Study on the adaptive reconstruction method of axisymmetric temperature field based on binocular background oriented Schlieren method
Temperature field measurement plays a crucial role in industrial production and manufacturing. As a visualization technique for flow fields,the Schlieren method enables non-contact measurement of temperature fields. However,traditional background Schlieren methods require precise measurement of the center coordinates of the flow field when calculating the angle of light deflection,which greatly limits their application in certain industrial testing fields. To address this issue,this paper proposes a method for adaptive reconstruction of axisymmetric temperature fields based on binocular background Schlieren. Firstly,temperature field Schlieren imaging is obtained from two directions using a binocular background Schlieren imaging system. Then,the Perspective-n-Point (PnP) algorithm is employed with monocular visual imaging technology to calculate the position parameters of the background scatter plate relative to the binocular camera,thereby determining the center coordinates of the temperature field. Finally,the temperature field distribution is reconstructed using the Schlieren method. Experimental results show that this method enables precise reconstruction of temperature fields with unknown center coordinates,significantly expanding the application scope of the Schlieren method.
temperature fieldbackground Schlieren methodbinocular visionPnP algorithm
万方数据
维普
