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Numerical Study on Combustion Performance Comparison of Premixed Methane-air in Micro-combustors with and Without Heat Recirculating Channel Tang Aikun , Pan Jianfeng* , Shao Xia , Liu Yangxian School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu province, China * Corresponding author, mike@ujs.edu.cn Keywords: Methane-air, Heat recirculating, Micro-combustion performance, Numerical simulation.
Combustion characteristics both in heat recirculating combustor and single-channel combustor are analyzed which containing the flame shape, location and temperature at the same simulation conditions.
The simulation adopts a skeletal mechanism of methane-air gas phase reaction which has 16 species and 25 reversible reactions[7].
Combustion characteristics and flame stability at the microscale: a CFD study of premixed Methane/air mixtures.
Numerical simulation study of premixed hydrogen-oxygen combustion process in micro-scale rectangular channel.

Based on the numerical simulations, the average temperature variety during the daytime and night was simulated and compared for the room with and without the device, respectively.
Numerical Simulation In order to research the average temperature of the room showed in Fig.1 with the device, the numerical model was set up.
The CFD software is used to simulate the average temperature change of the rooms according to the different conditions in the day and night.
The simulations for the average temperature Taverage of R-A and R-B during the daytime are done, as is show in Fig.6.
(4) The temperature conditions applied in the simulations and experiments are suitable for regions with large ΔTDN.

We make the landscape visibility analysis of core areas including the Central Administrative District, the Central Business District (refer with: Fig. 3), and the History Memorial District in the program, with 3D simulation and data analysis to identify factors affecting visibility spatial form, such as building volume size, spatial layout compactness, open space sparse density, and thus to improve the visibility of the core area of the landscape by optimizing these spatial elements. 2) Optimization of the program: the simulation of urban physical environment based on BIM Based on BIM model of urban space, it loads the external environment data for simulation analysis of the physical environment of the program through BIM ecological analysis platform, including lighting environment perception, thermal environment perception, and acoustic environment perception in the natural environment of urban space, and then it makes the accumulation of data and comprehensive evaluation to provide
The spatial morphology and analysis of 3D visualization of the Central Business District a. the Acoustic environment perception We select urban space of the Central Administrative District for simulation and evaluation, analogizing the actual impact to the surrounding buildings of noise pollution and collecting data through the survey.
(refer with: Fig. 5) c. the Thermal environment perception In the program, we make use of the fluid computational mechanics (CFD) software of BIM and focus on the wind environment simulation of the urban residential district and the administrative district .
Combined with meteorological data, we make simulation analysis and comprehensive evaluation of the thermal environment, and then give the most reasonable space layout recommendations for the overall layout of the planning, the spatial relationship of the buildings, to make the built environment able to provide the maximum human comfort, at the same time consume the least energy.

Results and Discussion The finite volume method is used to discrete the above equations based on the computing platform of CFD (computational fluid dynamics) commercial software FLUENT.
The veracity of the mathematical model and simulation method has been proved in previous studies[7].
The numerical simulation only calculates the solidification process of the miscibility gap that calculates from the initial temperature of single phase area to the temperature of the monotectic reaction (930K), and select the representative simulation results to analysis.
Diefenbac: Materials Science and Engineering R,Vol.15(1995)No.7-8,p.263 [11] Z.Z.Han,J.Wang: FLUENT - Fluid Simulation Calculating Examples and Engineering Application(Beijing institute of technology press, China 2004 ) [12] R.J.
Ratke: Modelling and Simulation in Materials Science and Engineering, Vol.6 (1998) No.2,p.123

Mathematics and Simulation Problem Description.
The experimental and simulation results are shown in Figure 5.
The heating power was increased to 140 W and another test and simulation were conducted.
The volume change in the simulation is divided into three curves.
[11] Sattari, H., et al., CFD simulation of melting process of phase change materials (Pails) in a spherical capsule.

