Less is more. Especially when we’re talking the mass and weight of a part we’re designing. Those of us who have used previous versions of solidThinking’s Inspire software already know about its ability to reduce up to 45% of a part’s weight within a given package space. This has always been one of Inspire software’s top selling points. But when creating the newest version of Inspire, solidThinking chose to focus on making it easier to connect the parts you’ve already designed.
After listening to recurring requests from the Inspire user community, solidThinking looked to create updated software that helps its users connect multiple parts. The new software updates include: Fasteners and Joints so we can connect multiple parts in a model using bolts, screws, pins, or sliding pins. The software’s workflow also identifies areas in the model with aligned holes to increase the ease of use. For contacts – we can now determine whether neighboring parts should be bonded, contacting, or have no contact for more realistic optimization results. Gravity Loads can also be added to a model through the Model Browser.
Inspire 2015 combines faster geometry functions with an updated user interface and expands the scope and complexity of problems that can be addressed. Several new functions have been added. Inspire users can now model, optimize, and analyze model assemblies.
To accommodate the new functions, a new ribbon style interface organizes the tools into tabs. We are able to customize the tabs to tailor the workflow to our process. Geometry functions in the program are running up to 300% faster than previous versions of Inspire. This speed increase enables us to create and investigate structurally efficient concepts quickly and easily, leading to reduction in cost, development time, material consumption, and product weight.
“Professionals using Inspire rely on its ability to simulate realistic loading conditions,” said Andrew Bartels, Program Manager for solidThinking Inspire. “With support for assembly optimization, users can now incorporate a surrounding structure into their optimizations and gain a deeper understanding of the relationship between multiple components.”