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Effect of Cutting Surface Integrity on Fatigue Properties of TC17 Titanium Alloy.

作者信息

Wang Dan, Chen Xiyu, Lai Xunqing, Zhao Guolong, Yang Yinfei

机构信息

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.

Nanjing High Speed & Accurate Gear (Group) Co., Ltd., Nanjing 211100, China.

出版信息

Materials (Basel). 2023 Aug 17;16(16):5658. doi: 10.3390/ma16165658.

DOI:10.3390/ma16165658
PMID:37629948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10456463/
Abstract

The turning process of titanium alloy material will affect the surface structure of the material and lead to a change in its service life. In this paper, the fatigue behavior of the TC17 titanium alloy turning sample was studied through the bending fatigue test. The fatigue life variation rule under the action of thermal coupling was then discussed. This revealed the fatigue fracture mechanism of TC17; the cracks originated from the surface of the source region, and the transient fault region was a ductile fracture. The mathematical model of turning parameters and surface integrity (roughness, microhardness and residual stress) was established, and the influence of turning parameters on fatigue life was analyzed with a mathematical relationship. Drawing a conclusion, the effects of turning parameters on fatigue life at normal temperature are as follows: Feed > Cutting depth > Cutting speed. The fatigue life of = 30 m/min, = 0.25 mm/r, = 0.3 mm is only 40,586 cycles per week, the fatigue life of = 30 m/min, = 0.05 mm/r, = 0.1 mm has 539,400 cycles per week, that is, the longest fatigue life is 16.6 times the smallest. Small cutting speed, feed, and large cut depth can be chosen based on ensuring practical processing efficiency. The fatigue fracture of the TC17 sample occurred after a certain cycle, and the fatigue fracture mechanism was revealed in this paper.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/ab8e36cb79cf/materials-16-05658-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/467cc19e238e/materials-16-05658-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/b2089d9db2c0/materials-16-05658-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/0709bd4f1ee8/materials-16-05658-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/b64ae9770b9b/materials-16-05658-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/3d6aebfe5402/materials-16-05658-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/f6f8f590264b/materials-16-05658-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/5d87f94b976e/materials-16-05658-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/dd9f5ad45f6d/materials-16-05658-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/3d41caad39a6/materials-16-05658-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/ab8e36cb79cf/materials-16-05658-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/467cc19e238e/materials-16-05658-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/b2089d9db2c0/materials-16-05658-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/0709bd4f1ee8/materials-16-05658-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/b64ae9770b9b/materials-16-05658-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/3d6aebfe5402/materials-16-05658-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/f6f8f590264b/materials-16-05658-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/5d87f94b976e/materials-16-05658-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/dd9f5ad45f6d/materials-16-05658-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/3d41caad39a6/materials-16-05658-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d5/10456463/ab8e36cb79cf/materials-16-05658-g010.jpg

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本文引用的文献

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Research and Method of Roughness Prediction of a Curvilinear Surface after Titanium Alloy Turning.钛合金车削后曲面粗糙度预测的研究与方法
Materials (Basel). 2019 Feb 6;12(3):502. doi: 10.3390/ma12030502.