ISSN:2582-5208

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Paper Key : IRJ************833
Author: Yogender,Harsh Kumar Yadav,A.k. Madan
Date Published: 22 Apr 2024
Abstract
The integration of 5G era into mechanical engineering applications represents a large advance in communication systems and guarantees to reshape various business strategies. This paper explores the transformative capability of 5G connectivity within the subject of mechanical engineering. through a comprehensive literature evaluation, we spotlight the key functions and abilities of 5G networks and emphasize their suitability for addressing the verbal exchange challenges universal inside the engineering domain names. We cope with specific areas where 5G can revolutionize communications, together with actual-time monitoring, remote operation and predictive upkeep. with the aid of enabling excessive-speed information transmission with minimum latency, 5G facilitates seamless verbal exchange between devices, machines and employees, increasing performance, productiveness and protection in mechanical engineering. further, this paper discusses the mixing of new technology which include the net of factors (IoT), synthetic intelligence (AI) and facet computing with 5G networks to open up new possibilities for applications in mechanical engineering. We explore case studies and realistic implementations to illustrate the tangible benefits of introducing 5G connectivity in exclusive business environments. similarly, we deal with the demanding situations and considerations related to enforcing 5G generation in mechanical engineering, inclusive of safety concerns, infrastructure necessities and regulatory components. by means of analyzing modern trends and future possibilities, this paper presents insights into the role of 5G connectivity in driving innovation and changing verbal exchange paradigms within the mechanical engineering area.Keywords: 5G connectivity, Mechanical engineering applications, Real-time monitoring, Remote operation, Predictive maintenance, Internet of Things (IoT), Artificial Intelligence (AI)
DOI LINK : 10.56726/IRJMETS53242 https://www.doi.org/10.56726/IRJMETS53242
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