Generative design habit 1: Design for exploration

Generative design habit 1: Design for exploration
13
Jul

The 7 habits of highly effective Generative Design

For classic topology optimization, even an experienced simulation engineer often needed several weeks to generate one single design that was promising. And it was usually chosen because it’s just too-time consuming to create and test more designs. The high manual work for that one optimization significantly limits the number of optimized parts. With Generative Design this can easily be overcome. The fast and automated process enables the user to generate several different design candidates without dedicated expert knowledge. The most promising design can be chosen from that huge design variety. This can be based on additional requirements, for example, such as aesthetics or hygiene factors for food-processing machines, that cannot be directly integrated into the optimization model. It means the user can get candidates with different approaches to solve the optimization challenge. Therefore, users only need to define the objectives, criteria, and constraints within the design space they wish to explore.

Part consolidation can be extremely powerful. Combining several parts to one broad design space gives the algorithms more freedom for design, while a part consolidation in the end can reduce costs for handling, assembly, warehousing etc.

A single derived design solution pales in comparison to the exploration of several designs. The ability to explore design space in a time-efficient manner ensures that the design process is not a bottleneck, allowing users to make decisions based solely on design criteria. The best results can only come from a complete examination of the design space with a variety of results, and in a short time. Generative Design enables free-flowing optimization of ideas and feasible design possibilities. This is the fundamental principle to achieve truly new innovative designs.

Generative Design can create many different, time-efficient, design variants for exploring the optimization challenge. This helps to choose the most promising geometry.

This blog series will explain briefly “The 7 habits of highly effective Generative Design.” Follow us in the coming weeks to learn more!

 Next: Generative Design Habit 2: Design for Usability

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