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This paper deals with the replacement of existing brake pad material based on its highest strength and stiffness-to-weight ratio. To overcome this problem, we have investigated the input process parameters: silicon carbide weight percentage, normal pressure, sliding speed or distance, and temperature, all of which affect tribological properties. The tribological behavior of an aluminum-based silicon carbide metal matrix (Al-SiC) is investigated at elevated temperatures in this study. The metal matrix composite brake pad material has been introduced recently due to its cost-effectiveness, stable coefficient of friction, lower wear rate, and constant contact pressure at high temperatures. In this investigation, an LM25-SiC composite was fabricated using the stir casting technique, in which SiC particles were reinforced at 5%, 10%, and 15% by weight in the base alloy LM25. The investigation was carried out for friction and wear studies on a pin on a disc tester at elevated temperatures for different loads and sliding distances. The investigation using the design of experimentation highlighted by the Taguchi technique highlights the effectiveness of replacing existing brake pad material. The experimental results show improved mechanical properties due to the addition of SiC, and it is also observed that a 15% SiC addition to base metal gives optimal sliding wear.

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The presence of a crack is hazardous problem in the performance of many structures and it affects many of the vibration parameters like Natural frequency and mode shapes. Current research has focused on using different modal parameters like natural frequency, mode shape and damping to detect crack in beams. This work concentrates on the parameters like Deflection of a beam, Bending moment and behaviour of stresses. In this work, simulation is carried out by using analysis software ANSYS to find the change in natural frequencies as well as mode shapes for the cracked and uncracked beam. It is then verified by the results obtained from ANN controller and Genetic Algorithm. ANN is used to determine location of crack and its depth along with directions of propagation and Natural frequencies and corresponding mode shapes difference as initial input to calculate the variation and the vibration parameters. The output from ANN controller is corresponding depth and crack location. outputs from numerical analysis are compared with output from Experimentation and they have good resemblance to the results predicted by the ANN controller. Genetic algorithm is an evolutionary type of algorithm which generates the optimized solution to the problems. It is an iterative process to reach to the final solution. By using this, same results are found and related with the results of ANN. And finally the results are compared to find the most appropriate approach amongst the two methods.

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