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Soft Computing in Parameter/Process Selection in Additive Manufacturing

Publication Type : Book Chapter

Campus : Coimbatore

School : School of Artificial Intelligence

Year : 2025

Abstract : Artificial intelligence (AI) is increasingly becoming a transformative synergy between cutting-edge technologies in modern manufacturing industries. By integrating AI algorithms into the additive manufacturing (AM) process, the process efficiency, precision, and ability for customization are greatly enhanced. AI optimizes design processes through generative algorithms, creating intricate structures that human designers might overlook. In the realm of production, AI streamlines workflows, minimizing errors, and reducing material waste. Real-time monitoring and adaptive control systems powered by AI ensure quality and consistency during printing. Overall, the integration of AI in AM not only accelerates innovation but also paves the way for a more sustainable and agile manufacturing future. In this chapter, the key process parameters in various AM techniques are identified, and the impact of AI in parameter optimization as well as process selection in various AM processes is discussed.

Cite this Research Publication : “Soft Computing in Parameter / Process Selection in Additive Manufacturing”, G. Syam Prasad, Neelesh Ashok* (Correspondence), S. Sachin Kumar, Taniya Rose Abraham, Advances in Solid-State Welding and Processing of Metallic Materials, 1st Edition, CRC Press, 2025, e ISBN 9781003513926.

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