Software

Topology Optimization vs. Generative Design: Which Modeling Tool Should You Choose?

There is a constant race for even faster production, parts meeting higher demands and to surpass our current accomplishments. To achieve this, the products we manufacture have to be optimized in one way or another, so that they perform even…

Topology Optimization Generative Design
3Dnatives

There is a constant race for even faster production, parts meeting higher demands and to surpass our current accomplishments. To achieve this, the products we manufacture have to be optimized in one way or another, so that they perform even better. Often, this means reducing the weight of parts while striving for greater strength and performance. And this “less is more” equation starts right at the design stage! While designers strive to work designs in this direction, new technologies such as artificial intelligence and machine learning bring new possibilities, as is the case with topology optimization and generative design.

Topology optimization and generative design are two approaches which, with the help of computer-aided calculations, optimize designs so that they are more efficient, saving on costs and resources during production, to name but a few incentives.Although the two methods pursue similar objectives, they should not be equated or confused. We took a closer look at what is meant by topology optimization and generative design, the advantages, challenges, concrete fields of application and examples, and explain their usefulness in combination with 3D printing.

Photo Credits: Mensch und Maschine

Get the Best Design Faster With Topology Optimization and Generative Design

Topology optimization is not a new method in itself, and has been used since the early 1990s to optimize 3D models in such a way as to retain basic functions while saving materials when the part is not required to carry loads. Topology optimization always begins with a human design, which must be adapted so that performance is not reduced despite the savings made. To achieve this, however, it is necessary to define certain framework conditions, such as taking account of the forces at work and defining protected zones. Computer algorithms then create a mesh model whose structural integrity must be verified during finite element analysis (FEA). The result must then be checked and, if necessary, adapted by a CAD engineer.