Design optimization is a mathematical technique that can be used, together with computational fluid dynamics, to identify the best design to achieve one or more desired objectives, while taking into account a spectrum of design parameters and constraints. Optimization has become more and more popular in recent years as quality requirements increase and computational resources become faster and more-powerful, allowing for iterative runs.

An earlier blog on design optimization showcased a case study to improve the mixing efficiency of a microfluidics device. In this blog, we present a proof of concept from the metal casting industry – optimization of gravity casting filling system – using FLOW-3D Cast and CAESES®, an optimization tool developed by Friendship Systems GmbH, in Potsdam, Germany.

In the presented case (and in metal casting in general), our objective is to minimize defects given certain limitations on the geometry and process parameters. Additionally, by using CAESES, we will greatly reduce the amount of post-processing and evaluation because we will not be running all the simulations and then manually comparing the results.

Read the full article at https://www.flow3d.com/runner-system-optimization/>