Abstarct: Dimensional stone cutting with circular diamond saw is an abrasive process. During this process, the mechanical interaction between the tool and the rock generates the process forces, mainly due to factors such as the elastic and plastic deformation of the rock and the friction between the diamond grain and the segmented matrix of the stone and chip matrix. In most abrasive processes the major loss of energy is due to thermal stress, which is exacerbated by the increase in hardness, abrasion and rock resistance parameters. One of the most important ways to reduce thermal stress is to use a suitable cooling fluid/lubricant in the cutting process to create a clean environment and free of chip in addition to reducing the temperature. In this study, it was tried to investigate the performance of 5 samples of cooling/lubricating fluid including water, lubricant powder with 30:10,15:10, soap water with 1:20 and 1:40 ratio during the process of cutting hard dimension stones. For this purpose, 10 samples of hard dimension stone were selected for the study and then standardized samples were transferred to rock mechanics laboratory for determining of important physical and mechanical properties such as Mohs hardness, Schimazek’s F-abrasiveness factors, Young modulus and uniaxial compressive strength. Following, Slabs prepared from each rock sample were cut using a laboratory scale stone cutting machine with the ability to vary the operating parameters and the use of different cooling/lubricating fluids. During the cutting process, the cutting performance was evaluated using the maximum electrical current consumed by the cutting machine. The results showed that the use of lubricant powder was desirable in the process of hard rock cutting. So the maximum amount of electrical current consumed by the machine approached its minimum value when using this fluid. In the next step, optimized models were designed and presented by using statistical studies and intelligent methods to predict the consumption current electrical. The results showed that using the statistical models and neural network can be very accurately to predict the electrical current baxsed on rock characteristics, coolant and lubricant characteristics and operating parameters. At the end of this study, the economic analysis of the studied fluids was carried out on the industrial scale. The results of this section showed that at least one month of use of combined lubricant fluids can achieve economical savings by reducing energy consumption about 15%.