2015
DOI: 10.1016/j.precisioneng.2015.05.006
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Intersecting chord method for minimum zone evaluation of roundness deviation using Cartesian coordinate data

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Cited by 16 publications
(9 citation statements)
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“…In recent years, Kim et al [7] proposed a two-step circle detection algorithm using pairs of chords which revealed how a pair of two intersecting chords locates the center of the circle. Liu et al [8] used the crossing relationship of chords to construct the intersecting structure and the minimum zone model of the roundness deviation. These are both effective explorations into intersecting chord methods.…”
Section: Formulation Of the Intersecting Chordsmentioning
confidence: 99%
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“…In recent years, Kim et al [7] proposed a two-step circle detection algorithm using pairs of chords which revealed how a pair of two intersecting chords locates the center of the circle. Liu et al [8] used the crossing relationship of chords to construct the intersecting structure and the minimum zone model of the roundness deviation. These are both effective explorations into intersecting chord methods.…”
Section: Formulation Of the Intersecting Chordsmentioning
confidence: 99%
“…I is the farthest point to V 1 in dataset P i . The virtual centre V 2 of intersecting chords is determined by the coordinates of G, H and I using equation (8). The purpose of this step is to determine two chords, GH and GI.…”
Section: The Evaluation Model Of the Mcsp Based On The Intersecting C...mentioning
confidence: 99%
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“…Cui et al proposed an iterative neighborhood search approach for roundness evaluation [12], with a quickly converging algorithm. Based on the feature points model, Fei et al [13] and Liu et al [14] studied an intersecting chord method for the minimum zone evaluation of roundness. This method uses the crossing relationship of the chords to construct the intersecting structure and evaluation model of the minimum zone roundness (MZR) deviation.…”
Section: Introductionmentioning
confidence: 99%