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Numerical investigation is conducted on a 3.5-stage axial compressor,on which numerous experimental projects were carried out at the Institute during the last years and an experimental database was established.In the current study five on-and off-design operating points are simulated using a RANS solver and the results are compared with the measurement.The result shows that the compressor performance can be qualitatively predicted by the mixing-plane method.Better agreement is obtained for the on-design operating point.However,as the flow unsteadiness is insufficiently considered,the numerical method produces end-wall low-speed flow layers accumulated with the flow passing through the passage,which is in no good agreement with the experimental data.In the numerical simulation the rotor rows receive less work and this difference from the measurement increases with the rotational speed.In contrast,the stator rows increase the pressure more efficiently than the measurement.In the simulation the flow in the last stator row tends more to separate on the pressure side of the blade.For the operating points close to the surge line,the predicted separation is more intense than the experimental observation.But for the operating points close to the choke,the separation is suppressed. 相似文献
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LI Yue-jun YAN Chao 《中国航空学报》2007,20(3):202-209
A new time-accurate marching scheme for unsteady flow calculations is proposed in the present work. This method is the combination of classical Successive Over-Relaxation (SOR) iteration method and Jacobian matrix diagonally dominant splitting method of LUSGS. One advantage of this algorithm is the second-order accuracy because of no factorization error. Another advantage is the low computational cost because the Jacobian matrices and fluxes are only calculated once in each physical time step. And, the SOR algorithm has better convergence property than Gauss-Seidel. To investigate its accuracy and convergency, several unsteady flow computa- tional tests are carried out by using the proposed SOR algorithm. Roe’s FDS scheme is used to discritize the inviscid flux terms. Un- steady computational results of SOR are compared with the experiment results and those of Gauss-Seidel. Results reveal that the numerical results agree well with the experimental data and the second-order accuracy can be obtained as the Gauss-Seidel for unsteady flow computations. The impact of SOR factor is investigated for unsteady computations by using different SOR factors in this algorithm to simulate each computational test. Different numbers of inner iterations are needed to converge to the same criterion for different SOR factors and optimal choice of SOR factor can improve the computational efficiency greatly. 相似文献
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介绍了开发USB接口触摸屏的一些流程及技术.并具体实现了一种基于嵌入式linux系统下USB接口触摸屏驱动的开发.该嵌入式平台基于x86结构的嵌入式工控主板,操作系统采用实时RT-linux.内核模块与用户程序的通信采用了RT-FIFO管道方式.最后给出了一种触摸屏坐标的修正方法.该触摸屏驱动是用C语言编写的,所以具有较强的移植性.在实际地应用中,该触摸屏驱动可以正常工作且具有较高的精度,提供的触摸屏坐标修正方法也能很好地解决在长时间使用后坐标出现失真的情况. 相似文献
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B. Van der Holst S. Poedts E. Chané C. Jacobs G. Dubey D. Kimpe 《Space Science Reviews》2005,121(1-4):91-104
Simulations of coronal mass ejections (CMEs) evolving in the interplanetary (IP) space from the Sun up to 1 AU are performed
in the framework of ideal magnetohydrodynamics (MHD) by the means of a finite-volume, explicit solver. The aim is to quantify
the effect of the background solar wind and of the CME initiation parameters, such as the initial magnetic polarity, on the
evolution and on the geo-effectiveness of CMEs. First, three different solar wind models are reconstructed using the same
numerical grid and the same numerical scheme. Then, different CME initiation models are considered: Magnetic foot point shearing
and magnetic flux emergence. For the fast CME evolution studies, a very simple CME model is considered: A high-density and
high-pressure magnetized plasma blob is superposed on a background steady state solar wind model with an initial velocity
and launch direction. The simulations show that the initial magnetic polarity substantially affects the IP evolution of the
CMEs influencing the propagation velocity, the shape, the trajectory (and thus, the geo-effectiveness). 相似文献
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