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FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites
Joint Authors
Sun, Qin
Zhang, Jinsheng
Hu, Jibo
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approaches were employed to predict the sawability of a diamond frame saw to cut granites.
FAHP is used to determine the weights of the criteria of decision-makers and TOPSIS is used to rank sawability.
The sawability was evaluated by diamond segment wear.
The prediction of segment wear is important to determine the segments service life and sawing cost and may determine cutting parameter selection for a given stone.
Sawing experiments were conducted to verify the analysis result of the applied method in this study.
The experimental results are in good agreement with the theoretical analysis.
The ranking method can be used to evaluate segment wear.
Stone properties, such as uniaxial compressive strength, shore hardness, quartz content, and bending strength, must be determined for the best segment wear ranking.
American Psychological Association (APA)
Sun, Qin& Zhang, Jinsheng& Hu, Jibo. 2017. FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190320
Modern Language Association (MLA)
Sun, Qin…[et al.]. FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1190320
American Medical Association (AMA)
Sun, Qin& Zhang, Jinsheng& Hu, Jibo. FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190320
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190320