Cloud-Based Platform for Optimal Machining Parameter Selection Based on Function Blocks and Real-Time Monitoring
Author:
Affiliation:
1. Manufacturing and Materials Department, Cranfield University, College Road, Cranfield MK43 0AL, UK e-mail:
2. Laboratory for Manufacturing Systems and Automation, University of Patras, Patras 26500, Greece e-mail:
Abstract
Publisher
ASME International
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering
Link
http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/doi/10.1115/1.4029806/6267037/manu_137_04_040909.pdf
Reference52 articles.
1. Increasing Availability and Efficiency by Monitoring the Cutting Process in a Lathe During Production With Limited Manpower;CIRP Ann.,1989
2. Mourtzis, D., Doukas, M., Vlachou, A., and Xanthopoulos, N., 2014, “Machine Availability Monitoring for Adaptive Holistic Scheduling: A Conceptual Framework for Mass Customisation,” Proceedings of the Procedia CIRP 8th International Conference on Digital Enterprise Technology—DET, Stuttgart, Germany, Mar. 25–28, pp. 406–413.
3. Process Monitoring With Sensory Machine Tool Components;CIRP Ann.,2010
4. Advanced Monitoring of Machining Operations;CIRP Ann.,2010
Cited by 73 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. Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review;Journal of Sensor and Actuator Networks;2024-09-04
2. Framework for Holistic Online Optimization of Milling Machine Conditions to Enhance Machine Efficiency and Sustainability;Machines;2024-02-23
3. Construction of a Digital Twin Based Monitoring and Early Warning System for Ammonia Equipment;Journal of The Institution of Engineers (India): Series C;2024-01-03
4. Design and Development of an IoT Kit To Predict Cutting Tool Life and Generate Auto Inventory;Journal of Mines, Metals and Fuels;2023-03-15
5. Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects;Measurement;2023-02
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