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What is 3DP

Applications of Artificial Intelligence in Additive Manufacturing
Three-dimesnional printing.
Published in Chapter:
Experimental Investigations and Multi-Objective Optimization of Selective Inhibition Sintering Process Using the Dragonfly Algorithm
Siva Kumar M. (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), Rajamani D. (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), and Balsubramanian E. (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)
Copyright: © 2022 |Pages: 18
DOI: 10.4018/978-1-7998-8516-0.ch005
Abstract
The chapter focuses on utilizing a hybrid approach of response surface methodology and dragonfly algorithm for investigations and optimization of the selective inhibition sintering (SIS) process to improve the mechanical strengths such as tensile and flexural of fabricated high density polyethylene parts. The layer thickness (LT), heater energy (HE), heater and printer feedrate (HFR & PFR) are considered as the independent variables for the investigation. The SIS experiments are planned and conducted through a response surface methodology-based box-Behnken design approach to fabricate the test specimens. The optimal SIS parameters are obtained through a swarm intelligence metaheuristic technique namely dragonfly algorithm (DFA). The optimal parameter settings of LT of 0.102 mm, HE of 28.46 J/mm2, HFR of 3.22 mm/sec, and PFR of 110.49 mm/min are achieved through DFA for improved tensile and flexural strengths of 26.21 MPa and 65.71 MPa, respectively. Further, the prediction ability of DFA was compared with particle swarm optimization algorithm.
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More Results
Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes
Three-dimensional printing is also denoted to as AM or additive manufacturing process. In this additive manufacturing process, one makes a design of the desire item by CAD software, and the printer fabricates the desire product by depositing material layer by layer.
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