| After the development of recent decades,China finally ranks among the world’s manufacturing and export powers.Precision and ultra-precision machining technology is a key technology in aerospace,ships,molds,high-precision instruments and other military and civil equipment fields,and also an important cornerstone for China to become a world manufacturing power.Especially with the development of aerospace industry,aluminum alloy thin-walled parts have been more widely used,but this kind of parts are prone to deformation in machining,making themselves unable to meet the quality requirements.Generally speaking,the processing technology of aluminum alloy thin-walled parts in China still lags behind the developed countries,such as the deformation control research of wing thin-walled parts.Therefore,the effective control of the machining deformation of this kind of parts has always been a subject of great concern,in addition,the deep research on the milling technology of aluminum alloy thin-walled parts is also of great significance for national strategic development.In this paper,the milling state is simulated by finite element simulation and a two-parameter three-objective optimization problem is introduced to realize the milling of aluminum alloy thin-walled parts with less deformation and higher efficiency.The main research work of this paper consists of the following parts:(1)In view of the traditional milling deformation problem,the deformation factors are analyzed in detail,the metal cutting theory is introduced,and the finite element simulation technology to be used is studied in depth.Two-dimensional simulation milling machining are presented,and combined with six factors and five levels of orthogonal experiment,and through the single factor experiment analyzed the various parameters for the milling force and milling temperature of tools,the influence of interaction with the aid of the interaction effects of six factors are analyzed,using partial least squares regression from the six factors(milling parameters: Rotational speed,feed per tooth,axial depth of cut,radial depth of cut,tool geometric parameters: cutter Angle,cutter Angle)to milling force and tool milling temperature model.(2)In order to verify the correctness of the milling force and tool milling temperature model,this paper measured of the experimental data in the Precision Manufacturing Laboratory of Tian Gong University by establishing an experimental system,and verified the correctness of the model under the change of tool Angle through the establishment of three-dimensional milling simulation.(3)To study the multi-objective optimization theory,the principle of several kinds of typical optimization algorithm is carried on the detailed introduction,put forward two parameters of the three target optimization problem,this paper analyses the optimization process,the objective function of them,variable,function and the constraint functions are limited,using 8 kinds of typical optimization algorithm to solve this optimization problem,In order to solve the problems of inconsistent algorithms,inconsistent optimization results and different actual processing effects,a three-dimensional visualization of Pareto front was realized by programming,and the advantages and disadvantages of each algorithm in this kind of optimization problems were analyzed in the view.Secondly,the HV performance index and the running time of the algorithm are used to compare the advantages and disadvantages of the data.The algorithm suitable for this kind of optimization problem is optimized,and the optimization results that can meet different processing requirements are extracted.(4)In order to verify the correctness of the optimization results,"quasi-dynamic simulation processing" of aluminum alloy thin-walled parts was completed by using Python language and ABAQUS "unit life and death" technology,and the deformation amount and deformation cloud map were extracted,and the deformation law was summarized. |
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