Effects of cutting parameters on temperature and temperature prediction in micro-milling of Inconel 718

Q3 Engineering
Xiaohong Lu, Hua Wang, Zhenyuan Jia, Yixuan Feng, S. Liang
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引用次数: 2

Abstract

Inconel 718 is a kind of typical difficult-to-machine material. Micro-milling technology is an effective method for fabricating micro parts of Inconel 718. The change rules of micro-milling temperature differ from those of the traditional processing, which will affect the surface integrity of the workpiece and the tool life of the micro-milling cutter in different ways. To ascertain the effects of cutting parameters on cutting temperature during micro-milling Inconel 718 and achieve the prediction of cutting temperature, some micro-milling experiments are conducted based on the response surface method. The independent and interaction effects of the spindle speed, feed per tooth and axial cutting depth on cutting temperature are investigated. A micro-milling temperature prediction model is established based on the experiment results. The maximum prediction error is 5.3% and the average prediction error is 2.6%. Finally, the accuracy of the proposed model is validated through experiments of micro-milling Inconel 718.
切削参数对Inconel 718微铣削温度及温度预测的影响
铬镍铁合金718是一种典型的难加工材料。微铣削技术是制备铬镍铁合金718微零件的有效方法。微铣削温度的变化规律与传统加工不同,会以不同的方式影响工件的表面完整性和微铣刀的刀具寿命。为了确定微铣削Inconel 718过程中切削参数对切削温度的影响,实现切削温度的预测,基于响应面法进行了一些微铣削实验。研究了主轴转速、齿进给量和轴向切削深度对切削温度的独立影响和相互作用。根据实验结果建立了微铣削温度预测模型。最大预测误差为5.3%,平均预测误差为2.6%。最后,通过微铣削Inconel 718的实验验证了该模型的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Nanomanufacturing
International Journal of Nanomanufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
0.60
自引率
0.00%
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