Research And Implementation Of Adhesive Defect Detection System For Elastic Materials Based On Speckle Interference

Bonded components have the characteristics of high specific strength,high specific modulus,excellent fatigue resistance and shock absorption performance,and have been widely used in aerospace and military fields.In the process of manufacturing and transportation,the bonding structure is affected by factors such as process parameters,personnel operations,and environmental conditions,resulting in bonding defects such as looseness,pores,and debonding at the bonding interface.These problems seriously affect the integrity of the bonding components structural integrity and work performance.Especially in the production of defense industry,the integrity of bonding components is related to the combat performance of products,and may lead to major safety accidents.Therefore,in order to ensure its structural integrity,it is of great significance to carry out research on interface bonding defect detection methods and automatic detection systems.Defects on the bonding interface in the bonding structure are prone to elastic deformation under load.In view of this feature,Thesis intends to carry out research on elastic material bonding structure detection and bonding defect identification based on shear speckle interference technology,and in order to meet the needs of industrial production efficiency and intelligence,based on the above Automatic detection and identification system of speckle interferometry.The main research contents of Thesis are as follows:1、The simulation model of the negative pressure field-strain field-light field of the elastic material bonding interface under vacuum excitation is established,and the imaging analysis of bonding defects under different parameters is completed,which provides a theoretical basis for the design of the automatic detection system of elastic material bonding structure and the research on defect identification.Aiming at the problem that it is difficult to quantify the relationship between the vacuum excitation parameters and the micro-deformation of the elastic material interface,the vacuum negative pressure field model of steel/rubber is established in Thesis,and the strain field and phase diagram models are established.By analyzing the phase diagrams of bonding defects under the influence of different vacuum excitation,different defect sizes and other parameters,the optimal detection parameters in the laser shear speckle interference automatic detection system are determined according to the comparison results.2、The software and hardware platform of the laser speckle shearing interference automatic detection system is designed to complete the reliable support,operation and automatic control and detection of the flexible specimen,and provide a reliable data source for the identification of bonding defects.In view of the shape structure and easy deformation characteristics of flexible specimens,Thesis focuses on the design of laser speckle shear interference imaging optical path and biaxial axial rotating support structure to meet the requirements of speckle shear interference imaging and reduce the easy deformation interference of flexible specimens.On this basis,the automatic control and detection logic of the system is designed to realize an automatic detection system integrating electrical control,image acquisition,information interaction,defect identification and management,and reporting.3、The feature extraction and identification methods of interface bonding defects under multi-source interference are studied.Under actual working conditions,factors such as vacuum airflow,mechanical vibration,and flexible specimen support deformation will interfere with the speckle interference image of the bonded structure.In order to accurately identify defects,Thesis firstly analyzes the features of the speckle clipping image,and designs adaptive median filtering and image enhancement methods based on morphology according to the characteristics of defects and interference,so as to achieve defect feature extraction;and on this basis,using the inconsistency characteristics of interference in speckle sequence images,a defect identification method based on probability statistics is designed,so as to achieve the purpose of accurately identifying interface bonding defects.