Robotics & Machine Learning Daily News2024,Issue(Nov.28) :175-176.

Findings from University of Exeter Provide New Insights into Machine Learning (M achine learning enabled 3D printing parameter settings for desired mechanical pr operties)

埃克塞特大学的发现为机器提供了新的见解学习(机器学习启用3D打印参数所需机械性能的设置

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :175-176.

Findings from University of Exeter Provide New Insights into Machine Learning (M achine learning enabled 3D printing parameter settings for desired mechanical pr operties)

埃克塞特大学的发现为机器提供了新的见解学习(机器学习启用3D打印参数所需机械性能的设置

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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-人工智能新研究》是一篇新报道的主题。据新闻报道来自联合王国E Xeter的报道,由NewsRx通讯员撰写,研究称,“添加性”manu制造方便了具有定制机械性能的零件的生产,同时也实现了特定的由于印刷与印刷之间的复杂关系,应力应变响应仍然是一个重要的挑战参数和材料beh aviour。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsreporting originating from E xeter, United Kingdom, by NewsRx correspondents, research stated, “Additivemanu facturing facilitates the production of parts with tailored mechanical propertie s, yet achieving specificstress-strain responses remains a significant challeng e due to the intricate relationship between printingparameters and material beh aviour.”

Key words

University of Exeter/Exeter/United Kin gdom/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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