A study on ultrasonic process tomography for dispersed small particle system visualisation Online publication date: Thu, 17-Mar-2022
by Zhiheng Meng; Jianfei Gu; Yongxin Chou
International Journal of Computer Applications in Technology (IJCAT), Vol. 67, No. 2/3, 2021
Abstract: The present challenge in the ultrasonic process tomography on dispersed small particle systems is that it is hard to obtain the accurate algorithm for reconstruction. For more accurate reconstruction, this work proposes an improved GMRES (Generalised Minimal Residual) algorithm based on generalised minimal residual iteration and mean filtering method. To verify the feasibility of the algorithm for dispersed small particle system visualisation, a linear acoustic attenuation model is developed to obtain the projection data of ultrasonic array. Then, we compared it with the current mainstream reconstruction algorithms under the conditions of the less effective information by solving the underdetermined equations. It is shown that this method can present a high reconstruction precision in the cases of numerical simulations, and reasonably reflect the cross section of dispersed small particle distribution. In the numerical simulations, the imaging accuracy of improved GMRES algorithm can reach about 90%.
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