Prediction of Cutting Performance of Diamond Wire Saw Machine in Quarrying of Marble: A Neural Network Approach

被引:15
作者
Jain, S. C. [1 ]
Rathore, S. S. [1 ]
机构
[1] Maharana Pratap Univ Agr & Technol, Coll Technol & Engn, Dept Min Engn, Udaipur 313001, Rajasthan, India
关键词
Cutting rate; Wear rate; Thrust; ANN; Multivariate regression analysis; Dolomitic marble; CARBONATE ROCKS; SAWABILITY;
D O I
10.1007/s00603-011-0137-6
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
In Global competitive era, the ultimate objective of any marble mine operator is to produce good quality blocks at optimum cost with maximum recovery. To reduce the cutting cost with diamond wire saw machine, it is necessary to get optimum cutting performance from the machine. Performance prediction of diamond wire saw machine is important in the cost estimation and planning of quarries. Performance of diamond wire saw machine also depends on the implementation of automatic setting device for real time control of pull-back force and of peripheral velocity. © The Author(s) 2010.
引用
收藏
页码:367 / 371
页数:5
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