Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals

The microstructure of the metal is formed in process when fabricated using additive manufacturing (AM). The microstructure determines the mechanical properties of the metal and being able to predict what microstructure would form would be beneficial. This research uses simulations to predict the gra...

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Main Author: Tan, Joel Heang Kuan
Other Authors: Yeong Wai Yee
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/152034
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1520342023-03-11T17:49:51Z Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals Tan, Joel Heang Kuan Yeong Wai Yee School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing WYYeong@ntu.edu.sg Engineering::Mechanical engineering The microstructure of the metal is formed in process when fabricated using additive manufacturing (AM). The microstructure determines the mechanical properties of the metal and being able to predict what microstructure would form would be beneficial. This research uses simulations to predict the grain structure. Powder bed fusion of metal using laser (PBF-L/M), often called selective laser melting (SLM), was simulated. Two models were developed, a finite element method (FEM) thermal model that translated the process parameter to temperature profiles of the moving melt pool and a cellular automata microstructure model that uses the temperature profile from the FEM model and simulate the grain growth resulting in a grain structure. Two materials, stainless steel 316L (SS 316L) and Ti34Nb, were simulated and validated with experiments. Simulated melt pool dimensions of both materials were close to experiment results. The grain structure of the SS 316L showed similar patterns found in experiments. The grain width of the Ti34Nb had some differences with experimental results likely due to the unmelted niobium causing nucleation sites that is not accounted for in the model. Simulation of both materials would require simulating multiple layers to properly relate to the electron backscatter diffraction (EBSD) results. Master of Engineering 2021-07-16T00:20:23Z 2021-07-16T00:20:23Z 2021 Thesis-Master by Research Tan, J. H. K. (2021). Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/152034 https://hdl.handle.net/10356/152034 10.32657/10356/152034 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
spellingShingle Engineering::Mechanical engineering
Tan, Joel Heang Kuan
Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
description The microstructure of the metal is formed in process when fabricated using additive manufacturing (AM). The microstructure determines the mechanical properties of the metal and being able to predict what microstructure would form would be beneficial. This research uses simulations to predict the grain structure. Powder bed fusion of metal using laser (PBF-L/M), often called selective laser melting (SLM), was simulated. Two models were developed, a finite element method (FEM) thermal model that translated the process parameter to temperature profiles of the moving melt pool and a cellular automata microstructure model that uses the temperature profile from the FEM model and simulate the grain growth resulting in a grain structure. Two materials, stainless steel 316L (SS 316L) and Ti34Nb, were simulated and validated with experiments. Simulated melt pool dimensions of both materials were close to experiment results. The grain structure of the SS 316L showed similar patterns found in experiments. The grain width of the Ti34Nb had some differences with experimental results likely due to the unmelted niobium causing nucleation sites that is not accounted for in the model. Simulation of both materials would require simulating multiple layers to properly relate to the electron backscatter diffraction (EBSD) results.
author2 Yeong Wai Yee
author_facet Yeong Wai Yee
Tan, Joel Heang Kuan
format Thesis-Master by Research
author Tan, Joel Heang Kuan
author_sort Tan, Joel Heang Kuan
title Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
title_short Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
title_full Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
title_fullStr Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
title_full_unstemmed Modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
title_sort modelling of grain structure using cellular automata-finite element method for additive manufacturing of metals
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/152034
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