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取样长度和采样点数对分维值的影响
引用本文:李成贵,袁长良.取样长度和采样点数对分维值的影响[J].航空计测技术,1998,18(5):3-5,10.
作者姓名:李成贵  袁长良
作者单位:[1]天津大学精仪学院 [2]太原工业大学机械系
摘    要:在研究分形几何理论的基础上,以不同的取样长度和采样点数,对大量的机加工粗糙表面进行了测量。结果表明;传统的粗糙度评定参数Rα依赖于取样长度;而分形维数D则是表征表面的固有参数,与取样长度无关,虽然受采样点数的影响,但当采样点数足够多时,D值将趋于稳定。

关 键 词:表面粗糙度  分形维数  取样长度  采样点数

The Influence of Sampling Length and Data Acquisition Number on Fractile Dimension
Li Chenggui, Zhang Guoxiong, Yuan Changliang.The Influence of Sampling Length and Data Acquisition Number on Fractile Dimension[J].Aviation Metrology & Measurement Technology,1998,18(5):3-5,10.
Authors:Li Chenggui  Zhang Guoxiong  Yuan Changliang
Institution:Li Chenggui; Zhang Guoxiong; Yuan Changliang
Abstract:Based on the analysis of the fractile geometry theory, we have measured many machined workpieces with rough surface by different sampling length and data acquisition number. The experiment results show that the conventional roughness parameter Ra dependents on the sampling length. However, the fractile dimension D is an instrinsic parameter for characterizing rough surfaces, whichis indpendent of sampling length. Although it varies with the data acquisition number,the D tends to a constant value as the data acquisition number is large enough.
Keywords:Surface roughness  Fractile dimension  Measurement
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