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., LTD, Shanghai 200040, China alanchen@usst.edu.cn Keywords: Rotary press; Feeding wheel; Powder flow; Simulation Abstract.
Computational Fluid Dynamics (CFD) Simulation.
In the simulation, except for the former wheel speeds, two more speeds, 50 rpm and 55 rpm, were considered as well.
Due to the lack of suitable apparatus to measure the powder flowability in a narrow moving space, numerical simulation is an effective means to study the process.
It is logical to expect that the numerical simulation would be helpful for designing the feed shoe and selecting the operating conditions.

Sometimes, such a software allows simulation and highlighting the behavior of the product during its use.
We can start the simulation and calculation of stress.
As a result, we get a lot of simulation outcomes and indications.
Today, many leading corporations of the world consider that they must have simulation and design software from ANSYS.
It first realized innovations such as performing analysis on a personal computer (PC), integrated problem solving fluid dynamics (CFD) and a multi-purpose package for solving complex problems in physics and mechanics.

Optimization of Channel Dimensions in the Flow-field for PEMFC Leping Wang1,a, Lianhong Zhang1,b and Junpeng Jiang1,c 1School of Mechanical Engineering, Tianjin University, Tianjin, 300072, China a wlphappy@163.com, b zhanglh@tju.edu.cn, c ejjp_83613@163.com Keywords: PEM fuel cell, Bipolar Plate, Flow-field, Consumption Rate, Design of Experiment, CFD.
Based on the half-cell model for the anode side numerical simulation is carried out with computational fluid dynamics software Fluent.
Fig.2 Half-cell cross-section of the PEM fuel cell Orthogonal Experimental Design of Simulation.
Table 3 shows the orthogonal analysis of computational simulation results of 30*FC.
Secondly, the orthogonal experiments are designed to guide the numerical simulations.

The numerical simulation is carried out to investigate the inherent laws for different blockage ratios of ETT system.
The simulation results show that: when the speed of the train and the pressure of the system are constants, in the temperature field, the aerodynamic heating is getting more as the blockage ratio increases, and its trend grows exponential.
Vol.24 (2005), p.133-137 [3] ZHOU Xiao, Zhang Yaoping, Yao Yingfeng: Air resistance simulation of high-speed trains in the vacuum pipeline transportation.
[10] Han Zhanzhong, Wang Jing, Lan Xiaoping: FLUENT fluid engineering simulation examples and applications. edtied by Beijing Institute of Technology Press, Beijing(2004)
[11] Wang Fujun: Computational Fluid Dynamics：Principles and Applications of CFD software. edtied by Tsinghua University Press, Beijing(2004).

The conservation equations of mass, momentum and energy time-averaged or spatially-averaged are solved with the Finite Volume Method (FVM), more precisely with the CFD package FLUENT [16–18].
However, for RANS simulations, represents time-averaged mean variables.
On the other hand, the RANS simulations predict a jet with higher spreading in radial direction than the simulation performed with LES.
Wilcox, Turbulence modeling for CFD, 2nd Ed., DCW Industries, La Canada, USA, 2002
Comte, Large-eddy simulations of turbulence, New York, USA, 2005

A Design-Variable-Based Computational Study on the Unsteady Internal-Flow Characteristics of the Urea-SCR Injector for Commercial Vehicles Chang-Su Kim1,a and Sung-Young Park2,b* 1Unit B-217, 282 Haguiro, Dongan-gu, Anyang-si, Gyeonggi-do, 14056, Republic of Korea 2Division of Mechanical & Automotive Engineering, Kongju National University, 1223-24 Cheonandaero, Budae-dong, Seobuk-gu, Cheonan-si, Chungnam-do, 31080, Republic of Korea akcs0817@gmb.co.kr, bsungyoung@kongju.ac.kr Keywords: CFD, Flow coefficient, Nozzle angle, Nozzle-hole area, Responsiveness, Urea-SCR injector Abstract.
To find out the mean flow coefficient and the responsiveness according to the design variable, a 3D model was generated for the simulation based on the reverse engineering.
The urea solution is a chemical substance that is made from the mixing of water and urea, where the chemical characteristics differ according to the urea-mixing ratio; however, due to the physical characteristics that are similar to those of water, the analysis was conducted using the water property of this simulation [8, 11].
The mean flow coefficient is the ratio of the theoretical flow to the mass flow in the simulation, and as it is close to 1, it is close to the theoretical flow.
Neumaier et al., Optimisation of Catalytic Converter Gas Flow Distribution by CFD Prediction, SAE Technical Paper 930780 (1993)

