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Generative design is an iterative design process that involves a software that produces different proposals that meet certain constraints. It tests and learns from each iteration what works and what doesn’t.
Instead of designing a part and then using strength analysis to check if the product has achieved the desired properties, generative design can reverse this approach entirely.
Designers can fine-tune the possible range by selecting specific outputs or changing input values, ranges and distribution. The outcome of this is a proposal for the best optimized product.
With Generative design, there is the ability to control design through a number of parameters. These parameters are fully controlled on the basis of a studied load case. This creates a weight-optimized design result in a consolidated part, where a traditional design or construction might require more and heavier parts. The development of additive manufacturing has proceeded at a furious pace, which has led to it being possible today to produce these organic forms. Through Generative Design in Autodesk Fusion 360, you can create lighter and stronger products.
Set up terms, restrictions and manufacturing conditions for your product and let the cloud service in Fusion 360 make suggestions on what the product should look like.
In addition to those who bought Fusion 360 separately, companies that have an Autodesk Product Design & Manufacturing Collection – (which includes Inventor and Vault), also have access to Autodesk Fusion and for others there is the opportunity to download a 30-day trial version. Below you will see how you can import your existing Inventor model into Fusion 360 and use Generative Design to make it lighter and stronger.
Autodesk’s strategy going forward is to add hardware-intensive tasks such as cloud services and make them available to everyone. In order for users to be able to easily use the services they need without buying several different product packages, you pay for these services with “Autodesk Cloud Credits”, where the cost depends on the complexity and scope of the task.