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考虑性能指标动态变化的刀具参数与切削参数优化方法

Optimization Method of Tool Parameters and Cutting Parameters Considering Dynamic Change of Performance Indicators.

作者信息

Yue Daxun, Zhang Anshan, Yue Caixu, Liu Xianli, Li Mingxing, Hu Desheng

机构信息

Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.

出版信息

Materials (Basel). 2021 Oct 18;14(20):6181. doi: 10.3390/ma14206181.

Abstract

In the process of metal cutting, the cutting performance of cutting tools varies with different parameter combinations, so the results of the performance indicators studied are also different. So in order to achieve the best performance indicator it is necessary to get the best parameter matching combination. In addition, in the process of metal cutting, the value of the performance index is different at each stage of the processing process. In order to consider the cutting process more comprehensively, it is necessary to use a comprehensive evaluation method that can evaluate the dynamic process of performance indicators. This paper uses a dynamic evaluation method that considers the dynamic change of performance indicators in each stage of the cutting process to comprehensively evaluate the tool parameters and cutting parameters at each level. For the purpose of high processing efficiency and long tool life, tool wear rate and material removal rate are used as performance indicators. In the case of specified rake angle, cutting speed and cutting width, titanium alloy is studied by end milling cutter side milling. The tool parameters and cutting parameters in milling process are optimized by using a dynamic comprehensive evaluation method based on gain horizontal excitation. Finally, the parameter matching combination that can make the performance indicator reach the best is obtained. The results show that when the rake angle is 8°, the cutting speed is 37.68 m/min, and the cutting width is 0.2 mm, the tool wear rate and material removal rate are the best when the clearance angle is 9°, the helix angle is 30°, the feed per tooth is 0.15 mm/z, and the cutting depth is 2.5 mm.

摘要

在金属切削过程中,刀具的切削性能会随着不同的参数组合而变化,因此所研究的性能指标结果也各不相同。所以,为了获得最佳性能指标,有必要得到最佳的参数匹配组合。此外,在金属切削过程中,加工过程各阶段的性能指标值是不同的。为了更全面地考虑切削过程,需要使用一种能够评估性能指标动态过程的综合评价方法。本文采用一种考虑切削过程各阶段性能指标动态变化的动态评价方法,对各水平的刀具参数和切削参数进行综合评价。为了实现高加工效率和长刀具寿命的目的,将刀具磨损率和材料去除率作为性能指标。在规定前角、切削速度和切削宽度的情况下,采用端铣刀侧铣对钛合金进行研究。利用基于增益水平激励的动态综合评价方法对铣削过程中的刀具参数和切削参数进行优化。最终得到了能使性能指标达到最佳的参数匹配组合。结果表明,当前角为8°、切削速度为37.68 m/min、切削宽度为0.2 mm时,当后角为9°、螺旋角为30°、每齿进给量为0.15 mm/z、切削深度为2.5 mm时,刀具磨损率和材料去除率最佳。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef88/8538737/b864a95844a4/materials-14-06181-g001.jpg

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本文引用的文献

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Temperature prediction of ultrasonic vibration-assisted milling.
Ultrasonics. 2020 Dec;108:106212. doi: 10.1016/j.ultras.2020.106212. Epub 2020 Jun 20.

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