Robotics & Machine Learning Daily News2024,Issue(Nov.25) :19-20.

New Findings from University of Applied Sciences in the Area ofMachine Learning Described (Feasibility Study On Machine LearningMethods for Prediction of Proc ess-related Parameters During Waam Process Using Ss-316l Filler Material)

应用科学大学在信息技术领域的新发现机器学习描述(机器学习可行性研究SS-316L填料Waam工艺参数预测方法

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :19-20.

New Findings from University of Applied Sciences in the Area ofMachine Learning Described (Feasibility Study On Machine LearningMethods for Prediction of Proc ess-related Parameters During Waam Process Using Ss-316l Filler Material)

应用科学大学在信息技术领域的新发现机器学习描述(机器学习可行性研究SS-316L填料Waam工艺参数预测方法

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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-研究人员详细介绍机器学习的新数据。根据来自德国汉堡,由NewsRx Journali Sts撰写,研究称,“用金属丝测量物体的几何形状”电弧添加剂制造工艺(WAAM)是镀层质量的函数。工艺参数的变化和热流对零件的几何精度有一定的影响实际尺寸。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromHamburg, Germany, by NewsRx journali sts, research stated, “The geometry of objects by means of wirearc additive man ufacturing technology (WAAM) is a function of the quality of the deposited layer s. Theprocess parameters variation and heat flow affect the geometric precision of the parts, when compared tothe actual dimensions.”

Key words

Hamburg/Germany/Europe/Cyborgs/Emerg ing Technologies/Machine Learning/University of Applied Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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