2016
DOI: 10.3390/app6070181
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A New Kinematic Model of Portable Articulated Coordinate Measuring Machine

Abstract: Portable articulated coordinate measuring machine (PACMM) is a kind of high accuracy coordinate measurement instrument and it has been widely applied in manufacturing and assembly. A number of key problems should be taken into consideration to achieve the required accuracy, such as structural design, mathematical measurement model and calibration method. Although the classical kinematic model of PACMM is the Denavit-Hartenberg (D-H) model, the representation of D-H encounters the badly-conditioned problem when… Show more

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Cited by 11 publications
(4 citation statements)
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References 25 publications
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“…A large number of articles considered optimizing the AACMM calibration model. Zhao et al [22] proposed a new geometrical model for AACMM structure that eliminates the inadequacies of the D-H convention in singular joint positions. The generalized geometric error parameters of the AACMM are optimized by the Levenberg-Marquardt (L-M) algorithm in the article.…”
Section: Related Workmentioning
confidence: 99%
“…A large number of articles considered optimizing the AACMM calibration model. Zhao et al [22] proposed a new geometrical model for AACMM structure that eliminates the inadequacies of the D-H convention in singular joint positions. The generalized geometric error parameters of the AACMM are optimized by the Levenberg-Marquardt (L-M) algorithm in the article.…”
Section: Related Workmentioning
confidence: 99%
“…However, due to the limitation of the gauge, only the length of a single plane can be obtained. Zhao [29] designed the calibration piece with three tapered holes, which can measure three different lengths. The calibration piece can realize the change of height and spatial position.…”
Section: Introductionmentioning
confidence: 99%
“…Cheng et al [8] compared the nonlinear least method, genetic algorithm method, and simulated annealing method. Experimental results show that nonlinear least square method is very suitable for parameter identification of AACMM and is widely used [10][11][12][13]16]. The sampled data was processed for the exclusion of rough error [11].…”
Section: Introductionmentioning
confidence: 99%