2026年8月27日，美国华盛顿州立大学研究人员利用人工智能技术，在超过1亿种3D打印参数组合中进行筛选，成功找到了一种低成本3D打印NASA高性能合金GRCop-42的方法 1。这项历时三个月的研究由Jana Doppa负责，Azza Fadhel担任论文第一作者，相关成果已发表于《Proceedings of the AAAI Conference on Artificial Intelligence》 1。
GRCop-42是一种由铜、铬和铌组成的合金，原本昂贵且难以进行3D打印 1。研究团队仅通过40次实验，便识别出6种成功的打印配置 1。其中一种配置在创纪录的500瓦激光功率下成功打印，这使得该合金能够在更常见的商用设备上进行制造 1。
Researchers at Washington State University in the United States have utilized artificial intelligence to search through over 100 million possible 3D printing parameter combinations, discovering a more cost-effective method to manufacture the high-performance NASA alloy GRCop-42 1. Composed of copper, chromium, and niobium, this alloy was previously expensive and difficult to print, but the team identified a configuration that successfully prints at a record-low laser power of just 500 watts, allowing it to be produced on more common commercial equipment 1.
The research, conducted over a period of three months and reported on August 27, 2026, managed to identify six successful configurations through only 40 physical experiments 1. The study was led by Jana Doppa, with Azza Fadhel serving as the first author of the paper, and the findings have been published in the Proceedings of the AAAI Conference on Artificial Intelligence 1.
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