Analyzed the combined behavior of the Camshaft to make the it robust at all possible load cases in order to fix the optimum size of the camshaft and understanding it's dynamic behaviors. Designed a 3D Camshaft Model using SolidWorks with dimensions taken from standard resources. Analyzed the 3D Model using Static Structural Analysis after importing model from SolidWorks to ANSYS. Calculated various parameters like Total Deformation & Equivalent Von mises Strain under various load conditions for different materials like Cast Iron, Stainless, EN24, EN8D using Mesh generation in ANSYS. Compared the Parameters for different materials, to determine the best materials to use in order to design a camshaft for the efficient performance of an engine.

This project presents a fuzzy logic model for evaluating the social acceptance of waste treatment methods. The model uses two interconnected sub-models to process inputs such as quality of waste treatment, polluter impact, and facility distance to determine the level of social acceptance. The researchers applied this model to a case study in the city of Niš, Serbia, where they surveyed 745 respondents about their opinions on various waste management techniques. The fuzzy logic approach allows for the quantification of subjective and uncertain social indicators, providing a numerical measure of acceptance for different waste treatment methods. The results showed that recycling and composting had the highest levels of social acceptance at 57.47% and 51.05% respectively, while incineration and anaerobic digestion had the lowest acceptance at 17.74% and 28.95%. This innovative approach offers a way to incorporate social factors into sustainability assessments of waste management systems and highlights the importance of public education in shaping acceptance of different waste treatment technologies.