Year: 2024
Type: conference-paper
Abstract: In micro-dosing system gas bubbles are a common source of dosing errors, by adding sensors to detect these the complexity and costs of the system increases.This paper introduces a novel approach for piezoelectric micropumps to detect gas bubbles without the usage of additional sensors like pressure or medium sensors.The proposed approach uses artificial intelligence (AI) methods directly implemented onto the micropump's high voltage driver circuit.The AI-methods are trained on a dedicated testbench, demonstrating successful gas bubble detection without increasing system costs and complexity and without the usage of additional sensors.This technology enhances dosing accuracy to ensure safer and more reliable micro-dosing applications.
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4396851680