An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model

This is the first of two manuscripts that presents a computationally efficient full field deterministic model for laser powder bed fusion (LPBF). A new Hybrid Line (HL) heat input model integrates an exponentially decaying (ED) heat input over a portion of a laser path to significantly reduce the co...

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Autores principales:	Reza Tangestani, Trevor Sabiston, Apratim Chakraborty, Waqas Muhammad, Lang Yuan, Étienne Martin
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	laser powder bed fusion finite element modelling cooling rate melt pool superalloys Technology T
Acceso en línea:	https://doaj.org/article/2c3e09c3cbee4c64a40b0b0c08ea782b
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spelling	oai:doaj.org-article:2c3e09c3cbee4c64a40b0b0c08ea782b2021-11-08T05:35:25ZAn Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model2296-801610.3389/fmats.2021.753040https://doaj.org/article/2c3e09c3cbee4c64a40b0b0c08ea782b2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmats.2021.753040/fullhttps://doaj.org/toc/2296-8016This is the first of two manuscripts that presents a computationally efficient full field deterministic model for laser powder bed fusion (LPBF). A new Hybrid Line (HL) heat input model integrates an exponentially decaying (ED) heat input over a portion of a laser path to significantly reduce the computational time. Experimentally measured properties of the high gamma prime nickel-based superalloy RENÉ 65 are implemented in the model to predict the in-process temperature distribution, stresses, and distortions. The model accounts for specific properties of the material as different phases. The first manuscript presents the HL heat transfer model, which is compared with the beam-scale exponentially decaying model, along with the melt pool geometry obtained experimentally by varying the laser parameters. The predicted melt pool geometry of the beam-scale ED model is shown to have good agreement with experimental measurements. While the proposed HL model exhibits lesser accuracy in predicting the melt pool geometries, it can predict the cooling rates and nodal temperatures as accurately as to the ED model. Moreover, under large time integration steps, the HL model becomes more than 1,500 times faster than the ED model.Reza TangestaniTrevor SabistonApratim ChakrabortyWaqas MuhammadLang YuanÉtienne MartinFrontiers Media S.A.articlelaser powder bed fusionfinite element modellingcooling ratemelt poolsuperalloysTechnologyTENFrontiers in Materials, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	laser powder bed fusion finite element modelling cooling rate melt pool superalloys Technology T
spellingShingle	laser powder bed fusion finite element modelling cooling rate melt pool superalloys Technology T Reza Tangestani Trevor Sabiston Apratim Chakraborty Waqas Muhammad Lang Yuan Étienne Martin An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model
description	This is the first of two manuscripts that presents a computationally efficient full field deterministic model for laser powder bed fusion (LPBF). A new Hybrid Line (HL) heat input model integrates an exponentially decaying (ED) heat input over a portion of a laser path to significantly reduce the computational time. Experimentally measured properties of the high gamma prime nickel-based superalloy RENÉ 65 are implemented in the model to predict the in-process temperature distribution, stresses, and distortions. The model accounts for specific properties of the material as different phases. The first manuscript presents the HL heat transfer model, which is compared with the beam-scale exponentially decaying model, along with the melt pool geometry obtained experimentally by varying the laser parameters. The predicted melt pool geometry of the beam-scale ED model is shown to have good agreement with experimental measurements. While the proposed HL model exhibits lesser accuracy in predicting the melt pool geometries, it can predict the cooling rates and nodal temperatures as accurately as to the ED model. Moreover, under large time integration steps, the HL model becomes more than 1,500 times faster than the ED model.
format	article
author	Reza Tangestani Trevor Sabiston Apratim Chakraborty Waqas Muhammad Lang Yuan Étienne Martin
author_facet	Reza Tangestani Trevor Sabiston Apratim Chakraborty Waqas Muhammad Lang Yuan Étienne Martin
author_sort	Reza Tangestani
title	An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model
title_short	An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model
title_full	An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model
title_fullStr	An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model
title_full_unstemmed	An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model
title_sort	efficient track-scale model for laser powder bed fusion additive manufacturing: part 1- thermal model
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/2c3e09c3cbee4c64a40b0b0c08ea782b
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An Efficient Track-Scale Model for Laser Powder Bed Fusion Additive Manufacturing: Part 1- Thermal Model

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