Artificial intelligence based tool condition monitoring for digital twins and industry 4.0 applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12008-022-01050-5.pdf
Reference131 articles.
1. Muthuswamy, P., Nagarajan, S.K.: Experimental Investigation on the Effect of Different Micro-Geometries on Cutting Edge and Wiper Edge on Surface Roughness and Forces in Face Milling. Lubricants. 9(10), 102 (2021). https://doi.org/10.3390/lubricants9100102
2. Mohanraj, T., Shankar, S., Rajasekar, R., Sakthivel, N.R., Pramanik, A.: Tool condition monitoring techniques in milling process-a review. J. Mater. Res. Technol. 9(1), 1032–1042 (2020). https://doi.org/10.1016/j.jmrt.2019.10.031
3. Lister, P.M., Barrow, G.: Tool Condition Monitoring Systems. In: Davies B.J. (eds) Proceedings of the Twenty-Sixth International Machine Tool Design and Research Conference. Palgrave, London. (1986). https://doi.org/10.1007/978-1-349-08114-1_36
4. Atli, A.V., Urhan, O.Ä.U., Z. H. A. N., Ertürk, S.A.R.P., Sönmez, M.: A computer vision-based fast approach to drilling tool condition monitoring. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(9), 1409–1415. (2006). https://doi.org/10.1243/09544054JEM412
5. Nitin Ambhore, D., Kamble, S., Chinchanikar, V., Wayal: Tool Condition Monitoring System: A Review, Materials Today: Proceedings, Volume 2, Issues 4–5, Pages 3419–3428, (2015). https://doi.org/10.1016/j.matpr.2015.07.317
Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Digital-Twin virtual model real-time construction via spatio-temporal cascade reconstruction for full-field plastic deformation monitoring in metal tube bending manufacturing;Robotics and Computer-Integrated Manufacturing;2025-02
2. Real-time tool condition monitoring with the internet of things and machine learning algorithms;International Journal of Computer Integrated Manufacturing;2024-09-06
3. Topography simulation of free-form surface ball-end milling through partial discretization of linearised toolpaths;Engineering Science and Technology, an International Journal;2024-07
4. Digital Twin Enabled Asset Management of Machine Tools;2024 IEEE International Conference on Prognostics and Health Management (ICPHM);2024-06-17
5. Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools;Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II;2024-06-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3