Thrust Areas

Smart Manufacturing

At the Department of Manufacturing Engineering, our focus is on advancing smart manufacturing through the integration of Industry 4.0 principles, artificial intelligence (AI), machine learning (ML), and data analytics. Through interdisciplinary research and education, we aim to harness the power of digital technologies to revolutionize manufacturing processes and drive innovation. By leveraging Industry 4.0 concepts such as cyber-physical systems and the Internet of Things (IoT), along with AI, ML, and data analytics techniques, we seek to optimize efficiency, quality, and agility in manufacturing operations. Our goal is to empower future manufacturing engineers with the skills and knowledge needed to thrive in the digital era and lead the transformation of the manufacturing industry.

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Sustainable Manufacturing

Sustainable manufacturing is a strategic approach that aims to minimize environmental impact while maximizing economic and social benefits throughout the production lifecycle. At its core, sustainable manufacturing emphasizes resource efficiency, waste reduction, and the adoption of eco-friendly practices and technologies. By integrating sustainability principles into manufacturing processes, organizations can mitigate environmental risks, enhance competitiveness, and meet the growing demand for environmentally responsible products. From renewable energy adoption to circular economy practices, sustainable manufacturing embodies a commitment to environmental stewardship and long-term viability. Through innovation and collaboration, the manufacturing industry can pave the way towards a greener and more sustainable future.

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Additive Manufacturing

Additive Manufacturing, often dubbed 3D printing, revolutionizes traditional manufacturing methods by constructing objects layer by layer from digital models. It encompasses various technologies like Fused Deposition Modeling (FDM), Stereolithography (SLA), and Selective Laser Sintering (SLS). AM offers unparalleled design freedom, enabling intricate geometries and lightweight structures. It reduces material waste, accelerates prototyping, and facilitates on-demand production. From aerospace components to medical implants, its applications span diverse industries, heralding a new era of customizable, efficient manufacturing.

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By the Numbers

219

UG Students

13

PG Students

34

Scholars

15

Faculty

9

Staff

34

Patents

10

Projects

600

Publications

8952

Citations

27

H-Index

Message from the HOD