In this study, a droplet injection system based on a piezoelectric actuator was designed and built to evaluate the system's performance in producing droplets of varying volumes. Droplet injection systems are crucial in many biological and biomedical applications. These systems contain numerous adjustable parameters, making it challenging to predict the resulting droplet volume. To analyze the influence of different input parameters and predict droplet volume, a statistical design of experiments approach was employed using response Surface methodology. Five main factors were investigated in this research, including three parameters related to the input signal (rise time, fall time, open time, and signal amplitude), back pressure, and nozzle diameter. Different levels were considered for each parameter, and their independent and interactive effects on droplet volume were analyzed. The results indicated that all factors had a p-value of less than 0.05, confirming their significant impact on the output volume. The regression model obtained, with R2 of 0.98, showed strong predictive capability for droplet volume. Furthermore, the inverse performance of the regression model was analyzed using parameter optimization, and a comparison with the experimental setup demonstrated an error of less than 5%. This model enables the optimization of design parameters and enhances the system's performance, significantly improving the accuracy and efficiency of such devices in targeted applications
Article Type:
Original Research |
Subject:
Mechatronics Received: 2024/11/19 | Accepted: 2025/01/5 | Published: 2024/09/22