A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces
International Journal of Mechanical Engineering and Applications
Volume 6, Issue 2, April 2018, Pages: 29-34
Received: Mar. 25, 2018;
Accepted: Apr. 18, 2018;
Published: May 15, 2018
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Tao Sun, State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China; Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China
Jin Liang, State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
Dengwan Li, Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China
Ling Zhong, Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China
Chunyuan Gong, State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
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Oxygen, nitrogen and hydrogen from air greatly affect the surface quality of milled superalloys—a difficult-to-cut material. Here, we described a novel infrared-thermal conductivity method to measure oxygen, nitrogen and hydrogen on superalloy surfaces during milling. A milling experimental program was projected via the uniform design method—this contained a qualitative factor. The quadratic regression model of the superalloy was established using the best regression subset method. Here, the cutting speed, feed per tooth, axial cutting depth, radial cutting depth, and tool nose radius were the independent variables. The results were feasible with an acceptable regression effect.
Superalloy, Oxygen, Nitrogen, Hydrogen, Detection Method
To cite this article
A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces, International Journal of Mechanical Engineering and Applications.
Vol. 6, No. 2,
2018, pp. 29-34.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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