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.
| Published in | International Journal of Mechanical Engineering and Applications (Volume 6, Issue 2) |
| DOI | 10.11648/j.ijmea.20180602.12 |
| Page(s) | 23-28 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Radar-Graph, Machinability, Combination Weighting, Comprehensive Evaluation, Statistics
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APA Style
Tao Sun, Jin Liang, Dengwan Li, Huizhong Wang, Xinxing Li. (2018). An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability. International Journal of Mechanical Engineering and Applications, 6(2), 23-28. https://doi.org/10.11648/j.ijmea.20180602.12
ACS Style
Tao Sun; Jin Liang; Dengwan Li; Huizhong Wang; Xinxing Li. An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability. Int. J. Mech. Eng. Appl. 2018, 6(2), 23-28. doi: 10.11648/j.ijmea.20180602.12
AMA Style
Tao Sun, Jin Liang, Dengwan Li, Huizhong Wang, Xinxing Li. An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability. Int J Mech Eng Appl. 2018;6(2):23-28. doi: 10.11648/j.ijmea.20180602.12
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Download@article{10.11648/j.ijmea.20180602.12,
author = {Tao Sun and Jin Liang and Dengwan Li and Huizhong Wang and Xinxing Li},
title = {An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability},
journal = {International Journal of Mechanical Engineering and Applications},
volume = {6},
number = {2},
pages = {23-28},
doi = {10.11648/j.ijmea.20180602.12},
url = {https://doi.org/10.11648/j.ijmea.20180602.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20180602.12},
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.},
year = {2018}
}
TY - JOUR T1 - An Improved Radar-Graph Method for Comprehensive Evaluation of Material Machinability AU - Tao Sun AU - Jin Liang AU - Dengwan Li AU - Huizhong Wang AU - Xinxing Li Y1 - 2018/05/11 PY - 2018 N1 - https://doi.org/10.11648/j.ijmea.20180602.12 DO - 10.11648/j.ijmea.20180602.12 T2 - International Journal of Mechanical Engineering and Applications JF - International Journal of Mechanical Engineering and Applications JO - International Journal of Mechanical Engineering and Applications SP - 23 EP - 28 PB - Science Publishing Group SN - 2330-0248 UR - https://doi.org/10.11648/j.ijmea.20180602.12 AB - 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. VL - 6 IS - 2 ER -
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