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Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling

This article is related to research article entitled “Resolution, energy and time dependency on layer scaling in finite element modelling of laser beam powder bed fusion additive manufacturing” [1]. This data article presents a computationally efficient approximation of part-powder interface conduct...

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Detalles Bibliográficos
Autores principales: Zhang, Wenyou, Tong, Mingming, Harrison, Noel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806439/
https://www.ncbi.nlm.nih.gov/pubmed/31656832
http://dx.doi.org/10.1016/j.dib.2019.104559
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author Zhang, Wenyou
Tong, Mingming
Harrison, Noel M.
author_facet Zhang, Wenyou
Tong, Mingming
Harrison, Noel M.
author_sort Zhang, Wenyou
collection PubMed
description This article is related to research article entitled “Resolution, energy and time dependency on layer scaling in finite element modelling of laser beam powder bed fusion additive manufacturing” [1]. This data article presents a computationally efficient approximation of part-powder interface conduction heat transfer, as convection heat transfer, thus eliminating the need for powder elements in the finite element model. The heat loss profile due to part-powder conduction was first characterised for a Ti6Al4V Powder Bed Fusion process. Cooling rate data was obtained for a range of powder in-plane depths. A matching cooling rate profile was obtained from free convection from the part surface, by calibration of the convection coefficient.
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spelling pubmed-68064392019-10-25 Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling Zhang, Wenyou Tong, Mingming Harrison, Noel M. Data Brief Engineering This article is related to research article entitled “Resolution, energy and time dependency on layer scaling in finite element modelling of laser beam powder bed fusion additive manufacturing” [1]. This data article presents a computationally efficient approximation of part-powder interface conduction heat transfer, as convection heat transfer, thus eliminating the need for powder elements in the finite element model. The heat loss profile due to part-powder conduction was first characterised for a Ti6Al4V Powder Bed Fusion process. Cooling rate data was obtained for a range of powder in-plane depths. A matching cooling rate profile was obtained from free convection from the part surface, by calibration of the convection coefficient. Elsevier 2019-09-23 /pmc/articles/PMC6806439/ /pubmed/31656832 http://dx.doi.org/10.1016/j.dib.2019.104559 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Zhang, Wenyou
Tong, Mingming
Harrison, Noel M.
Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
title Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
title_full Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
title_fullStr Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
title_full_unstemmed Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
title_short Data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
title_sort data on a computationally efficient approximation of part-powder conduction as surface free convection in powder bed fusion process modelling
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806439/
https://www.ncbi.nlm.nih.gov/pubmed/31656832
http://dx.doi.org/10.1016/j.dib.2019.104559
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