In recent years,the development of the aerospace industry has grown by leaps and bounds.As one of the core components of aero-engine,the centrifugal impeller is recognized as a difficult-to-machine part internationally.In order to improve the rough machining efficiency of the impeller and save the machining time,this paper has completed the following from the perspectives of tool strength and geometric structure,tool axis vector optimization,etc.Work:(1)The impeller roughing conical ball milling cutter is designed.This part mainly studies the tool shape,geometric parameters,materials and so on.The tool size and taper were selected by the finite element simulation method combined with the impeller size,and the improvement of the strength and rigidity of the tool by the tapered structure was verified;the geometric parameters of the tool were optimized by combining the finite element cutting simulation and tool design theory;The material of the tool was also selected,resulting in the development of a conical ball end mill.(2)An empirical model of cutting force is established.According to the existing experience model of milling force,the experience model of milling force for conical ball cutter was established;the orthogonal cutting test is carried out with the conical ball nose cutter and 6061 aluminum plate,and the obtained cutting force data is combined with multiple linear regression.Theoretically,the unknown cutting force coefficient in the formula is solved,and finally the cutting force empirical formula about the depth of cut,the width of cut,the feed rate,the rake angle and the roll angle is obtained.(3)The tool axis vector optimization is carried out based on BP neural network.The model M1 is established by using the cutting force empirical model,which is used to establish the mapping relationship between the tool axis vector and the cutting force;the model M2 is built by using the neural network algorithm to establish the optimized mapping relationship between the cutting force and the tool axis vector.After two models The coordination of the tool axis can realize the optimization of the tool axis vector with the goal of reducing the cutting force.(4)The simulation and experiment of rough machining of impeller runner are completed.Using UG software for impeller runner rough machining tool location planning,generate nc machining tool location file.The cutter axis vector in the cutter position file is optimized by using the optimization model,and then the NC machining program is regenerated.Finally,the actual impeller runner roughing comparison experiment was carried out,which was divided into two groups of experiments before and after optimization,and the tool axis vector optimization algorithm was verified by comparing the processing time. |