The numerical calculation of the hypersonic vehicle heat-flux has been an emphasis of the numerical simulation of hypersonic flow.
Numerical schemes have a greater impact on the results in hypersonic numerical simulation.
As high-resolution schemes, the WENO(weighted essentially nooscillatory) scheme proposed by Liu [5] was developed to hypersonic flow numerical simulation, and has been applied widely[6-8].
Pre-Flight CFD Analysis of Arc Jet and Flight Environments for the SHARP-B2 Flight Experiment. (2001), AIAA 2001-0982
Simulation of hypersonic wave/boundary layer interaction using high order WENO scheme. (2010),AIAA 2010-1047

Energy Procedia 100 (2016), PP.412-422. ] as it uses Computational Fluid Dynamics (CFD) models which can predict temperature distribution with an acceptable and reliable result [[] Mohammad Baharvand et all, Design Builder Verification and Validation for Indoor Natural Ventilation, Journal of Basic Application Science Research 3(4) (2013), PP. 182-189. ,[] Cheung, J.
P., Liu C.H., CFD Simulations of Natural Ventilation Behavior in High-Rise Buildings in Regular and Staggered Arrangements at Various Spacings, Journal of Energy and Buildings 43 (2011), PP. 1149-1158. ,[] Qingyan Chen., Ventilation Performance Prediction for Buildings, A Method Overview and Recent Applications, Journal of Building and Environment 44(4) (2009), PP. 848-858. ].
Computer Simulation.
The main engine of simulation in Design-Builder is Energy Plus; the Simulation results are compared with experimental data at different times on the hot summer days of the year (July 28th to Aug 2nd, 2019) as shown in Fig. 4.
Fig. 5.The difference value between measured and simulation data in indoor temperature of models.

The fin model was verified availably by testing the error between the simulation results and experimental ones.
Then the models were tested with experimental results, and the louvered fin’s key geometry parameters were optimized according to the simulation results.
The simulation was carried on as a fin cycle, to work out respectively the pressure and temperature fields of the air which flowing through fins.
Fig.3 flow trace chart Fig.4 pressure distribution chart Fig.5 temperature distribution chart 2.2 Comparison of Simulation Results and Experimental Ones Through the CFD simulation, the different pressures and temperature between the fin inlet and outlet under different air velocity conditions were obtained.
Compared the simulation results with the experimental results of the radiator Wind Tunnel Tests, the conclusion could be gained that the simulation and experimental results are basically consistent, as shown in Table 1.

Numerical simulation of heat and mass transfer of lump coal falling in the freeboard zone of COREX melter-gasifier* Pan Gang, Liu Xun-Liang+, Wang Gan, Wen Zhi Department School of Mechanical Engineering University of Science and Technology Beijing, Beijing 100083, China +Corresponding author.
E-mail address: liuxl@me.ustb.edu.cn pangang28@yahoo.com.cn liuxl@me.ustb.edu.cn Keywords: ump coal, heat and mass transfer, numerical simulation, COREX melter-gasifier, freeboard zone Abstract.
“CFD Simulation of the Carbon Dust Combustion in the COREX(R) Melter Gasifier.
Analysis and Simulation of the COREX Process, MS., Dongbei University of Technology, 2000.