Search Results

1 - 10 of 1,052 items :

  • "numerical simulation" x
Clear All

the near feld on top of a submarine , Journal of Marine Science and Application, Vol. 10 N0 2, 233-239, DOI: 10.1007/s11804-011-1049-2 4. Zhi-hua L, Ying X, Zhan-zhi W, Song W, Cheng x.: Numerical Simulation and Experimental Study of the new Method of Horseshoe Vortex Control , Journal of Hydrodynamics, Ser. B, Vol. 22, Issue 4, pp. 572-581, 2010. 5. Gaggero S., Villa D., Brizzolara S.: RANS and PANEL method for unsteady fow propeller analysis , Journal of Hydrodynamics, Vol. 22, Issue 5, Supplement 1, pp. 564-569, 2010. 6. Fang-wen H., Shi-tang D.: Numerical

References 1. LIU Jiawei, LIU Bing. Study of the Ramjet Cavity Shear Layer Characteristics with Numerical Simulation. Computer Simulation, 2017,34(3):82-87. 2. King J, Howell S, Derksen C, et al. Evaluation of Operation IceBridge quick‐look snow depth estimates on sea ice. Geophysical Research Letters, 2016, 42(21):9302-9310. 3. HE Rui, JI Shao-hua, HUANG Ping-ming, et al. Numerical simulation of the effect of interface transition zone between mortar and aggregates on the mechanics properties of concrete. Journal of Chang’an University(Natural Science Edition

method. MSc Thesis. Department of Civil and Environmental Engineering, Louisiana State University, 2003. 17. NiimiH, Komai Y, Yamaguchi S, Seki J. Microembolic flow disturbances in the cerebral microvasculature with an arcadal network: a numerical simulation. Clin Hemorheol Microcirc. 2006; 34: 247-55. 18. Zubair A, Riazuddin VN, Abdullah MZ, Ismail R, Shuaib IL, Hamid SA, et al. Airflow inside the nasal cavity: visualization using computational fluid dynamics. Asian Biomed. 2010; 4:657-61. 19. Lagendijk JJW. A mathematical model to calculate temperature distributions

. SELBY, Effect of roof solar refl ectance on the building heat gain in a hot climate, Energy and Buildings, 40, 2224-2235, 2008. 11. A. PASUPATHY, L. ATHANASIUS, R. VELRAJ, R.V. SEENIRAj, Experimental investigation and numerical simulation analysis on the thermal performance of a building roof incorporating phase change material (PCM) for thermal management, Applied Thermal Engineering, 28, 556-565, 2008. 12. C. ZHANG, Y. CHEN, L. WU, M. SHI, Thermal response of brick wall fi lled with phase change materials (PCM) under fl uctuating outdoor temperatures, Energy and


The paper presents the methodology and results of a numerical simulation of coupled thermal and electrical phenomena in a thermoelectric (TE) cooler module obtained with the MOOSE Framework released by Idaho National Laboratory. The coupled system of partial differential equations is solved for the value of electric potential and temperature fields. Equations include contributions from electric conduction, Seebeck effect, thermal conduction, Joule heating as well as Peltier and Thomson effects. The values of the cooling capacity and the voltage drop of the module are calculated and compared with the data provided by the manufacturer of the thermoelectric cooler in order to determine if the simplified assumptions adopted in the numerical model are appropriate to reliably infer about the performance of the TE module composed of over one hundred thermoelectric pairs.


In order to optimize the breathing apparatus in the open circuit for divers, theoretical calculus and numerical simulation of resistances specific to the potential flow of gas through the studied circuit were made. Respiratory gas flow simulation through three constructive versions of the second stage pressure reducer intake mechanism was done after modeling the respiratory air circuit through the two main restrictors: the first variable (between the seat and the piston) and the second fixed (the hole in the cylindrical piston). The results regarding the theoretical calculation and numerical simulation have been validated by experimental testing of two of the studied models. Experimental measurements were made on a tester at the Diving Center of Constanta's Hyperbaric Laboratory. The volume flow rate of supplied respiratory gas was recorded, together with the inspire depression that opens the mechanism, until the maximum flow rate for each constructive version. After validating the results of the theoretical calculation and numerical simulation on the two models, the conclusion is the same: the resistance decreases if the geometry of the cylindrical hole in the piston (the second fixed restrictor) changes in a conical hole

References: 1. VRÁBEĽ, R., ABAS, M., KOPČEK, M., KEBÍSEK, M., 2013. Active Control of Oscillation Patterns in the Presence of Multiarmed Pitchfork Structure of the Critical Manifold of Singularly Perturbed System. Mathematical Problems in Engineering , pp. 1-8. 2. VRÁBEĽ, R., LIŠKA, V., ŠÚTOVA, Z., 2015. Numerical simulation of high sensitivity of solutions to the nonlinear singularly perturbed dynamical system on the initial conditions and parameter. International Journal of Mathematical Analysis , 9 (43), pp. 2099

BIBLIOGRAPHY 1. Tang Jianzhong: Research on Optimization and Control of Dredging Operations for Cutter Suction Dredgers. Hangzhou: Zhejiang University, pp.1-3, 2007 2. Yaling Li, Shouqi Yuan, Yue Tang, Ping Huang, Xiaojun Li: Discrete Phase Model Simulation of Tracer Particle Motion in Centrifugal Pump. Chinese Journal of Agricultural Machinery, Vo.l43, no.11, pp.113-115, 2012 3. Li Dan, Ma Guiyang, Du Mingjun, Wang Haifeng: Numerical Simulation for Particles Track in a Cyclone Separator Based on the DPM. Journal of Liaoning Shihua University, Vol. 31, no.2, pp

). Numerical simulation for orientation of thin disk particles in a newtonian flow through a l-shape channel. Journal of Textile Engineer, 50(1), 31-35. [12] Wang Y., Hua Z.H., Cheng L.D., Xue W.L. (2009). Influence of processing parameters on quality of fiber compact in condensing zone of compact spinning with lattice apron. Journal of Textile Research, 31(2), 27-32. [13] Han C.C., Wei M.Y., Xue W.L., Cheng L.D. (2015). Numerical simulation and analysis of airflow in the condensing zone of compact-siro spinning. Textile Research Journal, 85(14), 1506-1519. [14] Xue W

Research of Operation Modes of Heat Storage Tank in CHP Plant Using Numerical Simulation

The installation of a heat storage tank is a very cost-effective way to improve the performance and flexibility of a CHP plant. Such a heat storage tank usually accumulates heat by thermal stratification. This phenomenon is caused by the thermal buoyancy because of the difference in temperature between cold and hot water. The heat storage tank may have three operating modes, i. e. charge, discharge and storage in a CHP plant. When CHP units, which charge the heat storage tank, operate at full load, usually only two operation modes occur in the tank, i.e. charge and discharge.

The paper presents numerical simulation of heat storage tank operation modes in a CHP plant using PHOENICS - a multi-purpose computation fluid dynamics (CFD) software. Two-dimensional and three-dimensional transient models were created and solved numerically. Three domain grids were tested. Several charging and discharging processes with different flow rates were simulated. The influence of flow rate on the degree of thermal stratification during charging and discharging processes is analyzed. The computation possibilities and limitations of the numerical experiments are pointed out. Special attention is given to the validation of the numerical solutions. The validation of simulated results is made by comparison with the real data from the heat storage installed in the Hvide Sande CHP plant.