SIERRA mechanics for coupled multi-physics modeling of salt repositories

2012 ◽  
pp. 427-438
Keyword(s):  
Physics Modeling

scholarly journals Review of Multi-Physics Modeling on the Active Magnetic Regenerative Refrigeration

2021 ◽  
Vol 26 (2) ◽  
pp. 47
Author(s):  
Julien Eustache ◽  
Antony Plait ◽  
Frédéric Dubas ◽  
Raynal Glises
Keyword(s):  
Magnetic Field ◽  
Low Temperatures ◽  
Room Temperature ◽  
State Of The Art ◽  
Vapor Compression ◽  
Crucial Step ◽  
Potential Alternative ◽  
Vapor Compression Refrigeration ◽  
Preliminary Study ◽  
Physics Modeling

Compared to conventional vapor-compression refrigeration systems, magnetic refrigeration is a promising and potential alternative technology. The magnetocaloric effect (MCE) is used to produce heat and cold sources through a magnetocaloric material (MCM). The material is submitted to a magnetic field with active magnetic regenerative refrigeration (AMRR) cycles. Initially, this effect was widely used for cryogenic applications to achieve very low temperatures. However, this technology must be improved to replace vapor-compression devices operating around room temperature. Therefore, over the last 30 years, a lot of studies have been done to obtain more efficient devices. Thus, the modeling is a crucial step to perform a preliminary study and optimization. In this paper, after a large introduction on MCE research, a state-of-the-art of multi-physics modeling on the AMRR cycle modeling is made. To end this paper, a suggestion of innovative and advanced modeling solutions to study magnetocaloric regenerator is described.

ISPD 2021 Wafer-Scale Physics Modeling Contest

2021 ◽  
Author(s):  
Patrick Groeneveld ◽  
Michael James ◽  
Vladimir Kibardin ◽  
Ilya Sharapov ◽  
Marvin Tom ◽  
...  
Keyword(s):  
Wafer Scale ◽  
Physics Modeling

Multi-physics modeling of direct energy deposition process of thin-walled structures: defect analysis

2021 ◽  
Vol 67 (4) ◽  
pp. 1229-1242
Author(s):  
Shuhao Wang ◽  
Lida Zhu ◽  
Yichao Dun ◽  
Zhichao Yang ◽  
Jerry Ying Hsi Fuh ◽  
...  
Keyword(s):  
Energy Deposition ◽  
Deposition Process ◽  
Defect Analysis ◽  
Direct Energy Deposition ◽  
Thin Walled Structures ◽  
Direct Energy ◽  
Thin Walled ◽  
Physics Modeling

scholarly journals Artificial generation of representative single Li-ion electrode particle architectures from microscopy data

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Orkun Furat ◽  
Lukas Petrich ◽  
Donal P. Finegan ◽  
David Diercks ◽  
Francois Usseglio-Viretta ◽  
...  
Keyword(s):  
Focused Ion Beam ◽  
Electron Backscatter Diffraction ◽  
Ion Beam ◽  
Lithium Ion ◽  
Scale Model ◽  
Multi Scale ◽  
Physics Modeling ◽  
Microscopy Data ◽  
Microscopy Techniques ◽  
Backscatter Diffraction

AbstractAccurately capturing the architecture of single lithium-ion electrode particles is necessary for understanding their performance limitations and degradation mechanisms through multi-physics modeling. Information is drawn from multimodal microscopy techniques to artificially generate LiNi0.5Mn0.3Co0.2O2 particles with full sub-particle grain detail. Statistical representations of particle architectures are derived from X-ray nano-computed tomography data supporting an ‘outer shell’ model, and sub-particle grain representations are derived from focused-ion beam electron backscatter diffraction data supporting a ‘grain’ model. A random field model used to characterize and generate the outer shells, and a random tessellation model used to characterize and generate grain architectures, are combined to form a multi-scale model for the generation of virtual electrode particles with full-grain detail. This work demonstrates the possibility of generating representative single electrode particle architectures for modeling and characterization that can guide synthesis approaches of particle architectures with enhanced performance.

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