Abstract

Pulverizing mills are used to grind raw coal into fine lignite particles, for the preparation of primary fuel to feed the boiler. Hence, it is an important equipment in the Thermal power plants for power production. While in operation, the mills are subjected to unexpected failures, which results in reduced power generation and in turn the productivity. Failure of such critical equipment is a great threat for power production. To overcome this issue, Risk Based Maintenance (RBM) approach is carried out. The Risk Based Maintenance helps in reducing the machinery failure rate resulting from breakdown and managing action priorities. This approach mainly deals with estimating the risk caused by unexpected failures of the components of mill as a function of the probability and the consequence of failure. Maintenance activity for various components of pulverizing mill is prioritized based on the risk level that helps in reducing the overall risk of the equipment. A thermal power station has been selected for performing the maintenance task in pulverizing mill.

Abstract

The exhaust pollution from the vehicle has become one of the important reasons for environment pollution. With the advancement in automobile industry, the exhaust muffler has been paid attention to improve the performance of engines. Computational Fluid Dynamics (CFD) method is used to analyze the aerodynamic performance and effect which the internal flow field has on the performance of the muffler. With this method, the pressure distribution in the muffler is simulated and the pressure loss was predicted. Resistance muffler research relates with the fields of acoustics, fluid dynamics, heat transfer and mechanical design. The experiment results verify that, the assembly performance of the muffler is better.

Abstract

This paper deals with evaluation of the natural frequencies of a cantilever beam with fixed dimensions and material. The necessary boundary conditions are applied and the natural frequencies are evaluated by 3 methods viz a) analytically, by using relevant formulae, b) by using the concepts of FEM and MATLAB software, and c) by experimental analysis.

There will be a discrepancy in the above values of the natural frequencies. The experimental value is taken as a benchmark and the deviation of the value by analytical and FEM methods are minimized or the dynamic characteristics of the beam structure are improved by employing the principles of Structural Dynamic Modification (SDM). Model updating is one of the techniques of SDM used to converge the values of the natural frequencies closer to the experimental value.

Abstract

Gas Metal Arc Welding (GMAW) has got many wide applications in today's industry. Selection of input welding parameters in this process plays a very major role depending on which the quality of weld and subsequently the productivity depends. Controlling of the input parameters is very much essential to obtain a good quality weld. In the present work some of the parameters such as, welding voltage, welding current, welding speed, Nozzle to Plate Distance (NPD) and Gas Density (G) influencing weld deposit area in Gas Metal Arc welding process are studied by carrying out experimentations and also a mathematical model has been developed for achieving better weld deposit area in a mild steel specimen. Factorial design approach is applied for finding the relationship between the various process parameters and weld deposit area. The study discovered that, the welding voltage and Nozzle to Plate Distance is varying directly with weld deposit area and a direct relationship existing between the welding current and speed with weld deposit area is observed.

Abstract

In the blanking operation, the quality of the product and the tool life mainly depends upon the punch and die clearance. The main objective of the study is to improve the quality of the product and also the tool life by optimizing the punch and die clearance and sheet thickness. The quality of the product and tool life mainly depends upon the punch and dies clearance. If the punch and die clearance is too large, it leads to large burrs and poor quality, otherwise if the clearance is too small, it results in part with poor edge quality, reducing the tool life and leading to more frequent tool component replacement. By using optimal amount of die clearance, the shear cracks join; this balances the punching force and optimizes part quality and tool life. By getting the optimal amount, the optimization is used; in that genetic algorithm is a simple but powerful tool to get the optimal clearance value. This experimentation is carried out with the help of regression equation and genetic algorithm to optimize the punch and die clearance.

Abstract

The squeezing and releasing mechanism is used to transport the fluid from lower to higher pressure in peristaltic pump tube with rollers, which causes contraction & expansion along the flexible tube. So the significant influenced parameter on peristaltic pump is the roller diameter and roller material which improves the life of the tube. Hence, the present research is focused on the fabrication of rollers using the polymer matrix composites in injection moulding process by varying the percentage of reinforcement materials i.e. ceramics particles such as, 2%, 4%, 6%, 8% and 10% of silicon carbide and fly ash. These composites are tested for strength and hardness using Charpy Impact and Rockwell Hardness testing machines. Finally, the combination with which the material is having superior mechanical properties is chosen from the experimental data. The new PMC roller fabricated with this combination is used in peristaltic pump for squeezing and releasing Mechanism.