Robotics & Machine Learning Daily News2024,Issue(Dec.2) :153-154.

Researchers from Xi’an Technological University Report on Findings in Artificial Intelligence (Research On Numerical Simulation and Prediction of Tool Wear In C utting Ultra-high-strength Aluminum Alloys)

西安理工大学研究员关于人工智能研究成果的报告(超高强铝合金切削刀具磨损数值模拟与预测研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :153-154.

Researchers from Xi’an Technological University Report on Findings in Artificial Intelligence (Research On Numerical Simulation and Prediction of Tool Wear In C utting Ultra-high-strength Aluminum Alloys)

西安理工大学研究员关于人工智能研究成果的报告(超高强铝合金切削刀具磨损数值模拟与预测研究)

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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在一份新的报告中讨论了人工智能的新闻研究结果。据新闻报道《中国人民日报》陕西报道,由NewsRx记者报道,研究称:“目标是本文的主要研究内容是通过对刀具切削参数范围的快速准确分析来预测刀具磨损可加工区域为典型难加工材料7075超高强度铝合金。首先,建立了四因素四水平切削有限元仿真模型,并对其范围进行了对正交试验结果进行了分析。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Artificial Intelligence are discussed in a new report. According to newsreporting from Shaanxi, People’s Re public of China, by NewsRx journalists, research stated, “The objectiveof this research is to predict tool wear by quickly and accurately analyzing the cutting parameters range ofthe machinable area that the typical hard-to-machine materi al, 7075 ultra-high-strength aluminum alloy.Firstly, the four-factor and four-l evel cutting finite element simulation model is established, and the rangeanaly sis of the orthogonal experiment results is carried out.”

Key words

Shaanxi/People’s Republic of China/Asi a/Aluminum/Artificial Intelligence/Cyborgs/Emerging Technologies/Light Meta ls/Machine Learning/Mathematics/Numerical Modeling/Xi’an Technological Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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