Generative Design System Development for Additive Manufacturing Heat Sinks
Students on the GM team will develop a generative design process to determine the optimal geometry for additive manufacturing heat sinks to deliver thermal cooling needs for automotive electronics. Generative design utilizes topology optimization suggesting novel geometric forms which are then evaluated for effectiveness against the design criteria (in this case heat transfer ability, cost, operational life, etc.) and then developed into feasible design solutions.
Generative design utilizes topology optimization to suggest novel geometric forms which are then evaluated for effectiveness against the design criteria (in this case heat transfer ability, cost, operational life, etc.) and then developed into feasible design solutions. The team will leverage open source topological optimization engines and generative design functions to create their generative design engine. They will leverage commercially available thermal evaluation packages to solve the heat transfer problems. Performance of polymer heat sinks can enhanced by optimizing geometric design. Recent advances in additive manufacturing, commonly known as 3D printing, bring new opportunities to improve polymer heat sinks in this direction. The new fabrication process makes it possible to produce complex objects which would have been difficult or impossible to make utilizing traditional manufacturing process. It generates new sets of design freedom and provides opportunities to re-think and optimize existing designs. We hope that generative design will push the envelope of design concepts considered.