高速切削镍基高温合金条件下影响毛刺因素的研究
Study on the Influence Factors of Burr in High Speed Cutting of Nickel-Base Superalloy
DOI: 10.12677/MET.2020.92009, PDF,    国家自然科学基金支持
作者: 范依航, 吕泽群*, 郝兆朋:长春工业大学机电工程学院,吉林 长春
关键词: 镍基高温合金高速切削工件质量毛刺Nickel-Base Superalloy High Speed Cutting Workpiece Quality Skin Needling
摘要: 镍基高温合金是一种难加工金属材料,采用此材料加工后工件质量很难保证。而工件质量是高速切削加工追求的重要内容,其对加工后零件的耐磨性、耐腐蚀性和热传导性能都有很大的影响。通过切削实验与仿真分析相结合的方法来研究影响高温镍基合金的高速切削条件下的工件质量的因素。分析切削实验获取的切削根金相图片,结合实验现象,得出结论:在切削速度不变的情况下,切削深度越大,形成的毛刺高度越高。在切削深度一定的情况下,切削速度越大,越不易形成滞留毛刺,工件质量越好。
Abstract: Nickel-base superalloy is a kind of hard to machine metal material. It is difficult to guarantee the quality of workpiece after using this material. The quality of workpiece is an important content of high-speed machining, which has a great influence on the wear resistance, corrosion resistance and heat conduction performance of machined parts. The factors that affect the quality of the workpiece in high speed cutting of high temperature nickel-base alloy are studied by the method of cutting experiment and simulation analysis. Based on the analysis of the metallographic picture of the cutting root obtained from the cutting experiment and the experimental phenomenon, it is concluded that the larger the cutting depth is, the higher the burr height is. In the case of a certain cutting depth, the higher the cutting speed, the more difficult to form retained burr, the better the quality of the workpiece.
文章引用:范依航, 吕泽群, 郝兆朋. 高速切削镍基高温合金条件下影响毛刺因素的研究[J]. 机械工程与技术, 2020, 9(2): 89-99. https://doi.org/10.12677/MET.2020.92009

参考文献

[1] 陈世平, 罗辑, 石军. 金属切削加工中的毛刺问题[J]. 机械设计与制造, 2004(1): 99-100.
[2] Hambli, R. (2002) Prediction of Burr Height Formation in Blanking Processes Using Neural Network. International Journal of Mechanical Sciences, 44, 2089-2102.
[3] Martellotti, M. (1941) An Analysis of the Milling Process.
[4] Lee, K.Y., Kang, M.C., Jeong, Y.H., et al. (2001) Simulation of Surface Roughness and Profile in High-Speed End Milling. Journal of Materials Processing Technology, 113, 410-415. [Google Scholar] [CrossRef
[5] Omar, O.E.E.K., El-Wardany, T., Ng, E., et al. (2007) An Improved Cutting Force and Surface Topography Prediction Model in End Milling. International Journal of Machine Tools & Manufacture, 47, 1263-1275. [Google Scholar] [CrossRef
[6] Arizmendi, M., Campa, F.J., Fern, N.J., et al. (2009) Model for Surface Topography Prediction in Peripheral Milling Considering Tool Vibration. CIRP Annals Manufacturing Technology, 58, 93-96. [Google Scholar] [CrossRef
[7] 魏立峰. 光学零件超精密铣削加工表面形貌预测与仿真[D]: [硕士学位论文]. 武汉: 华中科技大学, 2008.
[8] 李成锋. 介观尺度铣削力与表面形貌建模及工艺优化研究[D]: [博士学位论文]. 上海: 上海交通大学, 2008.
[9] Luo, X., Cheng, K. and Ward, R. (2005) The Effects of Machining Process Variables and Tooling Characterisation on the Surface Generation. The International Journal of Advanced Manufacturing Technology, 25, 1089-1097. [Google Scholar] [CrossRef
[10] 李荣彬, 张志辉, 李建广. 超精密加工的三维表面形貌预测[J]. 中国机械工程, 2000, 11(8): 845-848.
[11] 范依航, 王涛, 郝兆朋, 等. 基于多尺度仿真的Inconel 718切削过程研究[J]. 制造技术与机床, 2017(9): 114-117.
[12] Zhu, Z.C. (2014) Martensitic (20). Shanghai University of Science, Shanghai.
[13] Hall, E.O. (1970) Yield Point Phenomena in Metals and Alloys. Plenum Press, New York. [Google Scholar] [CrossRef