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过程工程研究所 [2]
长春光学精密机械与物... [1]
上海应用物理研究所 [1]
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会议论文 [2]
期刊论文 [2]
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2023 [1]
2019 [1]
2016 [1]
2011 [1]
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A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed
期刊论文
OAI收割
KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2023, 卷号: 40, 期号: 1, 页码: 57-66
作者:
Qin, Pengfei
;
Xia, Zhaojie
;
Guo, Li
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收藏
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浏览/下载:0/0
  |  
提交时间:2023/05/19
Gas-solid Fluidized Bed
CFD Surrogate Model
Deep Learning
Multi-scale Convolutional Neural Network
Voidage Distribution Prediction
Bubble formation and evolution behavior from vertical wall orifice
期刊论文
OAI收割
NUCLEAR SCIENCE AND TECHNIQUES, 2019, 卷号: 30, 期号: 12, 页码: -
作者:
Ma, ZW
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收藏
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浏览/下载:156/0
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提交时间:2020/10/16
FLUID-DYNAMICS CFD
LIQUID CROSS-FLOW
COLUMN
VOLUME
SIMULATIONS
DETACHMENT
PREDICTION
FORCES
3-D NUMERICAL SIMULATION OF THE VAPOR-LIQUID FLOW AT THE SHELL SIDE OF SHELL-AND-TUBE HEAT EXCHANGERS
会议论文
OAI收割
24th International Conference on Nuclear Engineering, Charlotte, NC, JUN 26-30, 2016
作者:
Xiao, Q
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浏览/下载:48/0
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提交时间:2017/07/12
BUBBLE-COLUMN
STEAM-GENERATOR
TURBULENCE MODELS
CFD PREDICTION
SECONDARY-SIDE
INTERNALS
BUNDLES
FORCES
A strong coupled CFD-CSD method on computational aeroelastity (EI CONFERENCE)
会议论文
OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Xi R.
;
Jia H.
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浏览/下载:72/0
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提交时间:2013/03/25
In this paper
a strong coupled CFD-CSD method is developed to simulate the aeroelastic phenomena. The CFD solver is based on the finite-volume algorithm for the Navier-Stokes equations on unstructured grid. The CSD solver solves the aeroelastic governing equations in the modal space. Their coupling is realized by a dual-time method. The spring-based smoothing method is adopted to deform and regenerate the aerodynamic grid. Two test cases are selected to validate the authors' method for static and dynamic aeroelastity .The results of the simulation for the static aeroelastic problems of a missile wing show that the Lift Coefficient and Drag Coefficient are severally 7% and 5% lower than those don't consider the elasticity of the wing. The results for the flutter boundary prediction of the AGARD 445.6 wing have been proved much closer to the experiment than using the DLM. This method can describe the effects of fluid viscosity more exactly for highly nonlinear transonic flight conditions. The calculation has proved reliable in the subsonic regime
but not accurate enough in the supersonic regime. 2011 IEEE.