A finite control volume method for the reduction of an iron ore–coal composite pellet in an axisymmetric temperature field

2003 ◽  
pp. 299-306
Author(s):  
Jingyu Shi ◽  
D. L. S. McElwain ◽  
E. Donskoi
Keyword(s):  
Temperature Field ◽  
Iron Ore ◽  
Control Volume ◽  
Control Volume Method ◽  
Composite Pellet ◽  
Finite Control ◽  
Volume Method ◽  
Axisymmetric Temperature

Numerical Simulation of Fluid Flow and Heat Transfer in the Micro-Nozzle

2005 ◽  
Author(s):  
Longjian Li ◽  
Yihua Zhang ◽  
Wenzhi Cui ◽  
Tien-Chien Jen ◽  
Qinghua Chen ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Control Volume ◽  
Slip Model ◽  
Control Volume Method ◽  
Propulsion Performance ◽  
Micro Nozzle ◽  
Flow And Heat Transfer ◽  
Finite Control ◽  
Mems Technology ◽  
Volume Method

Micro-nozzle, based on the MEMS technology, has played an important role in orbit positioning, attitude adjusting and other applications of micro-satellites. The continuous no-slip model of two-dimensional compressible laminar flow in the micro-nozzle was proposed and solved numerically by finite control volume method. The flow and heat transfer in the micro-nozzle were computed under different conditions, including different inlet pressures, different inlet temperatures and different divergent angles. Flow field and effects of these conditions on the propulsion performance were analyzed. Finally, simulated solutions were compared and validated with the experimental results.

Estimation of unsaturated flow in layered soils with the finite control volume method

2001 ◽  
Vol 50 (4) ◽  
pp. 349-358 ◽  
Author(s):  
George Arampatzis ◽  
Christos Tzimopoulos ◽  
Maria Sakellariou-Makrantonaki ◽  
Stavros Yannopoulos
Keyword(s):  
Unsaturated Flow ◽  
Control Volume ◽  
Control Volume Method ◽  
Layered Soils ◽  
Finite Control ◽  
Volume Method

Flexible dynamic model of PHEX for transient simulations in Matlab/Simulink using finite control volume method

2020 ◽  
Vol 110 ◽  
pp. 83-94
Author(s):  
Erik Salazar-Herran ◽  
Koldobika Martin-Escudero ◽  
Luis A. del Portillo-Valdes ◽  
Ivan Flores-Abascal ◽  
Naiara Romero-Anton
Keyword(s):  
Dynamic Model ◽  
Control Volume ◽  
Control Volume Method ◽  
Matlab Simulink ◽  
Transient Simulations ◽  
Finite Control ◽  
Volume Method

Investigation into the effect of nucleation parameters on grain formation during solidification using a cellular automaton-finite control volume method

2008 ◽  
Vol 23 (9) ◽  
pp. 2312-2325 ◽  
Author(s):  
X. Yao ◽  
M.S. Dargusch ◽  
A.K. Dahle ◽  
C.J. Davidson ◽  
D.H. StJohn
Keyword(s):  
Grain Size ◽  
Cellular Automaton ◽  
Control Volume ◽  
Control Volume Method ◽  
Nucleation Parameters ◽  
Finite Control ◽  
Ca Model ◽  
Microstructure Morphology ◽  
Volume Method

A cellular automation (CA) model has successfully been used to model the development of microstructure of an aluminum alloy during solidification to produce detailed structure maps for the solidified alloys. More recently, the application of CA models to practical castings/solidification conditions has attracted increasing research interest. However, the determination of the calculation parameters of any model associated with nucleation is difficult. Accordingly, this work investigates the detailed effect of the six parameters of nucleation on microstructure formation and morphology as well as the grain size by cellular automaton-finite control volume method (CAFVM). The nucleation parameters can be determined or estimated by comparing the calculated and experimental results, which enables a more practical prediction of the microstructure (morphology and grain size).

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