An Overview on Metal Processing using Machine Learning

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Volume: 12 | Issue: 1 | Year 2026 | Subscription
International Journal of Manufacturing and Materials Processing
Received Date: 03/13/2026
Acceptance Date: 03/14/2026
Published On: 2026-03-26
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By: Heena T. Shaikh and IR. Dr. Kazi Kutubuddin Sayyad Liyakat.

1. Asst. Professor, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
2. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

Metalworking, which is an important part of modern industry, includes a wide range of steps, such as shaping and casting the metal, machining it, and riveting it. The industry has always relied on trial and error and other empirical methods, but machine learning (ML) is now causing a big change. It is expected that this change will lead to higher production, better product quality, and better use of resources. The objective of this study is to examine the application of machine learning in metal processing and to highlight the transformative potential of this emerging technology across many phases of the manufacturing process. Machine learning offers a robust framework for analysing complex datasets generated during the manufacturing lifecycle, presenting a possibility for a transformative shift in the metal processing industry. Using machine learning allows for real-time optimisation, finding problems before they happen, and better management of processes. This is done by algorithms that can find patterns and make predictions. There are many benefits to this, including less waste of materials, more productivity, better product quality, and more efficient use of energy. Some of the many uses are finding defects and automating quality control. Other uses include figuring out what materials will be like and making process parameters work better. This article looks at how machine learning can be used in the metal processing industry and how it could change the future of this field.

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How to cite this article: Heena T. Shaikh and IR. Dr. Kazi Kutubuddin Sayyad Liyakat An Overview on Metal Processing using Machine Learning. International Journal of Manufacturing and Materials Processing. 2026; 12(1): -p.

How to cite this URL: Heena T. Shaikh and IR. Dr. Kazi Kutubuddin Sayyad Liyakat, An Overview on Metal Processing using Machine Learning. International Journal of Manufacturing and Materials Processing. 2026; 12(1): -p. Available from:https://journalspub.com/publication/ijmmp/article=26141

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