Generative design - endoskeleton bone shape optimization
At the ROBIN group we are using generative design for automatic optimization of physical shapes for 3D printing and CNC machining. We have our own custom developed generators based on a new high voxel count FEA modeling technique running on the latest parallel CPU/GPU hardware.
Generative design in leg prosthesis
For leg prostheses, it is important to keep a high strength-weight ratio for the user to save energy and enable good physical performance.
In this master project, the student will construct and test a human leg prosthesis based on two artificial muscles of type McKibben in an agonists/antagonists configuration.
The McKibben muscles are lightweight and most of the overall weight of the prosthesis is assumed to be in the bone. The shape of the endoskeleton bone structure will therefore be optimized by generative design.
- Matlab 2019
- Markforged carbon, HP JetFusion 540