Thermo-fluid-metallurgical modelling of the selective laser melting process chain

David De Baere; Mohamad Bayat; Sankhya Mohanty; Jesper Hattel

doi:10.1016/j.procir.2018.08.035

Thermo-fluid-metallurgical modelling of the selective laser melting process chain

David De Baere^*, Mohamad Bayat, Sankhya Mohanty, Jesper Hattel

^*Corresponding author for this work

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Abstract

The entire process chain of selective laser melting of Ti-6Al-4V is analysed. First, a thermo-fluid dynamical model is used to investigate the temperature profile during the process and estimate the size and shape of the melt pool. The inclusion of the Marangoni effect improves upon previous work by showing the liquid velocity in the melt pool. Next, this information allows us to estimate the morphology of the grains of a part produced by selective laser melting. Finally, a cellular automata is used to model the microstructural evolution during a uniform heat treatment at the beta transus temperature. It is shown that the model shows good agreement with earlier experimental results.

Original language	English
Journal	Procedia CIRP
Volume	74
Pages (from-to)	87-91
ISSN	2212-8271
DOIs	https://doi.org/10.1016/j.procir.2018.08.035
Publication status	Published - 2018
Event	10th CIRP Conference on Photonic Technologies - Fürth, Germany Duration: 3 Sept 2018 → 6 Sept 2018 Conference number: 10

Conference

Conference	10th CIRP Conference on Photonic Technologies
Number	10
Country/Territory	Germany
City	Fürth
Period	03/09/2018 → 06/09/2018

Bibliographical note

This is an open access article under the CC BY-NC-ND license

Keywords

Selective laser melting
Computational fluid dynamics
Microstructural modelling
Thermal modelling
Ti6Al4V

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title = "Thermo-fluid-metallurgical modelling of the selective laser melting process chain",

abstract = "The entire process chain of selective laser melting of Ti-6Al-4V is analysed. First, a thermo-fluid dynamical model is used to investigate the temperature profile during the process and estimate the size and shape of the melt pool. The inclusion of the Marangoni effect improves upon previous work by showing the liquid velocity in the melt pool. Next, this information allows us to estimate the morphology of the grains of a part produced by selective laser melting. Finally, a cellular automata is used to model the microstructural evolution during a uniform heat treatment at the beta transus temperature. It is shown that the model shows good agreement with earlier experimental results.",

keywords = "Selective laser melting, Computational fluid dynamics, Microstructural modelling, Thermal modelling, Ti6Al4V",

author = "{De Baere}, David and Mohamad Bayat and Sankhya Mohanty and Jesper Hattel",

note = "This is an open access article under the CC BY-NC-ND license; 10th CIRP Conference on Photonic Technologies ; Conference date: 03-09-2018 Through 06-09-2018",

year = "2018",

doi = "10.1016/j.procir.2018.08.035",

language = "English",

volume = "74",

pages = "87--91",

journal = "Procedia CIRP",

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T1 - Thermo-fluid-metallurgical modelling of the selective laser melting process chain

AU - De Baere, David

AU - Bayat, Mohamad

AU - Mohanty, Sankhya

AU - Hattel, Jesper

N1 - Conference code: 10

PY - 2018

Y1 - 2018

N2 - The entire process chain of selective laser melting of Ti-6Al-4V is analysed. First, a thermo-fluid dynamical model is used to investigate the temperature profile during the process and estimate the size and shape of the melt pool. The inclusion of the Marangoni effect improves upon previous work by showing the liquid velocity in the melt pool. Next, this information allows us to estimate the morphology of the grains of a part produced by selective laser melting. Finally, a cellular automata is used to model the microstructural evolution during a uniform heat treatment at the beta transus temperature. It is shown that the model shows good agreement with earlier experimental results.

AB - The entire process chain of selective laser melting of Ti-6Al-4V is analysed. First, a thermo-fluid dynamical model is used to investigate the temperature profile during the process and estimate the size and shape of the melt pool. The inclusion of the Marangoni effect improves upon previous work by showing the liquid velocity in the melt pool. Next, this information allows us to estimate the morphology of the grains of a part produced by selective laser melting. Finally, a cellular automata is used to model the microstructural evolution during a uniform heat treatment at the beta transus temperature. It is shown that the model shows good agreement with earlier experimental results.

KW - Selective laser melting

KW - Computational fluid dynamics

KW - Microstructural modelling

KW - Thermal modelling

KW - Ti6Al4V

U2 - 10.1016/j.procir.2018.08.035

DO - 10.1016/j.procir.2018.08.035

M3 - Conference article

AN - SCOPUS:85057357835

SN - 2212-8271

VL - 74

SP - 87

EP - 91

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 10th CIRP Conference on Photonic Technologies

Y2 - 3 September 2018 through 6 September 2018

ER -

Thermo-fluid-metallurgical modelling of the selective laser melting process chain

Abstract

Conference

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Keywords

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