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首页> 外文期刊>Mapan: Journal of Metrology Society of India >Minimum Zone Evaluation for Roundness Error Based on Geometric Approximating Searching Algorithm
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Minimum Zone Evaluation for Roundness Error Based on Geometric Approximating Searching Algorithm

机译:基于几何逼近搜索算法的圆度误差最小区评估

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摘要

Considering the characteristics of roundness error, a new method for roundness error evaluation in the rectangular coordinates, named as Geometric Approximation Searching Algorithm, is presented in this paper. The principle and steps of the algorithm are described in detail. The mathematical formulas and program flowchart are given. At first the algorithm allocates a square and predetermines the ideal centre point as the initial reference point. The radius value of all the measured points are calculated by each corresponding vertexes of the square respectively. After each vertex of the square and the initial reference point are used as the ideal centre point to calculate the roundness error, the minimum difference of the radius is obtained. The judgment and arranged square can be done repeatedly. Finally, the roundness error value of the minimum zone circle is determined. The experimental results show that the roundness error can be evaluated effectively and accurately by using this algorithm.
机译:针对圆度误差的特点,该文提出一种新的直角坐标圆度误差评估方法,称为几何近似搜索算法。详细介绍了该算法的原理和步骤。给出了数学公式和程序流程图。首先,该算法分配一个正方形,并预先确定理想的中心点作为初始参考点。所有测量点的半径值分别由正方形的每个相应顶点计算。将正方形的每个顶点和初始参考点作为理想中心点计算圆度误差后,得到半径的最小差值。判断和排列的正方形可以重复进行。最后,确定最小区域圆的圆度误差值。实验结果表明,利用该算法可以有效、准确地评估圆度误差。

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