Visualization and Detection Method for Surface-Mounted Evaporative Cooling Systems

As power electronic devices move towards higher power density, miniaturization, and integration, traditional cooling methods are no longer sufficient to meet their cooling needs. The Power Equipment New Technology Laboratory of the Institute of Electrical Engineering, Chinese Academy of Sciences (CAS), has proposed a new surface-mounted evaporative cooling technology. However, existing research on the heat transfer characteristics of surface-mounted evaporative cooling systems still has significant shortcomings. To address the real-time visualization issue of the operating state of the liquid box in the surface-mounted evaporative cooling system, this paper applies Electrical Capacitance Tomography (ECT) technology to detect the capacitance signal of the liquid box during operation. In response to the differences between the liquid box structure and traditional pipelines, two sets of sensors are designed for comparison.To mitigate the ill-posedness of ECT, a pixel interpolation method is employed to improve the image reconstruction algorithm. Simulation results indicate that compared to traditional algorithms, the relative error of the pixel interpolation method mostly decreases by more than 0.1. The image correlation coefficient increases by more than 0.05, significantly enhancing image quality. Compared to traditional two-phase flow detection methods, the approach presented in this paper exhibits higher accuracy and robustness.