Study On Process Parameter Adjustment Method Of Milling Of Aero-hair Blade

High precision aero-engine blades have always been the focus of research in the aviation industry.As typical thin-walled parts,different milling process schemes will have a significant impact on the surface quality of their profiles.Based on aircraft engine blade as the research object,to improve the processing quality of blade blade milling process of aerospace adjustment strategy is studied,designed the navigation of blade milling method,established the air leaves the milling force model of milling process,and the optimization of the milling cutter profile and set up the air blade milling process adjustment method,finally completed the navigation hair blade milling process parameters adjustment method of the experiment.The main research work of this paper is as follows:Firstly,a data-driven process parameter adjustment strategy for aircraft turbine blades was proposed theoretically.According to the complex structure of aero-engine blades,the machining difficulties and technological requirements of blades are analyzed,and the process parameter adjustment scheme of aero-engine blades is designed.By using the CAM module of UG,the cutter path trajectory of the navigation blade milling was compiled and the interference check was carried out,and the navigation blade milling method was established.Secondly,for the study of air blade milling process,analyzes the micro yuan spher mill cutting process,based on the practical milling cutting tool coordinate system model is established and calculated the cutter milling area,and combines the characteristic of five axis machining before Angle and roll Angle to describe the processing of cutting tool posture,profile cutter is studied on the influence of blade surface quality of different cutter profile milling milling force generated by the simulated calculation and experiments have been carried out to verify the simulation results.Then,the milling process adjustment method of sailing blades was established,and the milling experiment of blades under multiple milling conditions was designed based on data collection.The milling force data and the blade profile surface characteristic data generated in different milling conditions and tool attitude were collected and processed.On this basis,the estimation model of blade material removal amount based on neural network algorithm was established,which was used to map the blade profile accuracy and quality under different process parameters,and the treated data were divided into data sets for parameter estimation of the model.Finally,based on the communication technology of industrial Ethernet,a machining and testing system integrating CNC machine tools and testing equipment is established.On this basis,taking a certain type of navigation blade as the object,through the analysis of the predicted results of different working conditions,the actual milling experiment of navigation blade on the machining system was carried out and the experimental results were analyzed,which verified the correctness and accuracy of the adjustment method of navigation blade milling processing parameters.