Self-Sensing Micropump for Gas Bubble Detection

This technical report presents a novel approach to enhance the reliability of micro-dosing systems by introducing a self-sensing micropump capable of detecting gas bubbles without the need for additional sensors. The study outlines the integration of artificial intelligence (AI) methods directly onto the micropump's high voltage driver circuit, allowing for effective gas bubble detection while minimizing system complexity and costs. The report details the construction and operation of piezoelectric diaphragm micropumps, emphasizing the importance of accurate dosing in medical and chemical applications. It also describes the self-sensing mechanism that utilizes both the indirect and direct piezoelectric effects to monitor system states. The report further explains the design of a specialized testbench for generating training data, which is essential for optimizing the AI methods used in bubble detection. The findings demonstrate that the self-sensing technology can significantly improve dosing accuracy, thereby enhancing the safety and reliability of micro-dosing applications.