Robotics & Machine Learning Daily News2024,Issue(Nov.29) :116-116.

Reports Outline Machine Learning Findings from University of Carlos III Madrid ( Spot-checking Machine Learning Algorithms for Tool Wear Monitoring In Automatic Drilling Operations In Cfrp/ti6al4v/al Stacks In the Aircraft Industry)

马德里卡洛斯三世大学的报告概述了机器学习的发现(飞机工业Cfrp/ti6al4v/al堆自动钻孔操作中工具磨损监测的抽查机器学习算法)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :116-116.

Reports Outline Machine Learning Findings from University of Carlos III Madrid ( Spot-checking Machine Learning Algorithms for Tool Wear Monitoring In Automatic Drilling Operations In Cfrp/ti6al4v/al Stacks In the Aircraft Industry)

马德里卡洛斯三世大学的报告概述了机器学习的发现(飞机工业Cfrp/ti6al4v/al堆自动钻孔操作中工具磨损监测的抽查机器学习算法)

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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新闻-关于机器学习的详细数据已经公布。根据来自…的消息西班牙马德里,由NewsRx记者报道,研究称,“在飞机制造领域,多样化包括碳纤维增强塑料(CFRP)、铝和钛合金在内的材料是em装配过程在很大程度上依赖于制造数千个孔。这些孔容纳螺栓和铆钉,便于飞机机身内部结构部件的安全联锁。这项研究的财政支持者包括空中客车法国公司,国家调查机构,MCIN/AEI,欧盟“下一代欧盟”/PRTR。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news originating fromMadrid, Spain, by NewsRx correspondents , research stated, “In aircraft manufacturing, where diversematerials, includin g Carbon Fiber-Reinforced Plastics (CFRP), aluminum, and titanium alloys, are employed, the assembly process heavily relies on creating thousands of holes. Thes e holes accommodatebolts and rivets, facilitating the secure interlocking of st ructural components within the aircraft fuselage.”Financial supporters for this research include Airbus France S.A.S., State Inves tigation Agency,MCIN/AEI, European Union “NextGenerationEU”/PRTR.”

Key words

Madrid/Spain/Europe/Algorithms/Cybor gs/Emerging Technologies/Machine Learning/University of Carlos III Madrid

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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