The spatial filtering method of particle velocity measurement based on linear electrostatic sensor matrix.

Area of Science:

• Engineering
• Physics
• Fluid Dynamics

Background:

• Electrostatic sensors are vital for gas-solid flow parameter measurement.
• Accurate local particle velocity measurement is crucial for process control.

Purpose of the Study:

• To design and validate a linear electrostatic sensor matrix (LESM) for measuring local particle average velocity in pipelines.
• To develop a quantitative relationship between sensor output and particle velocity.

Main Methods:

• A 3D simulation model of the LESM was developed and analyzed using the finite element method.
• The spatial filtering effect of the LESM was investigated.
• A LESM-based particle velocimeter was constructed and tested on a gravity transport rig.

Main Results:

• A quantitative expression linking LESM peak frequency to particle velocity was derived.
• The LESM demonstrated the ability to eliminate particle size and spatial position influences.
• Velocity measurements achieved a relative error below 7.5% and a standard deviation within ±9.96%.

Conclusions:

• The developed LESM provides a robust and accurate method for measuring particle velocity in gas-solid flows.
• The sensor's performance was validated through simulations and experiments, confirming its practical applicability.