Research on tomography system for ultrasonic process of particle two-phase flow based on adaptive filtering

The interface distribution of two-phase flow medium, i.e. flow pattern, greatly affects the operation characteristics of two-phase flow system. For example, the flow pattern of slurry mixed liquor in petroleum and metallurgical industries transported by pipelines affects the cost accounting and quality control of the transportation process. In this paper, a tomography system applied to ultrasonic process of particle two-phase flow is studied, and automatic fan-beam scanning is realized. Firstly, the generalized minimum residual iterative algorithm is used to obtain the initial object concentration distribution information, and then the average filtering and gray threshold are used to correct it to improve the image accuracy. In this system, in order to achieve better filtering and denoising effect, an adaptive filtering algorithm based on wavelet transform is proposed, and the algorithm is simulated and analyzed by Matlab software, which shows that this filtering algorithm can indeed achieve better filtering effect.