yanzhong, Jin Lin, Zhao Zemin, Yue Daxun, Wang Yuyuan, Wang Zengcheng, Dai Zongxu
School of Mechanical Engineering & Automation, Beihang University, Beijing 100083, China.
AECC Harbin Dongan Engine Co., Ltd., Harbin 150066, China.
Materials (Basel). 2024 Jun 4;17(11):2744. doi: 10.3390/ma17112744.
In the cutting process, there are many parameters that affect the cutting effect, and the same parameter has different degrees of influence on different performance indicators, which makes it difficult to select key parameters for parameter optimization and parameter combination evaluation while considering multiple performance indicators at the same time. The process of titanium alloy milling with an integrated end mill is studied herein. The values of cutting tool flank face wear and material removal rates are obtained with experimental and analytical methods. Numerical characteristics and causes of the cutting tool flank face wear at different stages are also analyzed. The dynamic, comprehensive evaluation method based on the double incentives model is used to evaluate the dynamic, comprehensive importance of cutting parameters in view of the problem of considering multiple performance indicators and the characteristics of the dynamic change in performance indicators in the cutting process. According to the result of a dynamic, comprehensive evaluation, the cutting parameters with the highest comprehensive importance are selected. Finally, the radar map is used to plot the comprehensive importance of the cutting parameters. The overall comprehensive importance of each cutting parameter is intuitively displayed as well. As a result of the research, the dynamic, comprehensive evaluation method based on the double incentives model has a good application value in the evaluation of tool performance in the cutting process and can quickly select the best tool performance parameter combination; it is established that the most comprehensive parameter is the cutting speed, and the cutting width is the second most important. In turn, the comprehensive importance of the cutting depth is the lowest.
在切削过程中,有许多参数会影响切削效果,且同一参数对不同性能指标的影响程度不同,这使得在同时考虑多个性能指标时,难以选择用于参数优化和参数组合评估的关键参数。本文研究了整体立铣刀铣削钛合金的过程。通过实验和分析方法获得了刀具后刀面磨损值和材料去除率。还分析了不同阶段刀具后刀面磨损的数值特征及原因。针对切削过程中考虑多个性能指标的问题以及性能指标动态变化的特点,采用基于双激励模型的动态综合评价方法来评估切削参数的动态综合重要性。根据动态综合评价结果,选择综合重要性最高的切削参数。最后,利用雷达图绘制切削参数的综合重要性,各切削参数的整体综合重要性也直观地显示出来。研究结果表明,基于双激励模型的动态综合评价方法在切削过程刀具性能评价中具有良好的应用价值,能够快速选择最佳刀具性能参数组合;确定综合重要性最高的参数是切削速度,其次是切削宽度,切削深度的综合重要性最低。