Intelligent Cyber-Physical Monitoring and Control of I4.0 Machining Systems - An Overview and Future Perspectives
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Aerospace Manufacturing Technology Centre, National Research Council Canada
Mechanical Engineering Department, McGill University, Canada
M. Helmi Attia   

Mechanical Engineering / Aerospace Manufacturing Technology Centre, McGill University / National Research Council Canada, 2107, chemin de la Polytechnique, H3T 1J4, Montréal, Canada
Submission date: 2022-01-22
Final revision date: 2022-03-03
Acceptance date: 2022-03-05
Online publication date: 2022-03-08
Publication date: 2022-03-30
Journal of Machine Engineering 2022;22(1):5–24
Rapid evolution in sensing, data analysis, and industrial internet of things technologies had enabled the manufacturing of advanced smart tooling. This has been fused with effective digital inter-connectivity and integrated process control intelligence to form the industry I4.0 platform. This keynote paper presents the recent advances in smart tooling and intelligent control techniques for machining processes. Self-powered wireless sensing nodes have been utilized for non-intrusive measurement of process-born phenomena near the cutting zone, as well as tool wear and tool failure, to increase confidence in the process and tool condition monitoring accuracy. Cyber-physical adaptive control approaches have been developed to optimize the cycle time and cost while eliminating machined part defects. Novel artificial intelligence AI-based signal processing and modeling approaches were developed to guarantee the generalization and practicality of these systems. The paper concludes with the outlook for future work needed for seamless implementation of these developments in industry.
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