Research On Optimization Of Deburring Processing System And Automatic Programming System For Aerospace Casing

The structural features on the aerospace rotary casing will form sharp-edged burrs at the junction of the structural profile after machining.In the aerospace field,manual deburring is still the main method.The processing consistency is poor,the efficiency is difficult to guarantee,and the working environment Bad,the application of industrial robots to the aerospace field instead of manual deburring can not only reduce costs in the long run,but also improve efficiency and deburring quality.However,the current robot processing is mainly in the form of manual teaching,and the number of deburring features on the rotary casing is large,and the workload of offline programming processing is large and cumbersome.Therefore,analyze the structural features and deburring process of aerospace rotary casings,optimize the process parameters of the deburring processing system,study the extraction of structural features and calculation methods for deburring trajectories,and build a feature extraction and self-programming system.For industrial robots in aerospace The field of deburring is of great significance.The main research contents are as follows:First,analyze the type of deburring features of the rotary casing,study the floating deburring process of features,and build a robot deburring processing platform on this basis.Aiming at the deburring of the outer contour of the special-shaped boss of the rotary casing,the deburring processing system of the electric spindle-radial floating tool holder-90°conical rotary file is selected,and the Latin hypercube experiment and the orthogonal experiment of the Mm criterion are designed to construct the data.Set,based on the Gaussian process regression theory,consider cross-validation,analyze the influence of different kernel function combinations on the model prediction accuracy,and establish a proxy model between the deburring system and the chamfer width and roughness.Construct a multiobjective optimization technology for deburring parameters based on GPRM-NSGA-II,and obtain the best combination of deburring process parameters for the deburring processing system according to the mathematical model of the target deburring requirements.Secondly,construct the attribute adjacency graph containing the geometric topology information of the rotary receiver.Define the subdivision type of hole/abnormal-shaped boss,and propose a rule-based hole feature extraction algorithm by analyzing the surface/edge node relationship of the hole subdivision feature;for the special-shaped boss feature,define the common feature surface of the rotary receiver,analyze The composition and type of special-shaped bosses,and the corresponding extraction algorithm is proposed.According to the deburring process of subdivided features,the numerical method to quantify the deburring trajectory of the feature is studied,and the method of judging the characteristic transition curve of the special-shaped boss and the adjustment strategy of tool collision interference are further proposed.Based on AnyCAD’s secondary development technology,build a feature extraction and self-programming system for rotary receivers,summarize the functions of the feature extraction module,trajectory calculation module,and post-processing module in the system framework,and further introduce the hole/abnormal shape based on this The internal function realization process of the system of the boss feature.Finally,the effectiveness of the AnyCAD feature extraction and self-programming system is verified through experimental research.The system is used to verify the function and experimental verification of the hole subdivision feature.For the special-shaped boss feature,two rotary receivers are selected to verify the convexity of the system.Platform feature extraction function,select non-closed bosses for experimental verification on the robot deburring processing platform.