An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability
International Journal of Mechanical Engineering and Applications
Volume 6, Issue 2, April 2018, Pages: 23-28
Received: Mar. 25, 2018; Accepted: Apr. 18, 2018; Published: May 11, 2018
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Authors
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
Huizhong Wang, Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China
Xinxing Li, Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China
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Abstract
Material machinability evaluation is the basis of a reasonable manufacturing process. Material machinability can be evaluated qualitatively and quantitatively using the radar-graph method. However, two key questions remain unresolved, and these are indicator weight confirmation and effective evaluation. A comprehensive evaluation method is proposed to address the first question. A statistical method is used to compute the indicator weight, which is determined by a subjective or objective weighting method. An optimization model is established based on minimizing the total deviation between the original evaluation weight and the combination weight. As to the second question, a comprehensive evaluation index K, including the area vector and perimeter vector of a radar-graph, is defined to quantitatively evaluate material machinability. Machinability examples of Ti6Al4V titanium alloy, AISI316L stainless steel, P20 mold steel, 20 steel, and normalized 45 steel are provided. The results show that the method is feasible, reliable, and effective.
Keywords
Radar-Graph, Machinability, Combination Weighting, Comprehensive Evaluation, Statistics
To cite this article
Tao Sun, Jin Liang, Dengwan Li, Huizhong Wang, Xinxing Li, An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability, International Journal of Mechanical Engineering and Applications. Vol. 6, No. 2, 2018, pp. 23-28. doi: 10.11648/j.ijmea.20180602.12
Copyright
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/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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