Parametric optimisation of a pulmonary ventilator using the Taguchi method

Optimisation of medical devices is crucial for the safety and efficiency of healthcare treatments. This study applies the Taguchi method for the parametric optimisation of a lung ventilator, focusing on the identification and analysis of critical variables affecting its performance. The research aims to improve the stability and efficiency of the device while minimising operational variability. The study employs an orthogonal Taguchi matrix to systematically analyse the effects of control variables such as air pressure, sensor signal and ventilation speed. The research has two phases, the first analysing the relationship between potentiometer, duty cycle and fan cycle, the second optimising the fan speed in relation to the airflow sensor readings. The results indicate that a duty cycle between 40% and 60% ensures adequate airflow, while a PA range set between 10 and 20 provides the best performance in terms of stability. Taguchi improves reliability and efficiency in real medical applications by reducing device variability. This study confirms the importance of statistical optimisation techniques in biomedical engineering, highlighting how methodical experimentation can contribute to the development of more robust and reliable medical devices.