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Isoplanar-based adaptive sampling for model-unknown sculptured surface coordinate metrology using non-contact probe

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Abstract

Optimizing sampling size and point distribution is a difficult issue for sculptured surface measurement. Highly curved areas should be sampled densely and vice versa. To achieve this goal, an adaptive sampling using point laser sensor has been further researched based on isoplanar method for model-unknown surface coordinate metrology. Sampling control points must be previously predicted using the measured data. Therefore, a reference needs to be initially established, and then dynamically updated during sampling process. Isoplanar line method has been employed to plan sampling movement. Curvature-based adaptive step adjustment method and hybrid extrapolation mode have been developed and further employed to calculate the two control increments in both feeding direction and side direction. A group of planar curves, which are utilized as an initial reference for scanning, are primarily sampled in slow tracking stage. As a result, a guide path can be estimated to direct fast scanning for the next path. The surface measurement algorithm was designed and programmed on an open CNC platform. Finally, with the help of linear interpolation technique and macro variables, a practical application has been implemented to verify the proposed fast sampling approach.

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Authors and Affiliations

  1. Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, 116024, China

    Haibo Liu, Yongqing Wang, Xiaoping Huang & Lin Xue

Authors
  1. Haibo Liu
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  2. Yongqing Wang
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  3. Xiaoping Huang
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  4. Lin Xue
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Correspondence to Haibo Liu.

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Liu, H., Wang, Y., Huang, X. et al. Isoplanar-based adaptive sampling for model-unknown sculptured surface coordinate metrology using non-contact probe. Int J Adv Manuf Technol 64, 1695–1707 (2013). https://doi.org/10.1007/s00170-012-4133-0

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  • DOI: https://doi.org/10.1007/s00170-012-4133-0

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