大型飛機(jī)壁板裝配變形控制與校正技術(shù)研究
[Abstract]:Aircraft assembly, as one of the most important and complicated links in the aircraft manufacturing process, directly determines the final performance, quality and life of the aircraft product, and the wallboard is one of the important components of the aircraft. The assembly accuracy will directly affect the compatibility of the aircraft components and the shape accuracy of the whole machine. How to effectively control the panel assembly deformation is one of the technical problems urgently needed to be solved and solved in the aviation industry of our country at present. In this paper, a systematic and in-depth study is carried out from the aspects of panel support layout optimization, detection point layout optimization, panel deformation prediction and correction, and so on, so as to provide an effective solution for the scientific and effective regulation and control of panel assembly deformation. The main research contents are as follows: the research background and significance of this paper are expounded, and the development status of aircraft digital assembly technology at home and abroad is introduced. It is pointed out that the deformation control and correction technology of large aircraft panels is one of the key points and difficulties in the digital assembly of aircraft. In order to improve the stiffness of aircraft panel in digital assembly, an optimization method of panel support layout based on multi-process joints is proposed. The finite element model of panel and process joint is established, and the mixed uniform test design method is used. At the same time, according to the partial least square regression analysis, the mathematical model between the wall strain energy and the supporting parameters of the process joint is established, so as to realize the optimization of the supporting layout of the process joint. The deformation of wall plate under full conformal tool support and process joint support is analyzed and compared. In digital assembly, the position and attitude accuracy of the plane wall panel is calculated by matching the theory and actual position of the detection point, and the deformation can also be described by the position error of the detection point. Therefore, it is particularly important to arrange the detection points on the panel reasonably. In order to describe the panel deformation more comprehensively and to cover more information of panel deformation, an optimal placement method of aircraft panel detection points based on D-Optimality and adaptive simulated annealing genetic algorithm is proposed, which minimizes the estimation error of panel deformation. Select a specified number of detection points from a series of initial points to be selected. In the process of digital assembly of large aircraft fuselage parts, NC locators are widely used to locate and support the fuselage panels. However, the weak stiffness and low strength of the fuselage panels can easily lead to excessive assembly deformation and poor assembly accuracy. In order to control the deformation of the panel, the finite element model of the aircraft panel is constructed firstly. At the same time, the deformation characteristics of the panel during the moving traction of the NC locator are studied by the orthogonal simulation experiment. The position error data of the detection point describing the deformation of the panel are obtained, and then the inverse calculation model between the displacement data of the NC locator and the position error data of the detection point is established by using the partial least square regression analysis method. The model is used to predict and correct the wall plate deformation accurately. In order to verify the correctness of aircraft panel support layout optimization, assembly deformation correction and other methods, the corresponding panel positioning attitude adjustment test system is designed and built, and a series of experimental studies are arranged on this basis. The reliability of the related methods is further verified. Finally, the research contents of this paper are summarized, and the further research contents are prospected.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2015
【分類號】:V262.4
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