Efficient Methods for Evaluating Task-Specific Uncertainty in Laser-Tracking Measurement

Yang, Jingzhao; Li, Guoxi; Gong, Jianming; Wang, Jie; Zhang, Meng

doi:10.1007/s12647-014-0126-9

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Che et al [10] proposed a generic approach to the uncertainty analysis of coordinate transformations based on constrained optim ization uncertainty analysis. Otherwise, many pieces of research have used the singular value decomposition (SVD) method, unit quaternion method, orthonormal matrix method or the iterative closest point (ICP) method [11][12][13].…”

Section: Measurement Science and Technologymentioning

confidence: 99%

A novel method for improving the accuracy of coordinate transformation in multiple measurement systems

Liu

2017

Meas. Sci. Technol.

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Large-scale dimensional metrology usually requires a combination of multiple measurement systems, such as laser tracking, total station, laser scanning, coordinate measuring arm and video photogrammetry, etc. Often, the results from different measurement systems must be combined to provide useful results. The coordinate transformation is used to unify coordinate frames in combination; however, coordinate transformation uncertainties directly affect the accuracy of the final measurement results. In this paper, a novel method is proposed for improving the accuracy of coordinate transformation, combining the advantages of the best-fit least-square and radial basis function (RBF) neural networks. First of all, the configuration of coordinate transformation is introduced and a transformation matrix containing seven variables is obtained. Second, the 3D uncertainty of the transformation model and the residual error variable vector are established based on the best-fit least-square. Finally, in order to optimize the uncertainty of the developed seven-variable transformation model, we used the RBF neural network to identify the uncertainty of the dynamic, and unstructured, owing to its great ability to approximate any nonlinear function to the designed accuracy. Intensive experimental studies were conducted to check the validity of the theoretical results. The results show that the mean error of coordinate transformation decreased from 0.078 mm to 0.054 mm after using this method in contrast with the GUM method.

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Section: Measurement Science and Technologymentioning

confidence: 99%

A novel method for improving the accuracy of coordinate transformation in multiple measurement systems

Liu

2017

Meas. Sci. Technol.

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“…The second procedure was to study the distribution for the PDF using Sequential Monte Carlo (SMC) technique for straightness measurement. The hybrid validation method using these computational procedures has been implemented in five consecutive steps that will be described in details as follows: a.i Calculation of straightness deviation using standard PSO algorism Particle Swarm Optimization algorithm is an efficient optimization tool for nonlinear continuous optimization problems, combinatorial optimization problems, and mixed-integer nonlinear optimization problems [23]. PSO algorithm has been used to overcome the limitations of standard SMC technique.…”

Section: Aiiiii Straightness Measurement In 3dmentioning

confidence: 99%

Experimental And Theoretical Validation Method For Estimation Of Straightness Deviation And Associated Uncertainty In Cnc-Cmm Measurement

Ali

Khalafalla

Naeim

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Geometrical deviation in intelligent metrologyComparison with relevant report showed agreement with our result since we used a computationally efficient modified SMC technique and PSO algorithm. The results of the straightness deviations and associated expanded uncertainties for both 2D and 3D measurements have been discussed and compared. They were found to be suitable for the proposed validation method. This work confirms that the developed strategic alternative methodology can be achieved successfully. Systematic acquisition of CNC-CMM data is another contributing factor for improving the required accuracy in measurement. Moreover, the confidence in the proposed hybrid validation method for estimating the straightness deviation with associated uncertainty has been achieved.

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“…The paper [7] shows an application of the sensitivity approach to evaluation of measurement uncertainty of straightness, coaxiality, concentricity, position of axis, runout and distance between axes. Task specific uncertainty assessment techniques are still up-to-date and investigated by researchers [19][20][21]. However, only several uncertainty assessment techniques are available for the specific points of the calibration of CMMs, including those mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

2021

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Reliable measurement uncertainty is a crucial part of the conformance/nonconformance decision-making process in the field of Quality Control in Manufacturing. The conventional GUM-method cannot be applied to CMM measurements primarily because of lack of an analytical relationship between the input quantities and the measurement. This paper presents calibration uncertainty analysis in commercial CMM-based Coordinate Metrology. For the case study, the hole-plate calibrated by the PTB is used as a workpiece. The paper focuses on thermo-mechanical errors which immediately affect the dimensional accuracy of manufactured parts of high-precision manufacturers. Our findings have highlighted some practical issues related to the importance of maintaining thermal equilibrium before the measurement. The authors have concluded that the thermal influence as an uncertainty contributor of CMM measurement result dominates the overall budgets for this example. The improved calibration uncertainty assessment technique considering thermal influence is described in detail for the use of a wide range of CMM users.

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Efficient Methods for Evaluating Task-Specific Uncertainty in Laser-Tracking Measurement

Cited by 7 publications

References 14 publications

A novel method for improving the accuracy of coordinate transformation in multiple measurement systems

A novel method for improving the accuracy of coordinate transformation in multiple measurement systems

Experimental And Theoretical Validation Method For Estimation Of Straightness Deviation And Associated Uncertainty In Cnc-Cmm Measurement

Metrology and Measurement Systems

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