Robotics & Machine Learning Daily News2024,Issue(Dec.2) :184-185.

Investigators from South China University of Technology Zero in on Machine Learn ing (Machine Learning-based Prediction of Cocrfenimo0.2 High-entropy Alloy Weld Bead Dimensions In Wire Arc Additive Manufacturing)

华南理工大学的研究人员集中在机器学习上(基于机器学习的焊丝电弧添加剂制造中Cocrfenimo0.2高熵合金焊缝尺寸预测)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :184-185.

Investigators from South China University of Technology Zero in on Machine Learn ing (Machine Learning-based Prediction of Cocrfenimo0.2 High-entropy Alloy Weld Bead Dimensions In Wire Arc Additive Manufacturing)

华南理工大学的研究人员集中在机器学习上(基于机器学习的焊丝电弧添加剂制造中Cocrfenimo0.2高熵合金焊缝尺寸预测)

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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-机器学习的研究结果在一份新的报告中讨论。根据致《中华人民共和国关州》记者的新闻报道,研究表明:“电弧添加剂制造(WAAM)是一种很有前途的大尺寸材料制造方法。”化组件。通过调整WAM工艺参数,获得WAM焊道尺寸可以优化。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Guan gzhou, People’s Republic of China, by NewsRx correspondents,research stated, “W ire arc additive manufacturing (WAAM) is a promising method to fabricate large-sized components. By adjusting WAAM process parameters, dimensions of WAAM-produc ed weld beadscan be optimized.”

Key words

Guangzhou/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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