Robotics & Machine Learning Daily News2024,Issue(Dec.5) :119-120.

Central South University Researchers Report Research in Machine Learning (Accele rating lPBF process optimisation for NiTi shape memory alloys with enhanced and controllable properties through machine learning and multi-objective methods)

中南大学研究人员报告了机器学习的研究(通过机器学习和多目标方法对具有增强和可控性能的NiTi形状记忆合金的Accele评级lPBF工艺优化)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :119-120.

Central South University Researchers Report Research in Machine Learning (Accele rating lPBF process optimisation for NiTi shape memory alloys with enhanced and controllable properties through machine learning and multi-objective methods)

中南大学研究人员报告了机器学习的研究(通过机器学习和多目标方法对具有增强和可控性能的NiTi形状记忆合金的Accele评级lPBF工艺优化)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道来自中华人民共和国湖南,由NewsRx记者报道,研究称,激光粉末床熔合(LPBF)技术制备NiTi形状金属合金(SMAs)在航空航天和医疗应用方面表现出的前景。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Hunan, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“NiTi shape me mory alloys (SMAs) prepared by the laser powder bed fusion (LPBF) technology hav edemonstrated promise in aerospace and medical applications.”

Key words

Central South University/Hunan/People’ s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learn ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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