通过机器学习和逆接受耦合预测刀尖动态

IF 2.6 4区 工程技术 Q2 ENGINEERING, MANUFACTURING
Hamid Mostaghimi, Simon S. Park, Dong Yoon Lee, Soohyun Nam, Eunseok Nam
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引用次数: 2

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Tool Tip Dynamics Through Machine Learning and Inverse Receptance Coupling
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来源期刊
International Journal of Precision Engineering and Manufacturing
International Journal of Precision Engineering and Manufacturing ENGINEERING, MANUFACTURING-ENGINEERING, MECHANICAL
CiteScore
4.00
自引率
10.50%
发文量
115
审稿时长
5.4 months
期刊介绍: The International Journal of Precision Engineering and Manufacturing accepts original contributions on all aspects of precision engineering and manufacturing. The journal specific focus areas include, but are not limited to: - Precision Machining Processes - Manufacturing Systems - Robotics and Automation - Machine Tools - Design and Materials - Biomechanical Engineering - Nano/Micro Technology - Rapid Prototyping and Manufacturing - Measurements and Control Surveys and reviews will also be planned in consultation with the Editorial Board.
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