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大型结构件检测的关键技术与实验研究
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摘要
本文在国家“863”计划支持下,基于FARO激光跟踪仪测量系统,研究了大尺度工件测量中曲面造型、测量规划、数据处理以及误差评定等关键技术,为保证大型工装夹具的产品质量奠定了理论基础,论文取得主要研究成果如下:
     采用计算几何理论,推导了型值点自动选择算法;基于五次B样条插值型值点构造曲面轮廓线,并通过VB编程快速构建曲面模型,为曲面检测提供测量模型。
     基于坐标变换原理推导了测量数据与理论模型的配准算法,为测量数据处理奠定了基础。
     采用间接平差理论推导了平面拟合参数算法,进而构建了判定工件平面形位误差模型;通过求解测量点组到理想曲面的距离偏差和判定其矢量方向确定了曲面轮廓度误差评价方法。
     以大型工装夹具为对象进行了现场检测,根据检测要求构建检测模型、检测流程规划,在此基础上进行样件测量工作,最后通过数据处理评价大型结构件加工装配误差,并分析了影响测量精度的主要因素以及测量的不确定度。
     上述研究成果运用到大型工装夹具加工、组装和检测中,保证了产品的质量,为后续的误差溯源、产品终检、加工和装配工艺的改进提供了依据。
This dissertation is focused upon the development of a complete theoretical package in terms of the surface modeling, measure planning, data processing and error analysis of large-scale structure measurement using a FARO laser tracker system. The following works have been completed:
     With the aid of the principle of computational geometry, the algorithm of characteristic points selected has been conducted by controlling the maximum tolerance between the approximate curves of quintic polynomial and all the points, then the contour line was constructed by interpolating the selected points with the quintic B spline, the surface was shaped rapidly through visual basic programming.
     Based on the coordinate transform theory, this work develops a digitized point sets registration method, which is used to matching the frame of measurement with the reference frame.
     Aiming at the error evaluation on positional tolerance and the profile error, the algorithm of plane fitting was developed according to the indirect adjustment theory, and the profile error for curved surface was estimated through calculating the vector between the measuring points and the nominal model.
     Based on the experiment of large scale jigs detection, the process of measuring was developed with the geometric modeling, measuring planning and error analysis . Simultaneity the factors affect the measurement precision was analyzed and the measurement uncertainty was estimated.
     These research results have some guiding effects on the measurement of large scale structure and provide theoretical foundation of the follow up error tracing and processing improvement ,therefore the study is of great significance theoretically and practically for large-scale parts agile manufacturing.
引文
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