So, let’s walk through the process of setting up a problem with the application. While this sounds interesting at the higher level, what’s key is how it’s actually used. When implemented in a software solution, this looks like a simulation process that will solve according to the required loading conditions and find areas where material can be removed from the underlying mesh. If the loading on a particular bone increases, the bone will remodel itself over time to become stronger to resist that sort of loading. The concept is that in a single system the user can load in or model up a rough set of geometry, apply performance and boundary conditions (loads, constraints, pressures etc), then use a method of topology optimisation based on Wolff’s law.įor those unfamiliar with Wolff’s law, this is a 19th century medical theory that states that bone, in both humans and animals alike, will adapt to the loads under which it is placed. Initially introduced as an add-on to Altair’s solidThinking Evolve 3D modelling application, it’s now being sold as a standalone product. SolidThinking Inspire has been on the market for a couple of years now. So, what if the user wants to explore a mechanical design problem with more freedom than that afforded using typical software simulation methods? Enter Altair’s solidThinking Inspire. The old adage “evolution, rather than revolution” holds true. Essentially, the user is optimising within a very confined set of options. When this is compared to the theoretical blue sky approach, it becomes clear that the results from a typical software optimisation process are restricted to the model that is used. In other words, the user takes a model, parameterises it, gives the system a set of inputs, variables and a goal, and has the system iterate it to find the best solution. Looking at the most widely available optimisation tools out there (most Finite Element Analysis systems include such tools), they rely on the design of experiments method. Inspire has a non-standard, yet clear interface that enables explorationĪs a purely theoretical exercise it can be done without restriction, but problems arise when using a software system to support the process.
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