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聚晶金刚石刀具铣削氧化锆陶瓷加工参数的优化

Optimization of Machining Parameters for Milling Zirconia Ceramics by Polycrystalline Diamond Tool.

作者信息

Yan Xuefeng, Dong Shuliang, Li Xianzhun, Zhao Zhonglin, Dong Shuling, An Libao

机构信息

College of Mechanical Engineering, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian Xincheng, Tangshan 063210, China.

Shanxi Limin Industrial Co. Ltd., Jinzhong 030812, China.

出版信息

Materials (Basel). 2021 Dec 28;15(1):208. doi: 10.3390/ma15010208.

DOI:10.3390/ma15010208
PMID:35009352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8745846/
Abstract

Zirconia ceramics are widely used in many fields because of their excellent physical and mechanical properties. However, there are some challenges to machine zirconia ceramics with high processing efficiency. In order to optimize parameters for milling zirconia ceramics by polycrystalline diamond tool, finite element method was used to simulate machining process based on Johnson-Cook constitutive model. The effects of spindle speed, feed rate, radial and axial cutting depth on cutting force, tool flank wear and material removal rate were investigated. The results of the simulation experiment were analyzed and optimized by the response surface method. The optimal parameter combination was obtained when the spindle speed, feed rate, radial and axial cutting depth were 8000 r/min, 90.65 mm/min, 0.10 mm and 1.37 mm, respectively. Under these conditions, the cutting force was 234.81 N, the tool flank wear was 33.40 μm when the milling length was 60 mm and the material removal rate was 44.65 mm/min.

摘要

氧化锆陶瓷因其优异的物理和机械性能而在许多领域得到广泛应用。然而,以高加工效率加工氧化锆陶瓷存在一些挑战。为了优化聚晶金刚石刀具铣削氧化锆陶瓷的参数,基于Johnson-Cook本构模型采用有限元方法模拟加工过程。研究了主轴转速、进给速度、径向和轴向切削深度对切削力、刀具后刀面磨损和材料去除率的影响。通过响应面法对模拟实验结果进行分析和优化。当主轴转速、进给速度、径向和轴向切削深度分别为8000 r/min、90.65 mm/min、0.10 mm和1.37 mm时,获得了最佳参数组合。在此条件下,铣削长度为60 mm时切削力为234.81 N,刀具后刀面磨损为33.40μm,材料去除率为44.65 mm/min。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/bf600ec98afa/materials-15-00208-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/87c4c656728a/materials-15-00208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/aaa2d3c9fb88/materials-15-00208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/4fb7be0cd77c/materials-15-00208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/d72d46e4524e/materials-15-00208-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/ab6cc3ea9c05/materials-15-00208-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/bf600ec98afa/materials-15-00208-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/87c4c656728a/materials-15-00208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/aaa2d3c9fb88/materials-15-00208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/4fb7be0cd77c/materials-15-00208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/d72d46e4524e/materials-15-00208-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/ab6cc3ea9c05/materials-15-00208-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253e/8745846/bf600ec98afa/materials-15-00208-g006.jpg

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