The simulation is carried with wall temperature, 359K, pressure at 0.597bar, wall superheated temperature,10K.
Khinast[4] using a two-dimensional CFD-reaction model to study two bubble types which are circular bubble with closed wake and elliptical bubble with an unsteady, respectively.
To accelerate the simulation, the initial temperature inside the tube is set to 373.11°K, pressure is 101325 Pa.
This simulation boiling behavior is consistent with the result of [7,8].
Groll, ”Dynamics and shape of bubbles on heating surfaces: A simulation study,” International Journal of Heat and Mass Transfer 49 (2006) 1115–1128

(10) The analytical estimate was compared with numerical simulation in Ansys Fluent.
Table 1: Comparison of the analytical estimate with numerical simulation in Fluent F [N] Δd Fluent -0.4 -0.2 0 0.2 0.4 0 2000 1777 1599 1452 1331 ΔL 0.2 2007 1780 1599 1451 1328 0.4 2032 1788 1598 1446 1321 Theory -0.4 -0.2 0 0.2 0.4 0 2000 1778 1600 1455 1333 ΔL 0.2 2009 1781 1600 1453 1331 0.4 2039 1791 1600 1448 1323 Application to rectangular pocket.
(17) The analytical estimate was compared with numerical simulation in Ansys Fluent.
Table 2: Comparison of the analytical estimate with numerical simulation in Fluent.
Analytical estimate CFD simulation H0[m] ΔR κ0 Fland [N] M [N m] Q [ kg s-1] Fland [N] M [N m] Q kg s-1 5,00E-05 0.5 7.06E-04 13742 -39.7 9.29E-02 13743 -46.0 9.40E-02 1.00E-04 0.5 1.13E-02 13495 -90.9 7.23E-01 13384 -118.0 7.20E-01 1.50E-04 0.5 5.71E-02 12515 -312.3 2.15E+00 12343 -309 2.11E+00 5.00E-05 0.25 7.05E-04 13709 -17.5 7.31E-02 13698 -19.3 7.40E-02 1.00E-04 0.25 1.13E-02 13539 -40.0 5.76E-01 13450 -53.0 5.80E-01 1.50E-04 0.25 5.72E-02 12827 -137.8 1.81E+00 12579 -157.0 1.81E+00 5.00E-05 0.125 7.04E-04 13701 -8.4 6.81E-02 13689 -9.3 6.90E-02 1.00E-04 0.125 1.13E-02 13551 -19.3 5.39E-01 13470 -26.0 5.44E-01 1.50E-04 0.125 5.72E-02 12906 -66.6 1.73E+00 12654 -78.0 1.73E+00 The influence of the HS pocket tilt on the hydraulic resistance of a general HS pocket with a rectangular shape is illustrated in Fig. 1 on the left.

Three groups of cone-derived waverider configuration, respectively, based on the geometric relations method and the streamline tracing method are generated for the comparisons of the shape factors, inviscid aerodynamic characteristics, and flow field structures by investigating the numerical simulation results.
Three groups of cone-derived waverider configuration, respectively, based on the geometric relations method and the streamline tracing method are generated for the comparisons of the shape factors, inviscid flow field structures, and inviscid aerodynamic characteristics by investigating the numerical simulation results.
At last, the comparisons of shape factors, inviscid flow field characteristics, and inviscid aerodynamic characteristics have been investigated by numerical simulation.
Rodriguez: Multidisciplinary Optimization of a Supersonic Inlet Using a Cartesian CFD Method, AIAA paper 2004-4492, 2004.

In this paper, CFu serves as the referential series and CFd serves as the comparison series.
Fig.1 The FEM of the framework of the launch platform 3.1 Numerical simulation of damage identification for straight pipe The upper horizontal pipe, the 8th element in Figure 1, is selected as the straight pipe to be identified.
The model is divided into 15 segments of equal span length. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Fig. 2 Finite element model of the unbent pipe To investigate the capability of the GMFCD indicator, it is compared to the indicator of flexibility difference MFD (Modal Flexibility Difference) and that of flexibility difference curvature MFDC (Modal Flexibility-Difference and Curvature)[5] through numerical simulation analysis. 1.
Fig.4 Damage identification of multiple damaged element by GMFCD 3.2 Numerical simulation of damage identification for bend pipe Selected the front bend pipe of the framework of the launch platform as the interested object and construct its finite element model, in which 42 elements are used, as shown in Figure 5.
Results of numerical simulation and experimental verification demonstrate the effectiveness of using this indicator in locating damage.

Zeng et al. [7] developed a CFD model for the numerical simulation of Mg twin-roll strip casting process.
The aim of numerical simulation is to find the range or the optimal value of each parameter.
Simulation model.
Conclusions (1) The optimal process parameters were obtained through numerical simulation.
(3) The fact experiment was carried out successfully using process parameters obtained by simulation indicates numerical simulation is helpful for optimizing the process parameters of twin-roll strip casting of magnesium alloys.