Research On The Key Technology Of Repairing Damaged Aero-engine Blade By Grinding And Polishing Based On Robot

Aeroengine is one of the important components of propulsion system in aircraft,which is characterized by complexity and high precision.As an important part of an aeroengine,the blade is a powerful source of power to propel the aircraft forward.Its shape is complex,its cost is expensive,and its working environment is harsh.The traditional manual repair of damaged blades has low work efficiency and poor surface consistency,and it is difficult to meet the requirements of modern industry.Therefore,the research on the repair of damaged blades by robotic grinding and polishing has important practical significance.With the general goal of improving the efficiency of grinding and polishing repair of damaged aeroengine blades,research on adaptive grinding and polishing of blades has been carried out,including the optimization of robot abrasive belt grinding and polishing process parameters,the detection of corrosion points of damaged blades,and the planning of adaptive grinding and polishing paths.The main research contents are as follows:1)The research on process parameter optimization of robotic abrasive belt grinding and polishing was carried out,and a process parameter optimization method based on improved sparrow search algorithm to optimize BP neural network was proposed.First,four main influencing factors are selected as variables for orthogonal experiment and range analysis;secondly,the surface roughness prediction model is established by using BP neural network,and the Tent chaotic map and population diversity variation are introduced to improve the sparrow search algorithm;and then through CSSA The prediction model is optimized;finally,the optimized roughness is verified experimentally,which proves the effectiveness of the parameter optimization model.2)Carry out corrosion point detection and adaptive grinding and polishing path planning for the damaged blade corrosion point area.First,image preprocessing operations such as smoothing and corrosion are performed on the collected images of leaf corrosion points;secondly,the area of each corrosion point and the relative coordinates of the center point are extracted;finally,the row spacing of grinding and polishing points is adjusted according to the equal residual height method and the equal chord height error method and step length,using the Inte Robot offline programming software to build a simulation workstation,and carry out adaptive planning for the grinding and polishing path of the damaged area.3)Based on C# and Halcon image algorithm library,developed a host computer inspection system,including four modules of image acquisition,parameter setting,image processing,and human-computer interaction,completed the secondary development of Halcon,and realized the visual management of the restoration process.At the same time,the grinding and polishing repair experiment was carried out,and the corrosion point area of the blade was basically removed.The blade after grinding and polishing can meet the normal use in the later stage.In summary,the research contents such as optimization of grinding and polishing process parameters for damaged blades,detection of corrosion spots,and adaptive planning of grinding and polishing paths can effectively improve the efficiency of repairing grinding and polishing and the consistency level of process quality,and have good engineering applications value.