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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63765
Volume:
10 |
5 |
May 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MECHANICAL ENGINEERING
NSRIT ENGINEERING COLLEGE
MECHANICAL ENGINEERING
NSRIT ENGINEERING COLLEGE
MECHANICAL ENGINEERING
NSRIT ENGINEERING COLLEGE
MECHANICAL ENGINEERING
NSRIT ENGINEERING COLLEGE
MECHANICAL ENGINEERING
NSRIT ENGINEERING COLLEGE
Artificial Intelligence (Al) is coming to mainstream and as emerged as a transformative force in various fields not just limited including mechanical engineering. This paper provides an overview of the profound impact of Al on the practice and evolution of mechanical engineering. The usage of Al technologies in the field of mechanical engineering has potential revolutionize traditional design, manufacturing, and to maintenance processes. With Al-powered design tools engineers now can generate optimized designs faster with greater efficiency, leading to enhanced product performance and reduced development cycles. Further, Predictive/forecasting method of Al in maintenance systems facilitate early detection of equipment failures, thereby minimizing downtime and maintenance costs.
KEYWORDS
In conclusion, with rapid transformation in digital ecosystem Al in mechanical engineering has potential to leave monumental shift that can redefine the industry's processes and have profound impact to this capabilities. Al powered systems with functionality of predictive maintenance automation in manufacturing process, have demonstrated businesses can harness their ability to optimize process improve product design, and alter traditional engineering practices. In Further, businesses can leveraging on Al capabilities can get deep understanding and insights that can help mechanical engineers to achieve higher levels of precision, reliability and innovation in their endeavors.
In conclusion, with rapid transformation in digital ecosystem Al in mechanical engineering has potential to leave monumental shift that can redefine the industry's processes and have profound impact to this capabilities. Al powered systems with functionality of predictive maintenance automation in manufacturing process, have demonstrated businesses can harness their ability to optimize process improve product design, and alter traditional engineering practices. In Further, businesses can leveraging on Al capabilities can get deep understanding and insights that can help mechanical engineers to achieve higher levels of precision, reliability and innovation in their endeavors.
Publication Date
5/22/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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