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Autonomous Experiments for Structural Design in 3d Printing
Tuesday May 18 2021 15:40 GMT
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Why This Is Interesting
  • Active learning was used to optimize the mechanical properties of a 3d printed part with fewer experiments than other approaches
  • Combining physical simulation with active learning reduced the number of experiments required to discover the optimal design by an order of magnitude compared to active learning alone, and two orders of magnitude compared to an experimental grid search approach
  • The active learning system was used to power an experimental setup that designed, fabricated, and tested components completely autonomously
  • The results demonstrate promise for drastically improving efficiency and reducing the cost and time required to develop components that are optimized for specific applications