Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75694
Title: A curve network sampling strategy for measurement of freeform surfaces on coordinate measuring machines
Authors: Ren, MJ
Kong, LB
Sun, LJ
Cheung, CF 
Keywords: Coordinate measuring machine (CMM)
Freeform surface
Measurement
Sampling strategy
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on instrumentation and measurement, 2017, v. 66, no. 11, p. 3032-3043 How to cite?
Journal: IEEE transactions on instrumentation and measurement 
Abstract: One of the essential problems in the measurement of the freeform surfaces on a coordinate measuring machine is to design appropriate sampling plans to improve the industrial practice in terms of the tradeoff between the sampling accuracy and the efficiency. This paper presents a curve network sampling strategy to approximate the measured surface within a required accuracy while minimizing the cost and time for the measurement by adaptively deriving the optimal sampling locations. The method iteratively extracts two sets of iso-planar curves along two different directions on the parts to form a curve network, which is used to reconstruct the measured surfaces based on the Gordon surface fitting method. Two criteria are integrated to determine the locations of the sampled curves in the sampling process, including the surface complexity and the deviation of the reconstructed surfaces from the CAD model. Both the computer simulation and the actual measurement are conducted to verify the superior sampling efficiency of the proposed method to the conventional raster fashion sampling in measuring freeform surfaces.
URI: http://hdl.handle.net/10397/75694
ISSN: 0018-9456
EISSN: 1557-9662
DOI: 10.1109/TIM.2017.2717283
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