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Simulation Research of Angle Action on Fold-type Board in Air-Heating Collector Lin Qiu1, a, Runping Niu1, b, Min Yan1, c,Jin Yang1, d 1Beijing University of Civil Engineering and Architecture, Beijing, China aqiulin@bucea.edu.cn, bniurunping@bucea.edu.cn, c yanmin @bucea.edu.cn, dyangjin@bucea.edu.cn Keywords: numerical simulation, collector; fold-type board, angle Abstract.
Numerical simulation of the thermal properties of fold-type collector on different angle with Fluent software.
Numeric simulation calculations shown: the fold-type board collector angle action has a greater influence for the thermal properties of collector in air-heating ,the thermal efficiency when is 30°is better than is 45°and is 60°and under this work simulation condition the optimum angle for folded-type panel air collector will be recommend nearby at =30°.
From the simulation results, the different angle plate temperature distribution and velocity distribution of folded-type air collector under the same conditions shown in Fig.3 and Fig.4.
A CFD heat transfer analysis of the transpired solar collector under no-wind conditions.

Using a T-Junction, Brown [17] ran several simulations to study swirling and uniform inlet flow conditions.
References [1] Kannojiya V, Kumar S, Kanwar M, Mohapatra S K. (2016) Simulation of erosion wear in slurry pipe line using CFD.
[2] Banakermani M R, Naderan H, Saffar-Avval M. (2018) An investigation of erosion prediction for 15 to 90 elbows by numerical simulation of gas-solid flow.
[5] Athulya A S, Cherian R M. (2016) CFD modelling of multiphase flow through T junction.
[13] Duarte C A, de Souza F J. (2017) Innovative pipe wall design to mitigate elbow erosion: A CFD analysis.

Application of a discrete transfer matrix method in analysis of acoustic attenuation performance of complex perforated pipe mufflers Huo RUI1,2,a, Meng BEI1,2,b and Zhang LEI1,2,c 1School of Mechanical Engineering, Shandong University,Jinan city,China, 250061 2Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Shandong University, Ministry of Education ahuorui@sdu.edu.cn, bSD_xiaobei@163.com, czhanglei53258104@163.com Keywords: perforated pipe muffler, transfer matrix, numerical simulation Abstract.
In Fig. 2, sound pressure transmission loss of a straight-through perforated pipe muffler is calculated by Eq.6 and CFD method respectively.
Fig. 3 Influence of Perforation rate Fig. 2 Comparison of discrete method and CFD Fig. 4 Influence of diameter of expansion chamber Fig. 5 Influence of diameter of perforated pipe Example 2: Composite perforated pipe muffler.
The formulae are verified by comparing one concrete calculation result with that of CFD.

The simulation results show that the new model provides improved predictions of the experimental data.
The resulting second particle source term to the turbulent kinetic energy equation has the form below: (4) Test Cases The experiment of Tsuji et al [6] is employed for the validation of the simulation results.
The simulation was carried out using the commercial CFD code CFX-TASCflow, where a modifiable source code subroutine was used to implement the particle source terms to the and equations.
The simulation results were taken from the outlet region.
For the mean velocity profile as shown in Fig.2, the selected models yield identical simulation results which are the same as the clean flow, while the new model predicts the data reasonably well.

So the SST turbulence model is chosen for all simulations in our study.
Addad in: Numerical Simulations of Flow and heat transfer over Rib-Roughened Surfaces, 17th Annual Conference of CFD Society of Canada, Ottawa, May 3-5(2009)
Behnia in: Reynolds Averaged Simulation of Flow and Heat Transfer in Ribbed Ducts, Int.
Dhanasekaran, and T.Wang in: Validation of Mist/ Steam Cooling CFD Model in a Horizontal Tube, ASME paper HT2008-56280, Summer Heat Transfer Conference, Jacksonville, Florida, August 10-14( 2008)
Wang in: Simulation of Film Cooling Enhancement with Mist Injection,” ASME paper GT2005-69100(2005).

