Optics and Precision Engineering, Volume. 21, Issue 5, 1312(2013)

Geometry searching approximation algorithm for flatness error evaluation

LEI Xian-qing1、*, LI Fei1, TU Xian-ping1, and WANG Shi-feng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    To evaluate the flatness errors of mechanical parts accurately and rapidly, an algorithm using geometry searching approximation to evaluate the flatness error minimum zone was presented. The principle and steps of the algorithm to solve the flatness error was described in detail and the mathematical formulas were given. First, the three edge points of the measured plane were selected as reference points, and the auxiliary points, reference plane and auxiliary planes were constructed based on the reference points. Then, the distance differences of all measurement points to the supposed ideal planes were calculated by taking the reference plane and auxiliary planes as supposed ideal planes. The reference points, auxiliary points, reference plane and auxiliary planes were reconstructed by comparing the distance differences. Finally, by repeating this processes, the minimum zone evaluation for flatness error was implemented. The method was used to process a group of metrical data, and the results indicate that the flatness error value from this algorithm can be reduced by 17.1, 7.3, 18.03, 6.13 and 0.3 μm respectively as compared with those from the convex hull method, computational geometric method, least square method, genetic algorithm and the evolutionary strategy when the criteria of stop searching is 0.000 01 mm, The results demonstrate that the algorithm can get not only the minimum zone solution accurately but also has good stability. It is suited for the evaluation of flatness error measuring instruments and Coordinate Measuring Machines(CMMs).

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    LEI Xian-qing, LI Fei, TU Xian-ping, WANG Shi-feng. Geometry searching approximation algorithm for flatness error evaluation[J]. Optics and Precision Engineering, 2013, 21(5): 1312

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    Paper Information

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    Received: Jan. 18, 2013

    Accepted: --

    Published Online: May. 31, 2013

    The Author Email: LEI Xian-qing (ly-lxq@163.com)

    DOI:10.3788/ope.20132105.1312

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