Topological optimization of cooling fins through the use of an evolutionary algorithm for use in additive manufacturing

The advent of additive manufacturing has allowed for the creation of novel cooling fin geometries. Thus, a topological optimizer for cooling applications is necessitated. However, due to the complexities of fluid dynamics this has not been previously possible with traditional gradient based approaches. By using an evolutionary algorithm a simple and robust topological optimizer has been developed. The optimizer has developed several new cooling fin designs, that outperform traditional shapes.