عنوان مقاله [English]
نویسندگان [English]چکیده [English]
The comminution is one of the most important activities in the mineral processing and the jaw crusher is the one of the most widely used equipments in this sector. In this research a new model for estimating capital and operating costs of double toggle jaw crushers is given as uni-variate and multivariate regression functions. In the multivariate regression, for increasing the precision, the collected data are inspected in detailed and correlation between them is omitted using principal component analysis method. In uni-variate cost function, the opening area of the crusher is considered as the independent variable, while in multi variate regression opening area and power are included. The performace of each cost function has been inspected with Mean Absolute Error Rate and residual analysis. The mean error rates are 10.91 and 14.93 percent for uni-variate and multivariate regression respectively, which are acceptable amounts in prefeasibility and feasibility studies. Also normality of residuals was investigated as evidence of models adequacy. Finally, the proposed model was applied for a hypothetic gold mine as a case study.