A Curve Network Sampling Strategy for Measurement of Freeform Surfaces on Coordinate Measuring Machines

Mingjun Ren, Lingbao Kong, Lijian Sun, Chi Fai Cheung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)

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.
Original languageEnglish
Article number7979606
Pages (from-to)3032-3043
Number of pages12
JournalIEEE Transactions on Instrumentation and Measurement
Volume66
Issue number11
DOIs
Publication statusPublished - 1 Nov 2017

Keywords

  • Coordinate measuring machine (CMM)
  • free-form surface
  • measurement
  • sampling strategy

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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