Here we show our starting point – an idealized motorcycle fork with a fairly large blob of geometry. Next we convert the optimized mesh information into solid geometry using ANSYS SpaceClaim, and then perform a validation study on the optimized geometry. We don’t claim to be experts on motorcycle design, but we do want to showcase what the technology can do with a simple example. We start with a ‘blob’ or envelope for the geometry of our design space, then perform an optimization based on an assumed set of loads the system will experience. The intent of this blog is to show the current process in ANSYS version 18.1 using a simple example of an idealized motorcycle front fork bracket optimization.
Another huge plus is the fact that SpaceClaim is linked right in to the process, allowing us to much more easily make the optimized mesh shape produced by a topological optimization into a more CAD representation set for use in validation simulations, 3D printing, or traditional manufacturing. The ANSYS capability uses the proven ANSYS solvers, including HPC capability for efficient solves.
If you already know ANSYS Mechanical, you already know the tool that’s used. Starting with version 18.0, topo opt is built in functionality within ANSYS. has really upped the game when it comes to utilizing topology optimization. Second, with the rise of additive manufacturing, it is now much easier and more practical to produce the often complex and organic looking shapes which come out of a topological optimization.ĪNSYS, Inc.
Why is topology optimization important? First, it produces shapes which may be more optimal than we could determine by engineering intuition coupled with trial and error. Frequencies can come into play as well by linking a modal analysis to a topology optimization. We may also be trying to keep maximum stress below a certain value. Typically our goal is to maximize stiffness while reducing weight. If you’re not familiar with topological or topology optimization, a simple description is that we are using the physics of the problem combined with the finite element computational method to decide what the optimal shape is for a given design space and set of loads and constraints. We’ve discussed topological optimization in this space before, notably here: