Optimization of a Soccer Robot Components Using Engineering Generative Design Approach

The object of the present study is to design and develop the chassis parts of a soccer robot, including the main chassis and electronic assembly member using innovative design techniques.Generative design is an iterative process that leverages software algorithms to create and evaluate numerous design options based on defined parameters and constraints.In this study, Autodesk Fusion 360 software was utilized, incorporating inputs such as preserve and observe geometry, starting shape, load cases, and manufacturing methods.These techniques were influenced by factors including product capacity, cost, and material choices.It is particularly beneficial in additive or conventional manufacturing, enabling the creation of complex geometries with ease.This approach allows designers to explore new possibilities, reduce material waste, and enhance the overall manufacturing process.The study here aimed to minimize material usage, improve the robot's stability, weight reduction and innovation, thereby reducing production costs while maintaining structural integrity.Also, various engineering materials with previous methods and materials throughout this approach.The Innovative design process application method begins with the definition of the problem.After that 3D modelling was performed and appropriate materials were defined and selected.Accordingly, design optimization was achieved by applying generative design methods.At the end of the process, production was carried out using 3D printing technology to obtain prototypes that were produced, tested and evaluated.The optimal conditions were obtained up to 38 and %45 weight reduction leading to a revised and improved version of the robot.This research highlights the efficiency of processes in optimizing material utilization, improving product stability, and minimizing waste.