Rapid Calibration of Nanoliter per Second Flow Rate by Image Processing Technology

Area of Science:

• Fluid Dynamics
• Optical Measurement Techniques
• Precision Engineering

Background:

• High-precision microflow control is critical for applications like gravitational wave detection in microsatellites.
• Conventional flow sensors lack the required nanoliter per second (nL/s) accuracy for these demanding applications.
• Gravitational wave detection requires flow supply systems with accuracy up to 0.1 nL/s for attitude and orbit control.

Purpose of the Study:

• To develop and validate an image processing-based method for rapid microflow calibration.
• To achieve high accuracy (0.1 nL/s) in microflow rate measurements.
• To offer a time-efficient alternative to conventional calibration techniques.

Main Methods:

• Utilizing image processing technology to analyze droplet images from a microflow system.
• Capturing droplet images at the flow system outlet to determine flow rate.
• Employing the gravimetric method for verification and accuracy assessment of the proposed technique.

Main Results:

• Demonstrated the capability of image processing to achieve 0.1 nL/s accuracy in microflow calibration.
• Experiments conducted within the 1.5 nL/s range confirmed the method's precision.
• Achieved over a two-thirds reduction in calibration time compared to the gravimetric method.

Conclusions:

• Image processing provides an efficient and accurate solution for high-precision microflow calibration.
• The developed method addresses the limitations of conventional sensors in the nanoliter per second range.
• This innovative approach has broad applicability in fields requiring precise microfluidic control.