Research On Pressure Surface Cleaning Control Of Aircraft Engine Fan Blade

At present,manual cleaning is mainly used to clean the pressure surface of the fan blade of aircraft engine.There are some problems such as low cleaning efficiency,harmful working environment to human health,and different quality standards for manual testing and cleaning.Therefore,an automatic cleaning method for the pressure surface of the fan blade of aircraft engine is studied,and the cleaning process is optimized and controlled to realize the cleaning of the fan blade of aircraft engine.Pressure surface cleaning automation.Firstly,the composition and adhesion mechanism of pollutants on the pressure surface of aircraft engine fan blades are studied,and the cleaning methods and process flow of the pressure surface of aircraft engine fan blades are selected.On this basis,the automatic cleaning mechanism,conveyor and fixture for the pressure surface of aircraft engine fan blades are designed.Secondly,the cleaning process parameters affecting the cleaning effect are analyzed experimentally,and the cleanliness prediction model based on generalized regression neural network is established.Then the genetic algorithm is used to optimize the input process parameters of the model,and the combination of process parameters with minimum energy consumption is obtained,so as to achieve the goal of efficient and energy-saving cleaning.Thirdly,the combination of industrial control motherboard and Bus is used to control the cleaning mechanism and process.Especially for the inertia of the cleaning fluid temperature,a variable period fuzzy PID control strategy is designed.The simulation results show that the vpfPID control is more suitable for the temperature control system of the ultrasonic cleaning fluid.Finally,aiming at the problem of large error in cleanliness detection caused by human visual inspection,this paper uses visual sensor to extract the cleanliness image after cleaning,and detects cleanliness by extracting the hue and saturation of the image.The experimental results show that this method can effectively reduce the error caused by human factors and improve the detection efficiency.The experimental results show that ultrasonic cleaning can reduce energy consumption and improve cleaning efficiency while ensuring cleanliness,and realize the automation of pressure surface cleaning of aircraft engine fan blades.