Manufacturing & engineering
Topology optimization
Definition
Topology optimization is a simulation-driven method that removes material from a design space while meeting stiffness or strength targets under defined loads. The results are often organic shapes that need interpretation or rework before they can be manufactured.
Also known as: TO, topopt, structural optimization
Updated
How it works#
The engineer defines a design region, loads, fixtures, and targets. The solver repeatedly runs FEA and removes material that carries little load. Ansys Discovery describes it as computing an optimal structural design for a selected region with specific goals and constraints.
The method is well established in research. The DTU TopOpt group publishes widely used educational codes, including the 99-line MATLAB minimum-compliance program. Commercial tools add manufacturing constraints such as symmetry, pull direction, and overhang limits so results are closer to something that can be made.
Sources
Related terms
Generative design
Generative design is software that produces many design options from goals and constraints, such as loads, keep-out regions, materials, and manufacturing methods. It optimizes toward performance targets rather than following a text description of a shape.
FEA
FEA predicts how a part behaves under loads, heat, or vibration by dividing it into small elements and solving the physics for each one with the finite element method. It is also the engine behind topology optimization and most generative design tools.
DFM
DFM is the practice of shaping a part so it can be made reliably and economically with the intended process. It covers choices such as wall thickness, draft, tool access, bend radii, hole sizes, and tolerances the supplier can actually hold.