Numerical modelling of heat transfer and experimental validation in powder-bed fusion with the virtual domain approximation

Among metal additive manufacturing technologies, powder-bed fusion features very thin layers and rapid solidification rates, leading to long build jobs and a highly localized process. Many efforts are being devoted to accelerate simulation times for practical industrial applications. The new approac...

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Detalles Bibliográficos
Autores: Miranda Neiva, Eric|||0000-0002-1220-9624, Chiumenti, Michele|||0000-0002-6286-7393, Cervera Ruiz, Miguel|||0000-0003-3437-6703, Salsi, Emilio|||0000-0003-0853-4739, Piscopo, Gabriele, Badia, Santiago|||0000-0003-2391-4086, Martín Huertas, Alberto Francisco|||0000-0001-5751-4561, Chen, Zhuoer, Lee, Caroline, Davies, Christopher
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/172674
Acceso en línea:https://hdl.handle.net/2117/172674
https://dx.doi.org/10.1016/j.finel.2019.103343
Access Level:acceso abierto
Palabra clave:Manufacturing processes--Mathematical models
Additive Manufacturing (AM)
Powder-bed fusion (PBF)
Selective laser melting (SLM)
Finite elements (FE)
Thermal Analysis
High performance computing (HPC)
Fabricació -- Models matemàtics
Àrees temàtiques de la UPC::Enginyeria dels materials::Metal·lúrgia
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits
Descripción
Sumario:Among metal additive manufacturing technologies, powder-bed fusion features very thin layers and rapid solidification rates, leading to long build jobs and a highly localized process. Many efforts are being devoted to accelerate simulation times for practical industrial applications. The new approach suggested here, the virtual domain approximation, is a physics-based rationale for spatial reduction of the domain in the thermal finite-element analysis at the part scale. Computational experiments address, among others, validation against a large physical experiment of 17.5[cm3]of deposited volume in 647 layers. For fast and automatic parameter estimation at such level of complexity, a high-performance computing framework is employed. It couples FEMPAR-AM,a specialized parallel finite-element software, with Dakota, for the parametric exploration. Compared to previous state-of-the-art, this formulation provides higher accuracy at the same computational cost. This sets the path to a fully virtualized model, considering an upwards-moving domain covering the last printed layers.