Generative design AI in Autodesk Fusion, enables rapid exploration of multiple optimized design solutions. Read on to learn how this can benefit your design and manufacturing processes.
Generative design AI in Fusion
Generative design technology in Fusion leverages advanced artificial intelligence (AI) to enable rapid and comprehensive design exploration. This innovative approach allows for the simultaneous generation of multiple solutions based on specific manufacturing constraints, cost considerations, and performance requirements of the product.
The generative design process begins by defining the essential geometric aspects of the problem. Designers can add, remove, or modify geometry to create preserve regions where certain areas must remain intact or obstacle regions that need to be avoided. Loads are then applied to simulate the operational stresses the part will endure. Following this, multiple material options can be specified to further refine the design possibilities.
Setting objectives
Objectives such as maximizing stiffness or achieving a specific factor of safety are set. At this point, the system is nearly ready to start generating results. However, unlike traditional design methods, generative design in Fusion incorporates manufacturing constraints from the outset. Questions such as whether the part will be milled, which type of machine (five-axis, three-axis, or two and a half-axis) is available, or if it can be produced using water jet, plasma cutter, die casting, or additive manufacturing techniques are all considered.
Each manufacturing method presents unique benefits, challenges, and costs. Traditional CAD systems typically limit teams to investigating one concept at a time. In contrast, Fusion’s AI generative design allows for the simultaneous exploration of numerous manufacturing-ready designs tailored to specific needs.
Exploring results
Once generated, the results can be explored using various tools and plots. These are used to compare each outcome based on critical properties such as mass, performance, displacement, or cost. The generated output can be modified and refined further using Fusion’s comprehensive suite of tools. Results can be futher edited using T-spline technology or sketches, making it adaptable for generative manufacturing processes.
Fusion seamlessly connects generative design and engineering with an integrated manufacturing workspace, enabling the generation of machine code and the production of parts within the same environment. This integration allows for a streamlined process where tool paths can be easily updated by regenerating them, even as the design is being finalized.
By integrating AI-driven generative design technology with accessible manufacturing options, Fusion empowers users to bring optimized solutions into their business, enhancing efficiency and innovation.