Estimation Method of Charged Particle Concentration in Aircraft Engine Exhaust Based on Electric Field Detection

Abstract

Aircraft engines, serving as the power core of aircraft, also constitute a significant source of potential malfunctions. The charge level of exhaust particles from aircraft engines serves as a crucial indicator of engine malfunction severity. This paper introduces a method for estimating the charge of exhaust particles based on electric field detection to monitor charged particles in the exhaust of aircraft engines. Initially, a mathematical model for estimating the charge of exhaust particles based on Gauss’s theorem is presented. Subsequently, an exhaust electric field induction device is designed, and the distribution of electric field sensors is studied, providing an overall design for the exhaust particle charge measurement system. Finally, the proposed method for estimating the charge of exhaust particles is analyzed through finite element simulation. The results indicate that the introduced aircraft engine exhaust particle charge estimation method based on electric field detection exhibits high accuracy and effectiveness. It offers a novel means for monitoring engine operation faults in aviation, with the potential for application in engine ground testing to further investigate engine state characterization technologies based on exhaust particle monitoring.