Application of Generative Design to a Mountain Bike Frame with Consideration of Structural Weight Reduction

This proposal exposes the application of the generative design to a mountain bike swingarm considering the reduction of the structural weight and model improvement. The process was carried out to obtain the optimized model of the swingarm. Different alternatives generated was observed, to compare between them and obtain the best alternative that complies with the standards. Three different methods were used to obtain the alternatives: own generation, generate by artificial intelligence and optimization a topographic study. A total of seven alternatives were proposed to perform the analysis and determine the quality level. Through the simulation of the different alternatives the best working conditions were verified based on the resistance and compliance with the safety factor of each alternative. The greatest structural reduction was obtained in the alternatives obtained through AI generation with 25.64 %, however, the safety factor of the alternative was not proper. The most encouraging results were obtained in one of the alternatives obtained by self-generated generation when complying with the safety factor of 1.32 and 13.82 % of structural reduction, which translates into 36.12 grams.