Robotics & Machine Learning Daily News2024,Issue(Nov.12) :43-44.

Findings from Sanming University Provides New Data on Machine Learning (Real-tim e Thermal Error Compensation of Machine Tools Based On Machine Learning Model an d Actual Cutting Measurement Via Temperature Sensors)

三明大学的研究成果为机器学习提供了新的数据(基于机器学习模型的机床热误差实时补偿和温度传感器的实际切削测量)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :43-44.

Findings from Sanming University Provides New Data on Machine Learning (Real-tim e Thermal Error Compensation of Machine Tools Based On Machine Learning Model an d Actual Cutting Measurement Via Temperature Sensors)

三明大学的研究成果为机器学习提供了新的数据(基于机器学习模型的机床热误差实时补偿和温度传感器的实际切削测量)

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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-调查人员讨论机器学习的新发现。根据新闻报道来自中华人民共和国福建,由NewsRx记者报道,研究称,“在计算机数控系统中”(CNC)机床,影响加工精度的因素主要来源于机床自身几何误差和切削过程中由于热效应对其结构产生的误差。通常,热误差占总误差的70%以上。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingfrom Fujian, People’s Republic of China, by NewsRx journalists, research stated, “In computer-numericalcontrolled(CNC) machine tools, factors affecting machining precision mainly stem from the machine’s owngeometric errors and errors occurring during cutting due to therm al effects on its structure. Typically,thermal errors contribute to more than 7 0% of the total error.”

Key words

Fujian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Sanming University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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