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Optimization and Simulation of Additive Manufacturing Processes: Challenges and Opportunities – A Review
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Author(s): Deepak Kumar Sahini (Birla Institute of Technology, Mesra, India), Joyjeet Ghose (Birla Institute of Technology, Mesra, India), Sanjay Kumar Jha (Birla Institute of Technology, Mesra, India), Ajit Behera (National Institute of Technology, Rourkela, India)and Animesh Mandal (Indian Institute of Technology, Bhubaneswar, India)
Copyright: 2020
Pages: 23
Source title:
Additive Manufacturing Applications for Metals and Composites
Source Author(s)/Editor(s): K.R. Balasubramanian (National Institute of Technology, Tiruchirappalli, India)and V. Senthilkumar (National Institute of Technology, Trichy, India)
DOI: 10.4018/978-1-7998-4054-1.ch010
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Abstract
Additive manufacturing (AM) has developed and gained popularity across the globe into a multi-billion-dollar industry that involves many materials and techniques. AM has created itself as a technology for the manufacturing of metallic parts with enhanced mechanical characteristics that are scientifically sound and commercially feasible. However, there are various challenges, from business point of view, like high machine and material costs. Considering the complexities involved, sustainable manufacturing, optimization tools, and simulation models are necessary in order to save time and costly trial and errors. Topology optimization and simulation of AM processes are commercially available and are receiving attention from scientists and industry. Thus, this chapter is designed to provide readers with a brief introduction to AM technologies with typical applications. The main objective of this chapter is to provide the current trends and innovations in the field of design for additive manufacturing (DFAM), topology optimization, and simulation technologies.
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