Can AI Boost Design for Additive Manufacturing?

Artificial intelligence (AI) is rapidly emerging as a key enabler of innovation. What does this mean for design, particularly when it comes to designing new products and components for additive manufacturing?

On Oct. 26, Digital Engineering will convene a panel of industry experts to address that question during the keynote session for the 2023 Design & Simulation Summit. You can find more details about the virtual conference here.

With powerful pattern recognition and natural language processing, AI or machine learning is expected to drastically lower the learning curve for design and simulation software and transform its user experience. In fact, leading design and simulation software companies are already incorporating AI into their software offerings. Additive manufacturing presents new challenges in design, since the technology allows for the creation of new types of shapes and structures not possible with traditional manufacturing approaches. That means the design space is much larger, and 3D printers can utilize different types of materials with different properties. Can the technology improve DfAM (Design for Additive Manufacturing) in the same way as it does for traditional design? Can AI give existing DfAM algorithms a boost in failure detection and geometry generation? The keynote panel will explore what’s possible, what’s in the near future, and what the risks and uncertainties are.

Read more here.

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