A Miniaturized Non-invasive Real-time Flow Rate Detection System for Non-Newtonian Fluid

Controlling non-Newtonian fluids is crucial in various applications in food processing, energy production, and healthcare. Accurate and real-time flow rate quantification is essential for this control, but current methods face limitations in sensitivity, size, or invasiveness. We've introduced a compact, non-invasive method adaptable to various conditions that offers precise, real-time measurements of non-Newtonian fluid flow rates. This technique utilizes a conductive wire to convert the triboelectricity produced by the continuous flow of non-Newtonian fluid into electrical current. We find that there is a linear relationship between the detected current and the real-time flow rate, enabling ultra-high sensitivity flow rate detection. Integrated with a Radial Basis Function Neural Network, our method allows closed-loop control of non-Newtonian fluids with exceptional precision and temporal resolution.