| DOI | Resolve DOI: https://doi.org/10.36897/jme/147157 |
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| Author | Search for: Hassan, Mahmoud1; Search for: Sadek, Ahmad1; Search for: Attia, M. Helmi1 |
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| Affiliation | - National Research Council of Canada. Aerospace
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| Format | Text, Article |
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| Subject | machining; adaptive control; tool condition monitoring; cyber-physical system |
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| Abstract | 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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| Publication date | 2022-03-08 |
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| Publisher | Wroclaw Board of Scientific Technical |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 51ca814d-17a2-43c8-a58a-ba3ae44f5f7d |
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| Record created | 2024-02-12 |
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| Record modified | 2024-02-12 |
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