Results 91 to 100 of about 10,536 (218)

Efficient prediction of aerodynamic forces in rarefied flow using convolutional neural network based multi-process method

Machine Learning: Science and Technology
The direct simulation Monte Carlo (DSMC) is a widely used approach for studying aerodynamics effects of rarefied flows, but it is highly time-consuming and may exhibit statistical fluctuations.
Haifeng Huang, Guobiao Cai, Chuanfeng Wei, Baiyi Zhang, Xiang Cui, Yongjia Zhao, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He   +9 more
doaj   +1 more source

Evaporation Boundary Conditions for the Linear R13 Equations Based on the Onsager Theory

Entropy, 2018
Due to the failure of the continuum hypothesis for higher Knudsen numbers, rarefied gases and microflows of gases are particularly difficult to model.
Alexander Felix Beckmann, Anirudh Singh Rana, Manuel Torrilhon, Henning Struchtrup   +3 more
doaj   +1 more source

NRxx Simulation of Microflows with Shakhov Model

, 2011
In this paper, we propose a method to simulate the microflows with Shakhov model using the NRxx method developed in [4, 5, 6]. The equation under consideration is the Boltzmann equation with force terms and the Shakhov model is adopted to achieve the ...
Cai, Zhenning, Li, Ruo, Qiao, Zhonghua
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A collective collision operator for DSMC [PDF]

AIP Conference Proceedings, 2001
A new scheme to simulate elastic collisions in particle simulation codes is presented. The new scheme aims at simulating the collisions in the highly collisional regime, in which particle simulation techniques typically become computationally expensive. The new scheme is based on the concept of a grid-based collision field.
openaire   +1 more source

Dynamic Sliding Mode Control Based on Multi-Model Switching Laws for the Depth Control of an Autonomous Underwater Vehicle

International Journal of Advanced Robotic Systems, 2015
This manuscript presents an improved control algorithm, called Dynamic Sliding Mode Control based on Multiple Models Switching Laws (DSMC-MMSL), for the control of the depth of the studied Autonomous Underwater Vehicle (AUV) system, the diving plane ...
Huanyin Zhou, Kaizhou Liu, Yiping Li, Shenzhen Ren   +3 more
doaj   +1 more source

Particle-based hybrid and multiscale methods for nonequilibrium gas flows

Advances in Aerodynamics, 2019
Over the past half century, a variety of computational fluid dynamics (CFD) methods and the direct simulation Monte Carlo (DSMC) method have been widely and successfully applied to the simulation of gas flows for the continuum and rarefied regime ...
Jun Zhang, Benzi John, Marcel Pfeiffer, Fei Fei, Dongsheng Wen   +4 more
doaj   +1 more source

Application of Knudsen thermal force for detection of inert gases

Results in Physics, 2018
Recently, detection and analysis of gas mixtures have become significant for purifications and separation of the natural gas mixture. In the present work, Direct Simulation Monte Carlo (DSMC) method is applied to evaluate the performance of a new micro ...
A. Hassanvand, M. Barzegar Gerdroodbary, Rasoul Moradi, Younes Amini   +3 more
doaj   +1 more source

Cylindrical couette flow in the transition regime by the method of moments [PDF]

, 2014
This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the ...
4th Micro and Nano Flows Conference (MNF2014), Emerson, D, Gu, XJ   +2 more
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Research on double sliding mode adaptive nonlinear control systems based on the U-model

Automatika
In this paper, the problem of high precision control for nonlinear continuous systems with external uncertainties is studied, and the state space expression of continuous time MIMO U-model is presented.
Fengxia Xu, Nan Wang, Zhongda Lu, Xinyu Zhang, Zhenyang Xu   +4 more
doaj   +1 more source

Clustering Instabilities, Arching, and Anomalous Interaction Probabilities as Examples for Cooperative Phenomena in Dry Granular Media

, 1998
In a freely cooling granular material fluctuations in density and temperature cause position dependent energy loss. Due to strong local dissipation, pressure and energy drop rapidly and material moves from `hot' to `cold' regions, leading to even ...
Luding, Stefan
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