Smart Automation Systems for Precision Engineering Applications
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DOI:
https://doi.org/10.67228/30716357/IJMRSE-2023PI1R5QPublished 01-04-2023
Smart Automation, Precision Engineering, Industry 4.0, Intelligent Manufacturing, Industrial Iot, Predictive Maintenance, Machine Learning, Cyber-Physical Systems Issue
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ArticlesHow to Cite
Smart Automation Systems for Precision Engineering Applications. (2023). International Journal of Modern Research in Science & Engineering, 6(1), 01-14. https://doi.org/10.67228/30716357/IJMRSE-2023PI1R5QAbstract
Precision engineering is a critical manufacturing field that demands high dimensional accuracy, repeatability, productivity, and quality. With the rise of Industry 4.0, smart automation systems integrating cyber-physical systems, IIoT, machine learning, intelligent control, and real-time monitoring have transformed precision manufacturing. These technologies enable autonomous decision-making, process optimization, predictive maintenance, and improved quality control through advanced sensors, intelligent actuators, and AI-based inspection systems. This survey reviews the evolution of smart automation technologies, examines key research prior to 2018, and proposes an integrated framework combining sensor networks, intelligent controllers, data acquisition, predictive analytics, and automated feedback. The results demonstrate significant improvements in manufacturing accuracy, productivity, defect reduction, machine utilization, and overall equipment effectiveness, highlighting the importance of smart automation in future precision engineering and sustainable manufacturing systems.
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How to Cite
Smart Automation Systems for Precision Engineering Applications. (2023). International Journal of Modern Research in Science & Engineering, 6(1), 01-14. https://doi.org/10.67228/30716357/IJMRSE-2023PI1R5Q