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Optimization of operating parameters of liquid-liquid circulation fluidized bed for ice-making based on Exergy method Liang Kunfeng1, a, Gao Chunyan1,b and Wang Lin1,c 1 Vehicle & Motive Power Engineering College, Henan University of science and technology, Luoyang Henan China 471003 aliangkunf@163.com, bchunyanyn@163.com, cwanglinsichuan@163.com Keywords: dynamic ice-making; direct contact heat transfer; exergy analysis; liquid-liquid circulating fluidized bed; multiphase flow and heat transfer; numerical simulation Abstract.
Numerical simulation Governing equations.
This two-way coupling is accomplished by alternately solving the discrete and continuous phase equations until the solutions in both phases have stopped changing.Numerical modeling and simulation of the in LLCFB was conducted using a commercial CFD code, FLUENT, which is based on control volume approach.
Results and discussion Numerical experiments are performed based on numerical simulation plat developed in the sectionⅡ.

Using the method of numerical simulations to study fluid dynamic characteristic of underwater vehicle rotary motion, using the N-S equation turbulence model description of the steady rotation of the vehicle, this paper studies the numerical calculation method of aircraft rotating derivative underwater, using UDF programming to produce a stable pressure rotation the flow field, set up an numerical turning basin.
Then based on the simulation analysis the influence of the different radius of gyration and different angle of attack on the vehicle motion.
As a result, numerical simulation, which adapts to the design of underwater vehicle, becomes an inevitable choice.
Using CFD to build a numerical rotating arm basin will become a hot area of research.
Figue 5 The curve of lift’s rotational Figure 6 The curve of moment’s rotational derivative with the angular velocity changing derivative with the angular velocity changing Figure 7 The curve of lift’s rotational Figure 8 The curve of moment’s rotational derivative with the angle of attack changing derivative with the angle of attack changing Conclusion The rotary motion’s parameter of vehicle can be mainly gained by holding experiments in a rotating basin.Compared with this approach,shorter time, lower cost and higher repeatability are achieved by the approach of numerical simulation.

Governing Equations The fire dynamics simulator (FDS) is a computational fluid dynamics (CFD) software package developed by the Building and Fire Research Laboratory (BFRL) of the United States National Institute of Standards and Technology (NIST) to simulate fires.
Computer Simulation Model Developed The scene was a one-story cottage.
Fig. 2 Layout of rooms for the fire site simulation Results and Discussions Photos taken after the fire by Fire Department reports were used to conduct qualitative and quantitative simulation verification.
Therefore, the simulation result was close to the actual situation (Fig.4).
During the early stage of the simulation, the CO concentration in Room 2 at 117s was only 82 ppm.

CFD Model Clear Water Field Simulation.
VOF(Volume of Fluid Model) is adopted for the simulation of gas-liquid two-phase flow[2].
Correspondingly, the numerical simulation of the same condition was carried out simultaneously.
(a) Measurement by PIV; (b) Simulation.
In order to compare the simulation results with the field measurement, numerical simulation model was built in actual size of CSO chamber that is 1.5m×2m×7.55m in x, y, z direction respectively.

Finally, an analogue simulation is carried out in fluent to analyze the velocity of the blade, the backpressure and turbulence generated by the airflow on the blade.
Finally, through the fluent, make a simulation analysis of the velocity of the airflow on the blades, the backpressure generated by the airflow on the blade, as well as the turbulence generated.
Preprocessor of Fluent, gambit software is a flexible and easy to use and powerful meshing tool, users can divide the mesh to meet CFD’s special needs.
Mesh establishment and simulation have been carried out respectively by using the circular straight pipe as fluid flow passage.
Numerical Simulation on Internal Flow Field of a Two-stage Adjustable Movable Blade Axial Flow Fan , Journal of Power Engineering, 2013(11):871～878

In the numerical simulation of torque converter, the amount of heat exchange is smaller for the working medium is incompressible steady viscous fluid, so the control equation contains continuity equation and momentum conservation equation.
Simulation Examples and Application of Fluid Based on FLUENT[M].Beijing: Beijing Institute of Technology Press,2004(6)
Numerical Simulation Analysis of Torque Converter’s Internal Flow Field[D], Jilin University, 2009
Theoretical and Experimental Research on Design Method of Hydrodynamic Torque Converter Based on CFD[D].

Numerical simulation model of trajectory without wind.
Opening canopy fully is a complicated aerodynamic process, and many scholars has done many CFD simulation and established nonlinear theory model.
Contrast analysis of testing and numerical simulation Simulation theory for trajectory of bomb with parachute at low altitude condition.
The trajectory simulation of bomb with parachute at low altitude condition can be divided into all trajectory simulation at single bombing and spread simulation of multiple bombing.
Contrast analysis of testing results and simulation data.

Numerical Analysis of the Influence of Different-shaped Square Cylinders on Water Flow Jie Gu1,a, Xiaoli Wang1, Wei Chen1, Xin Qin1, Danqing Ma1 and Jizhong Yang1 1 College of Marine Sciences, Shanghai Ocean University, China a jgu@shou.edu.cn Keywords: numerical simulation; flow around a square cylinder; different-shaped square cylinders; streamline; turbulent kinetic energy Abstract.
Using the finite element method, Yoshida [1] and Mu et al. [2] calculated the velocity distribution, pressure distribution and cycle spiral disturbance of the flow around a square cylinder located in the center of the flow field, computational results were in good agreement with experimental data given by [3,4].The large eddy simulation and two turbulence models based on Reynolds Averaged Navies-Stokes equations (RANS), standard k-ε model and Renormalization Group k-ε model (RNG k-ε model), are employed by Chen et al. [5] to simulate the three-dimensional turbulent flows around a square obstacle.
The discrete vortex method (DVM) was used in a numerical simulation of the flow around a square column, states of two-phase flow were calculated [6].Wang et al. [7] used Large Eddy Simulation (LES) technique to conducted quasi three-dimensional(quasi 3D) and three-dimension(3D) simulation of the velocity fields surrounding a rigid rectangular prism at the Reynolds number of 2.2×104.Huang et al. [8] used finite- volume method to simulate and analysis the flow around square cylinder with 45°and 0°coming flow.
Wang:The computational fluid dynamics analysis: theory and applications of the CFD software(Tsinghua University Press, Beijing2004) [11] B.

The results show that the method is correct and provides a reference for the simulation of the unsteady multi-body separation. 1.
Numerical simulation of multi-body separation is faced with many challenging issues, mainly due to the impact of moving boundaries, so the grid needs to generate constantly.
Complex overlapping grid method and multi-body motion unsteady flow simulation[D].
Numerical simulation of unsteady flows around aircrafts experiencing forced motion and free-flight[D].
CFD Wing/Pylon/Finned Store mutual interference wind tunnel experiment[R].

In this paper, the effects of changing under-relaxation factors for different variables on the numerical solution of 2D incompressible laminar flow over a backward-facing step (BFS) are studied using PHOENICS commercial Computational Fluid Dynamics (CFD) software.
This is conducted by changing under-relaxation factors for velocities and pressure during the 2D simulation.
In this study, 2D simulations for flow over a backward step are performed by changing under-relaxation factors for velocities (uu and uw) and pressure (up).
This will be very useful in order to achieve lower error percentage for flow variables in simulation that involves velocities (in x- and z- directions) and pressure.
Effects of under relaxation factors on turbulent flow simulations.