Research On Tool Wear Monitoring Method In Machining Process Of Curved Surface Feature Of Aviation Structural Parts

The aviation industry is viewed as the benchmark of a country’s comprehensive national strength.In the context of the rapid development of technology,manufacturing and processing high-precision aviation parts which meets the requirements of the current level of science and technology throw down the gauntlet.In the machining process of aviation structural parts,tool,as an momentous end part,directly affects the machining accuracy,efficiency and economic benefits.Therefore,it does do count for much to make the real-time on-line monitoring of the tool state in the machining process of aviation structural parts,applying to improve the efficiency and cutting quality,and to reduce the production expenditure.Although numerous researchers has studied in tool condition monitoring,leading to the accumulated achievements,yet the previous methods are basically based on open data sets,some of which are linear milling methods,which do not conform to the complex and changeable surface features of aviation structure,and contain rich surface features in actual processing.However,the change of curvature and concavity shall be due to affect the cutting parameters and milling force,giving rise to different tool wear trend compared with direct milling.Aiming at the challenge of surface feature to tool condition monitoring,theoretical research and experimental verification are executed.The specific research contents are as follows1)On account of the mechanism of tool wear,the causes of tool wear are analyzed,the force model established,deducing the relationship among tool surface characteristics and force.The simulation results state clearly that the tool surface characteristics have a certain influence on the tool force,and the tool force affects the tool wear.The relationship between value and trajectory is tentatively investigated.2)Qualitatively analyzed the influence of workpiece surface characteristics on the cutting process with experiment.Multiple groups of experiments are carried out to collect various sensor information with designed workpiece with concave and convex surface,employing the configured hardware system and acquisition system.Via the analysis of force signal,the relationship between milling force and surface features is further analyzed and demonstrated.Finally,by comparing the experimental results,the qualitative inference of the effects of surface feature on tool wear is obtained.3)According to the time series of the actual processing data,the adaptive features of sensor features are extracted by using the temporal convolution network to realize the causality of human intervention,simultaneously considering different processing conditions,self attention mechanism is used to allocate perception reasonably.The operation of fusing surface feature realize the fusion of prior mechanism knowledge and model.4)The software system with the front and rear end which are developed and deployed suits the current task and equipment environment,achieving the visualization of tool condition monitoring.