Robotics & Machine Learning Daily News2024,Issue(Jun.27) :71-72.

Data on Robotics Detailed by Researchers at Northwestern Polytechnic University (Analysis of Abrasive Belt Wear Effect On Residual Stress Distribution In Roboti c Belt Grinding of Gh4169)

西北理工大学研究人员详细介绍的机器人学数据(Gh4169 Roboti C砂带磨削中砂带磨损对残余应力分布的影响分析)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :71-72.

Data on Robotics Detailed by Researchers at Northwestern Polytechnic University (Analysis of Abrasive Belt Wear Effect On Residual Stress Distribution In Roboti c Belt Grinding of Gh4169)

西北理工大学研究人员详细介绍的机器人学数据(Gh4169 Roboti C砂带磨削中砂带磨损对残余应力分布的影响分析)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-一项关于机器人的新研究现在开始了。据《中华人民共和国西安消息》报道,sRx新通讯员研究称:“砂带磨削以其良好的弹性磨削性能、高效性、适应性强等特点,广泛应用于GH4169等难加工材料的精密加工,砂带磨损是磨削过程中常见的现象,其机理及对加工质量的影响。”特别是它对残余应力(RS)的影响,仍然不清楚。本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news originating from Xi’an, People’s Republic of China, by New sRx correspondents, research stated, “Belt grinding is commonly applied for prec ision manufacturing of difficult-to-machine materials like GH4169, owing to its satisfactory elastic grinding properties, high efficiency, and strong adaptabili ty. Abrasive belt wear is a common occurrence during the grinding process; howev er, its mechanism and effect on machining quality, particularly its influence on residual stress (RS), remain unclear.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Xi’an/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Northwestern Polytec hnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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