Abstract
Abstract: The suspension system affects ride comfort, handling, and safety. Optimizing suspension systems to improve rider experience and boost electric car and bike adoption is crucial as their popularity grows. ANSYS Finite Element Analysis (FEA) can analyze and optimize suspension designs for electric automobiles and bikes. FEA with ANSYS suspension system analysis and optimization is covered in this study. Electric vehicles' lower centre of gravity and variable load distribution make suspension analysis unusual, as the introduction states. Stress distribution, deformation, natural frequencies, and mode shapes analysis are described in FEA for suspension behavior. Performance, weight reduction, resource efficiency, quicker development cycles, and cost reductions are further highlighted by suspension design improvement. The paper examines multiobjective optimization, computational resource constraints, model complexity, and real-world variability as optimization difficulties. The effects of suspension system design and optimization on future electric cars and bikes are examined, highlighting the relevance of optimized suspensions in improving driving experiences and promoting electric vehicles as ecofriendly transportation solutions
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