A study on additive manufacturing with optimization of artificial intelligence

Volume: 11 | Issue: 02 | Year 2025 | Subscription
International Journal of Computer Aided Manufacturing
Received Date: 09/20/2025
Acceptance Date: 10/27/2025
Published On: 2025-12-18
First Page: 19
Last Page: 40

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By: Nagendra Singh and Manoj Kumar Agrawal.

1 Assistant Professor, Department of Mechanical Engineering, GLA University, Mathura, UP, India-281406
2 Associate Professor, Department of Mechanical Engineering, GLA University, Mathura, UP, India-281406

Abstract

Abstract

The process of producing a three dimensional product layer by layer is called additive manufacturing. This process not  the same as a traditional machining procedure. Chips are taken out of the raw material to create a component in traditional machining. three dimensional printing is another name for additive manufacturing. The benefit of three dimensional printing is that it can create any complex three dimensional item. The culinary, chemical, aerospace, and healthcare industries, among others, have all used three dimensional printing. Many researchers have been focusing on additive manufacturing. This study aims to investigate the potential applications of artificial intelligence in additive manufacturing. Additive manufacturing made possible by artificial intelligence significantly lowers costs. Even though there are a lot of researchers working in the field of artificial intelligence, few of them have paid close attention to how artificial intelligence may be applied in additive manufacturing. The results of recent studies take on particular importance in this regard. Both academicians and practitioners who are interested in conducting additional research can benefit from the future directions that the research findings from the current study offer. Artificial intelligence, which is evolving quickly, can assist robots and devices in seeing, analyzing, and even drawing conclusions that are comparable to those made by humans. This article’s goal is to demonstrate how artificial intelligence approaches, such as machine learning can be applied to the design and oversight of processes in the field of additive manufacturing. The types of data, sources of data, potential variabilities in experimental and simulation data, and the applicability of these data in machine learning algorithms are discussed. There are a number of novel concepts that show how combining these two game-changing technologies could significantly.

Keywords: Machine learning, Artificial Intelligence, Smart manufacturing, Additive manufacturing, Subtractive Manufacturing.

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How to cite this article: Nagendra Singh and Manoj Kumar Agrawal A study on additive manufacturing with optimization of artificial intelligence. International Journal of Computer Aided Manufacturing. 2025; 11(02): 19-40p.

How to cite this URL: Nagendra Singh and Manoj Kumar Agrawal, A study on additive manufacturing with optimization of artificial intelligence. International Journal of Computer Aided Manufacturing. 2025; 11(02): 19-40p. Available from:https://journalspub.com/publication/ijcam/article=22509

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