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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Integration of IoT Sensors for Real-time Monitoring in Machining Operations

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  • Integration of IoT Sensors for Real-time Monitoring in Machining Operations

Aktarasayad Wallibai *

Senior Scale Lecturer, Mechanical Engineering Department, Government Polytechnic, Vijayapura, Karnataka, India.
 
Research Article
World Journal of Advanced Research and Reviews, 2020, 05(01), 155-163
Article DOI: 10.30574/wjarr.2020.5.1.0003
DOI url: https://doi.org/10.30574/wjarr.2020.5.1.0003
 
Received on 14 January 2020; revised on 25 January 2020; accepted on 28 January 2020
 
The integration of Internet of Things (IoT) sensors in machining operations represents a paradigm shift towards Industry 4.0 manufacturing systems. This research investigates the implementation and effectiveness of real-time monitoring systems using IoT sensors in various machining processes. The study examines sensor technologies, data acquisition methods, communication protocols, and analytical frameworks that enable continuous monitoring of cutting parameters, tool condition, vibration patterns, and thermal characteristics during machining operations. Through experimental analysis and case studies, this paper demonstrates significant improvements in production efficiency, quality control, and predictive maintenance capabilities when IoT-enabled monitoring systems are deployed in manufacturing environments.
 
IoT; Industry 4.0; Sensors; Machine Operation.
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2020-0003.pdf

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Aktarasayad Wallibai. Integration of IoT Sensors for Real-time Monitoring in Machining Operations. World Journal of Advanced Research and Reviews, 2020, 5(1), 155-163 . Article DOI: https://doi.org/10.30574/wjarr.2020.5.1.0003

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