Fast vacuum plume prediction using a convolutional neural networks-based direct simulation Monte Carlo method-Reference-Cited by-同舟云学术

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Fast vacuum plume prediction using a convolutional neural networks-based direct simulation Monte Carlo method

Published:2022-10 Issue: Volume:129 Page:107852
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Cai Guobiao,Zhang Baiyi^ORCID,Liu Lihui^ORCID,Weng Huiyan^ORCID,Wang Weizong^ORCID,He Bijiao^ORCID

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference46 articles.

1. Research on vacuum plume and its effects;He;Chin. J. Aeronaut.,2013

2. Numerical simulation on thermal and mass diffusion of MMH–NTO bipropellant thruster plume flow using global kinetic reaction model;Lee;Aerosp. Sci. Technol.,2019

3. Starting transients in second throat vacuum ejectors for high altitude testing facilities;Bharate;Aerosp. Sci. Technol.,2021

4. On the apparent permeability of porous media in rarefied gas flows;Wu;J. Fluid Mech.,2017

5. Computational methods for pore-scale simulation of rarefied gas flow;Gu;Comput. Fluids,2021

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