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The Role of Computational Approaches in Additive Manufacturing for Medical Applications

The Role of Computational Approaches in Additive Manufacturing for Medical Applications
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Author(s): Jayashri Narayanan Nair (Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Sanga Reddy, India), Annapoorna M. S. (Department of Mathematics, BMS Institute of Technology and Management, Bengaluru, India), Madhu P. (Department of Mechanical Engineering, Malnad College of Engineering, Hassan, India), Shreenidhi K. S. (Department of Biotechnology, Rajalakshmi Engineering College, Chennai, India)and Harishchander Anandaram (Department of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India)
Copyright: 2025
Pages: 26
Source title: Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials
Source Author(s)/Editor(s): Kamalakanta Muduli (Papua New Guinea University of Technology, Papua New Guinea), Bikash Ranjan Moharana (Papua New Guinea University of Technology, Papua New Guinea), Steve Korakan Ales (Papua New Guinea University of Technology, Papua New Guinea)and Dillip Kumar Biswal (Aryan Institute of Engineering and Technology, Bhubaneswar, India)
DOI: 10.4018/979-8-3693-7974-5.ch023

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Abstract

This chapter presents the major role of computational methods in driving additive manufacturing (AM) toward medical applications. Additive manufacturing technology for instance, through 3D printing, has seen the medical application evolve into creating personalized implants, prosthetics, and surgical guides. Computational methods like CAD, FEA, and optimization algorithms are crucial in designing complex medical devices and simulating their performance. Computational techniques are used to enhance the accuracy, functionality, and customization of medical products, enabling material selection, mechanical performance prediction, and process improvement in the manufacturing process. The chapter discusses the transformative impact of technologies like implants, bioprinting, and personalized medicine, highlighting the potential of computational approaches and additive manufacturing in shaping future healthcare innovation.

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