Journal
FINITE ELEMENTS IN ANALYSIS AND DESIGN
Volume 168, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.finel.2019.103343
Keywords
Additive manufacturing (AM); Powder-bed fusion (PBF); Selective laser melting (SLM); Finite elements (FE); Thermal analysis; High performance computing (HPC)
Categories
Funding
- EC -International Cooperation in Aero-nautics with China (Horizon 2020) under the EMUSIC project (Efficient Manufacturing for Aerospace Components USing Additive Manufacturing, Net Shape HIP and Investment Casting)
- EC -Factories of the Future (FoF) Programme under the CA x Man Project (Computer Aided Technologies for Additive Manufacturing) within Horizon 2020 Framework Programme
- Spanish Government-MINECO-Proyectos de I + D (Excelencia) [DPI2017-85998-P]
- Catalan Government [2019 FI-B2-00090, 2018 FI-B1-00095, 2017 FI-B-00219]
- European Union [746250]
- Catalan Government through the ICREA Academia Research Program
- CERCA Programme/Generalitat de Catalunya
- Science & Industry Endowment Fund [RP04-153]
- Australian Research Council Industrial Transformation Research Hub for Transforming Australia's Manufacturing Industry through High Value Additive Manufacturing [IH130100008]
- Safran Power Units
- Amaero Engineering
- Marie Curie Actions (MSCA) [746250] Funding Source: Marie Curie Actions (MSCA)
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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 [cm(3)] 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.
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