Topology Optimization for 3D printing

Additive manufacturing, in contrast to traditional machining techniques, makes it possible to produce parts with complex geometries whose total weight can be optimized using a numerical method called topology optimization. This method also maximizes the mechanical strength of the part created. Topology optimization is part of numerical design which allows to find, thanks to mathematical formulas, the optimal material distribution in a given volume subjected to more or less important mechanical constraints.

Topology optimization therefore consists of removing the material that is not subject to stress, using dedicated software. Among the most well-known solutions are Ansys Discovery, Tosca from Dassault Systèmes, Within Labs from Autodesk, Inspire from SolidThinking, Netfabb and Simufact Additive.

The design process via topology optimization

Topology optimization: how does it work?

Conventional numerical design processes involve applying loads to a part that has already been manufactured and evaluating where it weakens. Engineers must then alter the design until the part meets the given mechanical constraints. With topology optimization, the logic is different: the mechanical loads represent input data that will allow the software to propose a new geometry for the part. Therefore, there should be less iterations made to the design of the part, considerably reducing design and manufacturing lead times.