| Aeroengine blades are the main components that provide power for aircraft flight.The quality and comprehensive performance of blades affect not only the overall performance of the aeroengine,but also the flight safety of the aircraft.In order to detect the fault defects of engine blades quickly and accurately in the process of manufacture,maintenance and assembly,and to ensure the whole qua lity and comprehensive function of the aeroengine,the research is carried out in this thesis to aim at several kinds of aeroengine blades fault detection.In order to solve the technical problems of aeroengine blade fault de tection and perfor mance evaluation,this thesis starts with the manufacturing,repairing and assembling links that affect the quality of aviation engine blades.Aiming at the influence of flow,frequency,geometry and other key characteristic parameters of blades on aviation engine performance and assembly quality,this thesis discusses the measurement princ iple,system structure,performance indicators and so on.On the other hand,the related detection technology is studied.The water flow detection,blade frequency measurement,on-line differential detection and thermal shock detection systems are designed a nd implemented.The expe rimental verification of these detection systems is carried out,and the comprehensive detection of blade performance and quality is realized.In addition,the detection methods and evaluation methods of key dimension parameters of blade assembly are studied,and the influence caused by the deviation of assembly parameters control and quality improvement measures are analyzed.The test results show that the designed and realized de tection systems achieve the expected goals,achieve the accurate acquisition and monitoring of the key performance parameters of aviation engine blades,discover the hidden defects in each stage of blade manufacturing and maintenance in time,effective ly guarantee the quality and comprehensive performance of aviation engine blades,and effectively improve the fault detection capability of aviation engine blades. |