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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

WJERT Citation

  All Since 2020
 Citation  172  110
 h-index  7  5
 i10-index  1  0

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Abstract

DATA-DRIVEN MECHANICAL SYSTEM DESIGN USING SYSTEMS ENGINEERING AND BIG DATA PRINCIPLES

*Riyan Mohammed

ABSTRACT

In the evolving landscape of engineering, the integration of data-driven methodologies into mechanical system design is transforming traditional approaches. This paper presents a multidisciplinary case study that combines mechanical engineering principles—such as thermal analysis, structural design, and finite element modeling—with data science, systems engineering, and statistical techniques. Drawing from core concepts in CAD, FEM, and heat transfer, this workleverages Big Data and Systems Engineering Analysis to explore optimized workflows for predictive maintenance, performance simulation, and component validation. This study also highlights relevant frameworks, such as those used in autonomous vehicle validation pipelines [Sharfuddin, 2025], to emphasize the growing importance of cross-domain engineering knowledge. The findings advocate for a curriculum and research model that fuses mechanical fundamentals with computational intelligence for next-generation design applications.

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