AI tests 40 of 100 million ways to 3D-print a NASA rocket alloy & found 6 that worked
Washington State University researchers used artificial intelligence to find better printing methods. This advance significantly reduces the cost and time for printing a critical metal alloy. The AI strategy successfully identified printable configurations for the GRCop-42 alloy. This innovation makes the alloy accessible for use on common commercial 3D printers. The AI approach could also…
Washington State University researchers utilized artificial intelligence to identify a more efficient and cost-effective method for 3D printing a high-performance metal alloy known as GRCop-42. The AI strategy, developed by the team from WSU's School of Electrical Engineering and Computer Science and the School of Mechanical and Materials Engineering, was able to narrow down the search for viable printing configurations from 100 million possibilities to just six successful methods.
This breakthrough could democratize the printing process, allowing universities, smaller laboratories, and companies with limited resources to produce the alloy using existing commercial equipment. GRCop-42, a copper-chromium-niobium alloy, is widely used in aerospace applications due to its excellent thermal conductivity and strength at high temperatures.
However, it has been difficult to 3D print due to its hardness and the high laser power typically required. The AI-guided approach could also be applied to other scientific problems involving a vast number of potential experiments, such as drug discovery, where the cost and time associated with testing every option would be prohibitive.
Written by urgent.news from Times of India's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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