【摘要】 主要介绍了声波法监测炉内动力场一般二维速度场的重建方法。将待重建速度场分解为螺旋分量和发散分量进行处理,对前者采用基函数展开法解线性方程组,后者满足Laplace方程及Neumann边界条件。算法整体上为一迭代过程。以该算法得出的中间速度场为基础,结合由图像处理法测得的温度场所得到的声速值分布,可较为理想地重建出炉内高温复杂空气动力场。数值实验分别对较为简单和复杂的模拟速度场模型进行重建,并作了误差分析。结果表明:所研究的方法较为稳定、可靠,进一步完善可作为炉膛动力场实时在线监测的较有效方法。图4参9更多还原

【Abstract】 An approach of reconstructing general 2-D velocity fields in furnaces is being introduced,as required for monitoring the former by acoustic methods. The velocity field to be reconstucted is decomposed into a helical and a spreading component, the former being found by a set of linear equation using the method of basic function expansion, and the latter by satisfying Laplace equation and Neumann boundary conditions. The calculation is iterative. On the basis of the intermediate velocity field obtained by the preceding calculation and the sonic velocity distribution derived from the known temperature field ,measured by image processing method, the complicated aerodynamic field at high temperatuer in the furnace can be reconstucted quite satisfactorily. Simulation, simple and complicated models of simulated velocity fields were reconstructed,and an error analysis performed. Results show that the method is relatively stable and reliable. With further improvement, it can serve as a relatively effective way for on-line monitoring aerodynamic fields of furnaces. Figs 4 and refs 9.更多还原