基于統(tǒng)計(jì)學(xué)習(xí)的自由曲面輪廓度誤差評(píng)定與不確定度研究
[Abstract]:With the wide application of free-form parts in automobile manufacture, aerospace, shipbuilding, die processing and so on, more and more strict requirements have been put forward for the machining accuracy of these parts. At present, how to realize the high efficiency and high precision detection of free-form surface parts has become an important research content of product surface quality inspection. In order to obtain machining quality information of free-form surface, the evaluation model, algorithm and error uncertainty estimation method of free-form surface contour error are studied in this paper. Firstly, according to the classical definition of shape geometric error, a mathematical model for evaluating the contour error of free-form surface is established by integrating the homogeneous coordinate transformation theory and the minimum region criterion in the kinematics of rigid body. The advantage of this model is that it uses the least square method to prelocate the measured points, and takes the pre-processed effective measuring points as the initial measurement data for precise positioning, thus locking the high quality initial pose for the implementation of the precision localization algorithm. Secondly, a method for evaluating the contour error of free surface based on sequential quadratic programming (SQP) is studied. For the surface with only known CAD model, a STL (STeror Lithography) model method is proposed to calculate the minimum distance from the measuring point to the free surface, and the partition approximation method is used to calculate the minimum distance from the measured point to the surface for the surface with known parametric expressions. Then, using the sequential quadratic programming algorithm and the linear differential motion model of the distance function, the optimal registration between the measured points and the theoretical surface is realized. In addition, the error evaluation algorithm is simulated by MATLAB, and the comparison results show that the algorithm is effective. Finally, the factors of uncertainty affecting the contour error of free-form surface are analyzed, and a model for estimating the uncertainty of contour error of curved surface is established according to the uncertainty propagation law in the guide to express the uncertainty of measurement. Finally, the above models and algorithms are verified by building an experimental platform.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TP391.72;O186.11
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8 龔堰玨,,
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