Predicting the Ampere Consumption of Stone Sawing Machine in Cutting Process Using Multi-Element Fuzzy Approach

Predicting the ampere consumption in carbonate rock sawing process is very important for the determination of the electrical energy cost per unit of production. In addition, ampere consumption prediction may be used for selecting the optimum operation parameters to obtain high production rate. In this study, it is aimed to develop fuzzy classification systems to evaluate and classify the carbonate rock based on physical and mechanical properties such as Brazilian tensile strength, equal quartz content, grain size, uniaxial compressive strength, Young modulus and Mohs hardness. Varieties of seven carbonate rocks such as Azarshahr travertine, Hajiabad travertine, Dare-bukhari travertine, Harsin marble, Salsali marble, Anarak marble and Haftooman marble were classified by developed fuzzy classification system. To validate the classification’s results, ampere consumption was recorded during sawing process for each studied rocks. The results of the study show that the three-class fuzzy classification system is capable to evaluate the carbonate rock saw-ability and ampere consumption during soft dimensional stone sawing process.