Application of a fuzzy analytical hierarchy process to the prediction of vibration during rock sawing

作     者：Mikaeil Reza Ataei Mohammad Yousefi Reza 

作者机构：Faculty of Mining Petroleum & Geophysics Shahrood University of Technology Shahrood 36155-316 Iran Faculty of Mining Petroleum & Geophysics Shahrood University of Technology Shahrood 36155-316 Iran Faculty of Mechanics Sharif University of Technology Tehran Irana 

出 版 物：《Mining Science and Technology》 (矿业科学技术（英文版）)

年 卷 期：2011年第21卷第5期

页      面：611-619页

核心收录：

学科分类：081901[工学-采矿工程] 0819[工学-矿业工程] 08[工学] 

主　　题：Sawability FAHP Classification Vibration 

摘      要：A new predictive model for evaluating the vibration of a sawing machine was developed using a new rock classification system. The predictors are machine parameters and a rock sawability index. The new rock classification system includes four major parameters of the rock： uniaxial compressive strength, abrasiv- ity index, mean MoWs hardness, and Young＇s modulus. The FAHP approach was used when determining the weights of these parameters by six decision makers. Two groups of carbonate rocks were sawn using a fully-instrumented laboratory sawing rig at different feed rates and depths of cut. During the sawing trials system vibration was monitored as a measure of saw performance. Then, a new statistical model was obtained by multiple regression on the machining parameters and the rock sawability index. The model is very useful for the evaluation of the system vibration, and for selecting suitable machining parameters, from a limited set of mechanical properties.