Novel Microcontroller-Based Multielectrode Sensor System for Tomographic Imaging of Salinity

This article presents a novel microcontroller-based, real-time tomographic imaging for fluid mixing using a multielectrode sensor (MES) system. Existing flow visualization methods face challenges such as low resolution, slow speed, high complexity, and cost. To overcome these challenges, an optimized MES integrated with a cost-effective microcontroller-based data acquisition system is developed. The system was validated through experiments with tap and saline water with concentrations ranging from 0.5 to 5 g/L and successfully visualized the mixing process by measuring conductivity variations as 2 g/L saline water mixed with tap water in a scaled reactor pressure vessel (RPV) model using multidimensional tomography. This cost-effective, novel system provides valuable insights for improving flow mixing analysis in nuclear and industrial applications, enhancing process control and safety.