In fact, the three most important mechanics contributions in the past three decades are fracture mechanics, finite element method and computational fluid mechanics (CFD).
CFD took a quantum leap since the introduction of high-speed computers and fast parallel processors.
More importantly, the finite element method has become a common tool used for the modeling and simulation of solid, fluids, combustion, electric magnetic, and even other physical phenomenon as long they can be described within the context of a set of differential equations.
CFD methodology and algorithm has not only become the corner stone to the design and understanding of aerodynamic systems but also been extended for seeking solutions in the electric-magnetic regime.
CFD was developed under similar circumstances.

To make the high efficiency and energy-saving centrifugal pump, using multi-objective optimization design to make hydraulic design of the 500SM35 centrifugal pumps, using CFD technology to simulate the three-dimensional turbulence flow in pump, also make performance experiment and cavitation experiment of the 500SM35 centrifugal pump that have been selfdeveloped.
Make some attempt in the design process of the centrifugal pump impeller, suction chamber and spiral casing: Establishing the multi-objective function model of efficiency, cavitation characteristics and reliability; Determining the appropriate proportion of efficiency, cavitation characteristics and reliability, then make the optimal solution for multi-objective function; Using three-dimensional drawing software to make three-dimensional model of impeller, spiral casing, suction chamber; Using CFD technology to simulate the three-dimensional turbulence flow in pump; Basing the result of numerical simulation and performance experiment of sample pump, to modify the design of pump slightly, make the design more optimal.
Table3 Main parameters of the 500SM35 type centrifugal pump's discharge chamber ⅧQ [m 3/s] v [m/s] ⅧA [m 2] 0.1403 6.36 0.0055 Simulation the three-dimensional turbulence flow in pump Calculation model Basing on unsteady flow to approximated simulate the swirl flow using multiple reference frame model (MRF), solving the area of impeller, suction chamber and spiral casing at the same time, pilling in the standard k-ε turbulence model, make three-dimensional incompressible viscous flow Reynolds-averaged equations and standard k-ε turbulence model closure, and then discrete solution.

Numerical Simulation of Heat Transfer in a Closed Two-Phase Thermosiphon Vladimir Arkhipov1,a, Alexander Nee2,b, Lily Valieva2,c* 1Research Institute of applied mathematics and mechanics, 36 Lenin av., Tomsk, Russian Federation 2National Research Tomsk Polytechnic University, 30 Lenin av., Tomsk, Russian Federation aarkhipov@niipmm.tsu.ru, bnee_alexander@mail.ru, clil.valiewa@yandex.ru Keywords: thermosyphon, conduction, evaporation, condensation, mathematical modelling.
[3] Ming Zhang, Zhongliang Liu, Guoyuan Ma, Shuiyuan Chen, Numerical simulation and experimental verification of a flat two-phase thermosyphon, En.
Wrobel, Hussam Jouhara, CFD modelling of a two-phase closed thermosyphon charged with R134a and R404a, App.
Eng. 111 (2014) 91-102 [8] Asghar Alizadehdakhel, Masoud Rahimi, Ammar Abdulaziz Alsairafi, CFD modeling of flow and heat transfer in a thermosyphon, Int.

The mechanism of heat transfer enhancement of pulsating flow in a spiral fluted tube was researched by CFD (computational fluid dynamics) software FLUENT.
In the present paper, a number of pulsating flow with different frequencies and amplitudes in a three-dimensional spiral fluted tube were investigated by CFD software FLUENT.
Model and Boundary Conditions Because of the asymmetric structure of spiral fluted tube, in numerical simulation, we use three-dimensional modeling of it.
Results from the numerical simulation indicate that, comparing with the steady flow, the pulsating flow increases the heat transfer efficiency of the spiral fluted tube in laminar flow by 60%.

The other items of the above calculation formula can be calculated by the results from CFD simulation.
In the table; means flow quantity; means experimental data; simulation data.
means deviation of experimental and simulation data.
We found that the simulation data was in good agreement with the experimental data.
Analysis of the flow through the blade tip clearances of axial pumps by CFD[J].