The availability of the machine is the major consideration of all manufacturing industries. This activity leads to decide productivity of the industry. This research paper explained in detail about the availability analysis of the Timing Belt (V-Belt) manufacturing systems in the rubber industry. The performance of the belt manufacturing systems is analyzed by using the Markovian Birth-Death approach in all conditions of the systems like Raw, Reduced capacity and Repair (RRR). The transition diagram of the belt manufacturing process is drawn by the actual layout of the belt manufacturing process in the rubber industry and then developed the first-order differential and steady-state mathematical equation of the belt manufacturing process in the rubber industry. This approach is most widely used for sequence operation problems and this is the suitable mathematical model for the performance analysis of systems because this model predicts the future sequence of the model with respect to the current sequence model of the process industry. This approach can easily denote the repairable systems of all conditions (RRR). The main goal of this research analysis is to identify the effective subsystem of the belt manufacturing process in the rubber industry by the graphical representation of the changes in the availability and variations of the failure, repair rate of the subsystem of the best manufacturing process in the rubber industry. The variety of the failure rate and repair rate of the systems and the decision matrix of the subsystems is developed by the Markovian Birth-Death approach. The mathematical equations of all subsystems are solved by using MATLAB programming.

Metal matrix composites (MMCs) give challenges during machining because of the reinforcements present in them as this ultimately leads to increased tool wear and a poor surface finish. Considering this, Al-Mg-MoS2 composite samples prepared using powder metallurgy process are employed under unconventional machining process like wire electrical discharge machining (WEDM), since the composites prepared to possess a higher hardness and strength compared to that of pure aluminium. The machining is done under 3 different factors operated at 3 levels, peak current (10A, 15A & 20A), pulse on time (60µs, 90µs & 120µs), and gap voltage (40V, 45V & 50V) to analyze the material removal rate (MRR), surface roughness (SR) and overcut (OC). The surface texture of the machined samples is analyzed with scanning electron microscopy (SEM) and the recast layer so formed has also been analyzed. It is detected that the recast layer is found larger for larger surface roughness due to the higher spark energy at high-level peak current. Also, an optimal parameter of 15A peak current, 45V gap voltage and 90µs pulse on time and 4 % of MoS2 is determined through main effect plots for better machinability of the samples to obtain a better MRR, SR and OC. A better MRR, an improved surface finish and a reduced OC is seen in Al - 4%Mg - xMoS2 composite samples than that of pure Al and Al - 4% Mg materials.

No abstract