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Thin-Walled Parts Machining Deformation Mechanism And Prediction Technology Research

Posted on:2016-07-23Degree:MasterType:Thesis
Country:ChinaCandidate:P XiFull Text:PDF
GTID:2191330464962995Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
The thin-walled is the key parts in the most of mechanical and electrical products, and it has the characteristics of poor rigidity, high accuracy, etc. At present, due to the thin-walled have the characteristics of complicated structure, high coordination accuracy requirement, the variable thickness and thin wall, thin-walled parts processing with CNC milling machine. In milling process of thin-walled, because of thin wall, weak stiffness of thin-walled, the thin-walled are easily happen deformation result in the cutting force, clamping force and initial residual stress. Which affects, which affects the machining accuracy and surface quality of parts, seriously even causes parts of scrap, and it seriously hindered the development of manufacturing industry especially for aviation industry. Therefore, to study the effect of milling forces on the workpiece deformation in the process of thin-walled milling is of great significance for controlling deformation. In this article, on the basis of understanding the related technology at home and abroad, thin-walled milling mechanism is in-depth researched. The milling force prediction model is established in the process of thin-walled milling, and verified by testing. For the rectangular thin-wall parts, milling finite element model was established in the software of ABAQUS, this model is used to analysis the deformation law of rectangular thin-walled. Based on the finite element model established, further study the milling parameters on the influence of deformation of rectangular thin-walled parts processing, finally through the test validation.Specific work main content is as follows:1. In view of the thin-walled cutting mechanism is analyzed. First of all, the generation of milling force in machining process is analyzed, and the influence factors of cutting force are summarized. Second, the causes of deformation in the process of thin-walled side milling are discussed, and the distortion factors are summarized.2. The establishment of the milling force prediction model. In the process of milling, the generation of cutting force and cutting heat is a very important physical phenomenon. It hasthe extremely important influence for tool wear, cutting power, surface processing quality and deformation of technological system and so on, at the same time, it is closely related to the high and low production costs also at the same time. But in the actual machining process, most machining process using cutting fluid for cooling, so this article ignore cutting heat effect on the deformation of thin-walled parts processing, the finite element model established regardless of cutting heat, Only for another important factor-cutting force prediction model is established. In order to improve the accuracy of forecasting model, This article USES the artificial neural network method that needs historical data to train, In view of the thin-walled milling process, milling force prediction model is established, In order to improve the predictive accuracy of the milling force model, the genetic algorithm was used to optimize neural network, finally validated by test.3. Finite element simulation of deformation of thin-walled parts processing. Through to the study and analyzed of material constitutive equation and the meshing of key technology, finite element model of the deformation of thin-walled parts processing was build, then to carry on the simulation, deformation prediction is obtained, different positions on workpiece deformation law are analyzed.4. On the basis of the finite element model established, According to different milling parameters (feed speed, milling depth, milling width), simulation analysis was carried out on the machining deformation of workpiece, the workpiece deformation influence regular by Each milling parameters were obtained, It provide theoretical basis for the selection of milling parameters and optimization in the process of actual machining thin-walled parts.
Keywords/Search Tags:Thin-walled, Milling force, Genetic algorithm, BP neural network, Processing deformation, Finite element analysis
PDF Full Text Request
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