3D Software

Intellegens develop machine learning algorithm for new 3D printing alloys

Intellegens,一家AI公司从剑桥大学,已经开发了一种用于设计用于3D打印的新材料的新机器学习算法。

炼金板,与诸如合作伙伴合作开发Stone Group, was used to design a new nickel-based alloy for Direct Laser Deposition, eliminating long and expensive experiments.

“With deep learning capabilities that can pinpoint property-to-property relationships very quickly, Alchemite was uniquely positioned to assist with this project,” saidGareth导管, CTO at Intellegens, and a Royal Society University Research Fellow at the University of Cambridge.

“Alchemite enabled the team to use a large database of thermal resistance measurements to guide the extrapolation of just ten data entries of alloy processability. From that information, we were able to shortlist material combinations that were most likely to deliver the right characteristics.”

Pulsed laser deposition in action. Photo via Intellegens.
Pulsed laser deposition in action. Photo via Intellegens.

The Alchemite engine

直接激光沉积,a variety of定向能量沉积(DED) additive manufacturing technology uses focused thermal energy to fuse materials. Commercial machines using this process are provided by companies such asOptomecand梁机

该技术已用于生产航空航天发动机组件,涡轮刀片和油钻井工具。尽管具有其功能,但由于制造过程中所需的高温和应力梯度,用于创建如此勤奋的零件的材料受到限制。

Intellegens的炼金术发动机以稀疏或嘈杂的数据运行,已经证明了其创建新材料的能力。在特定情况下,它分析了现有的材料信息,以确定3D打印喷气发动机组件的新镍碱燃烧器合金。The Alchemite engine interface. Image via Intellegens.

The Alchemite engine interface. Image via Intellegens.

新3D印刷金属的计算合金生成

Conduit continued, “Worldwide there are millions of materials available commercially that are characterized by hundreds of different properties. Using traditional techniques to explore the information we know about these materials, to come up with new substances, substrates, and systems is a painstaking process that can take months if not years.”

“Learning the underlying correlations in existing materials data, to estimate missing properties, the Alchemite engine can quickly, efficiently and accurately propose new materials with target properties – speeding up the development process.

“这项技术在直接激光沉积和整个更广泛的材料领域的潜力是巨大的,尤其是在3D打印等领域,在这种领域中,需要新材料才能使用完全不同的生产过程。”

为“年度材料公司”投票2019 3D Printing Industry Awards

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特色图像显示了动作中的脉冲激光沉积。通过Intellegens的照片。