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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Future of precision manufacturing: Integrating advanced metrology and intelligent monitoring for process optimization

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  • Future of precision manufacturing: Integrating advanced metrology and intelligent monitoring for process optimization

Adeniyi Kehinde Adeleke 1, *, Emmanuel Chigozie Ani 2, Kehinde Andrew Olu-lawal 3, Oladiran Kayode Olajiga 4 and Danny Jose Portillo Montero 5

1 Center for Precision Metrology & Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte, NC, USA.
2 Department of Electrical Engineering, The University of Nebraska-Lincoln, USA.
3 Niger Delta Power Holding Compnay, Akure, Nigeria.
4 Independent Researcher, UK.
5 Department of Metallurgical and Materials Engineering, The University of Alabama, USA.
 
Research Article
 
International Journal of Science and Research Archive, 2024, 11(01), 2346–2355.
Article DOI: 10.30574/ijsra.2024.11.1.0335
DOI url: https://doi.org/10.30574/ijsra.2024.11.1.0335
Received on 13 January 2024; revised on 18 February 2024; accepted on 21 February 2024
 
Precision manufacturing is undergoing a transformative evolution fueled by the integration of advanced metrology techniques and intelligent monitoring systems. This abstract explores the future trajectory of precision manufacturing through the convergence of these technologies, focusing on their synergistic role in process optimization. Advanced metrology techniques, including high-resolution imaging, laser scanning, and non-contact surface measurement, provide unprecedented levels of accuracy and detail in capturing dimensional data. These techniques enable manufacturers to precisely analyze component geometry, surface finish, and tolerances, facilitating the production of parts with exceptional precision and quality. Moreover, the integration of metrology within the manufacturing process allows for real-time feedback, enabling rapid adjustments and corrections to ensure adherence to design specifications. Intelligent monitoring systems complement advanced metrology by continuously collecting data from various sensors embedded within manufacturing equipment. These systems utilize artificial intelligence (AI) and machine learning algorithms to analyze vast amounts of data in real-time, detecting anomalies, predicting equipment failures, and optimizing process parameters. By leveraging data-driven insights, manufacturers can enhance production efficiency, minimize downtime, and reduce scrap rates. The synergy between advanced metrology and intelligent monitoring extends beyond quality control to encompass holistic process optimization. Through the seamless integration of these technologies, manufacturers can achieve unparalleled levels of precision, efficiency, and flexibility in their operations. For instance, real-time metrology feedback combined with AI-driven monitoring enables adaptive manufacturing processes that dynamically adjust parameters based on changing environmental conditions or material properties. Furthermore, the future of precision manufacturing lies in the adoption of a digital twin approach, where virtual replicas of physical manufacturing systems are created and synchronized with real-time data. This enables predictive maintenance, virtual prototyping, and simulation-based optimization, leading to significant cost savings and accelerated innovation cycles. The future of precision manufacturing hinges on the integration of advanced metrology and intelligent monitoring technologies. By harnessing the synergies between these innovations, manufacturers can achieve unprecedented levels of precision, efficiency, and agility, driving forward the evolution of manufacturing in the digital era.
 
Manufacturing; Metrology; Monitoring; Intelligent; Process; Optimization; Review
 
https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-0335.pdf

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