## 1 Introduction  
To optimize the design of electrical machines in mining applications, it has become fundamental to elevate out mechanical and thermal analysis along with electromagnetic analysis. Application of a direct drive system has become an irresistible trend in the last decade as the knowledge of energy consumption optimization increased. The switched reluctance motor (SRM) used for Pulverizing in mining applications is usually required to be with high-torque and low-speed, which will typically cause the high-temperature to rise and unpredictable vibration [1], which may create the conditions for catastrophic results and human casualties, if they are not taken account of. The SRM has no rare earth material as permanent magnets. Consequently, higher currents are required in order to produce high torque. Moreover, these higher currents cause a large amount of losses in the winding. In addition, the magnetically saturated operation of the SRM also leads to higher magnetic losses, which will typically cause an increase of the temperature of the SRM. This temperature rise may increment resistance and decrease both efficiency and the insulation lifespan of the motor winding [2; 3; 4; 5; 6; 7]. Therefore, predicting the temperature filed precisely and hotspot positions inside the SRM is needed. In order to keep the operating temperature of the SRM within the permitted limit, a cooling system should be developed [8; 9; 10; 11; 12; 13; 14]. Moreover, mechanical characteristics, including acoustic noise and vibration,are significant factors that impact on the operating reliability and service life of the SRM. They are induced by the electromagnetic force within the air-gap between the stator and the rotor. Mechanical vibration is one of the major mechanical faults to cause a breakdown of electric machines. It is thus exceptionally significant to evaluate the mechanical vibration performance of the SRM to escape mechanical failures [15; 16; 17; 18]. Hence, many researchers have investigated thermal analysis, vibration and acoustic noise analysis of the SRM [12; 15; 19]. In References [20; 21; 22] the lumped parameter thermal network (LPTN) analysis model and the finite element method (FEM) were established to compute the temperature of the SRM. LPTN has the advantages of fast computation speed even for thermal transients. However, the accuracy of LPTN is limited by the appropriateness of how the thermal resistance components are set [20]. Convective heat transfer is still the most complex issue which needs a better understanding of fluid flow within the motor [23]. The coupled thermal analysis is made through CFD and FEM gives enough valuable results on the motor temperature rise. Thus, the boundary condition of the equivalent thermal model can be obtained according to the CFD theory [24; 25]. The radial force between rotor and stator is one of the significant sources of the vibration in the SRM. The study of vibration can be basically partitioned into two categories of time and frequency domain techniques [26]. In Reference [27]  
five approaches were employed to determine motor natural frequencies. The calculation of motor natural frequencies is necessary for the vibration of SRM [17]. Using a simulation environment ANSYS-Workbench, the acoustic noise and vibration created by the transient electromagnetic forces on the stator of an electric machine were presented previously [28]. However, the water jacket (WJ) optimization design has not been intensely studied and requires further research [2]. High temperatures caution the designer to minimize the losses, modify the cooling type, or optimize the machine. SRM thermal performance is generally influenced by two components. First is the sum of heat sources inside the SRM produced from losses. The second is how well the produced heat can be dissipated out from the SRM. In this paper, the losses of the SRM are evaluated utilizing the FEM to assist thermal analysis.