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Machinability Evaluation and Multi-Objective Optimization of Al-Cu-SiC-Graphene Nano-Platelets Hybrid Composite using Water Jet Machining and Machine Learning

Published: 23-04-2026
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We are proud to share that Mr. Madduri Rajkumar Reddy, Assistant Professor in the Department of Mechanical Engineering at Anurag University, has published a research article titled “Machinability Evaluation and Multi-Objective Optimization of Al-Cu-SiC-Graphene Nano-Platelets Hybrid Composite using Water Jet Machining and Machine Learning Approaches.” The paper has been published in Materials Science and Engineering Technology by Wiley.

The journal is SCIE indexed with an Impact Factor of 1.1, Cite Score of 2.0, H-index of 47, and falls under the Q4 category.

The research focuses on evaluating machinability and optimizing parameters for hybrid composite materials using advanced machining techniques and machine learning models. This work contributes to improving manufacturing efficiency and material performance in engineering applications.

Anurag University takes immense pride in the achievements of its students, faculty, and research scholars. Every individual success is a reflection of the collective commitment to excellence, innovation, and meaningful contribution that defines the institution’s academic culture.

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