FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2017-01-01 |
| Journal | Mathematical Problems in Engineering |
| Authors | Qin Sun, Jinsheng Zhang, Jibo Hu |
| Institutions | Shandong University, Shandong Yingcai University |
| Citations | 6 |
Abstract
Section titled āAbstractāFuzzy 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 decisionāmakers 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.
Tech Support
Section titled āTech SupportāOriginal Source
Section titled āOriginal SourceāReferences
Section titled āReferencesā- 2011 - Development of a new classification system for assessing of carbonate rock sawability