Analytical Thermal Modeling of Powder Bed Metal Additive Manufacturing Considering Powder Size Variation and Packing.

AlSi10Mg PBMAM analytical thermal modeling powder material property calculation powder size distribution and packing

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
24 Apr 2020
Historique:
received: 02 03 2020
revised: 14 04 2020
accepted: 22 04 2020
entrez: 30 4 2020
pubmed: 30 4 2020
medline: 30 4 2020
Statut: epublish

Résumé

This work presents a computationally efficient predictive model based on solid heat transfer for temperature profiles in powder bed metal additive manufacturing (PBMAM) considering the heat transfer boundary condition and powder material properties. A point moving heat source model is used for the three-dimensional temperature prediction in an absolute coordinate. The heat loss from convection and radiation is calculated using a heat sink solution with a mathematically discretized boundary considering non-uniform temperatures and heat loss at the boundary. Powder material properties are calculated considering powder size statistical distribution and powder packing. The spatially uniform and temperature-independent material properties are employed in the temperature prediction. The presented model was tested in PBMAM of AlSi10Mg under different process conditions. The calculations of material properties are needed for AlSi10Mg because of the significant difference in thermal conductivity between powder form and solid bulk form. Close agreement is observed upon experimental validation on the molten pool dimensions.

Identifiants

pubmed: 32344571
pii: ma13081988
doi: 10.3390/ma13081988
pmc: PMC7215875
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Boeing
ID : Confidential

Références

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Auteurs

Jinqiang Ning (J)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USA.

Wenjia Wang (W)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USA.

Xuan Ning (X)

School of Mathematics, Georgia Institute of Technology, 686 Cherry St NW, Atlanta, GA 30332, USA.

Daniel E Sievers (DE)

The Boeing Company, 499 Boeing Boulevard, Huntsville, AL 35824, USA.

Hamid Garmestani (H)

School of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, GA 30332, USA.

Steven Y Liang (SY)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USA.

Classifications MeSH