Investigating Stresses and Deformations in Three Jaw Type Flexible Clutch Using Finite Element Analysis

The loads and deformations happening in a Three Jaw Type Flexible Clutch (JTFC) are looked at in detail in this study. The Finite Element Method (FEM) and forecasts helped by Artificial Intelligence (AI) are used. A three-dimensional model was made in the first step using PTC Cre-O software. This model was then sent to ANSYS for detailed FEM tests. During these studies, important information about how the clutch works mechanically was carefully measured and written down. This included the stress levels and displacement patterns inside the clutch. The main purpose of this study is to find the best materials for the clutch in a variety of industry settings. This will make the part last longer and work better. This study uses a mix of advanced simulation tools and AI techniques, such as Artificial Neural Networks (ANN), to compare the performance of JTFC to existing models. It also adds to the process of choosing materials by predicting how they will behave in the future under different operational stresses. Combining mathematical modelling with AI predictions also creates a strong framework for imagining real-world situations and guessing how material choices will turn out before physical examples are made. This method is very helpful because it finds possible failure modes and the clutch assembly's mechanical limits, which cuts down on the time and money needed for experiments. Researchers think that the results of this study will help a lot with designing and making industrial tools with JTFC systems that work better, last longer, and cost less. This study not only lays the groundwork for more real-world research, but it also opens up new ways to use AI in mechanical component analysis and design optimisation.