Methodology for the assessment of measuring uncertainties of articulated arm coordinate measuring machines

Romdhani, Fekria; Hennebelle, François; Min, Gao; Juillion, Patrick; Coquet, Richard; Fontaine, Jean François

doi:10.1088/0957-0233/25/12/125008

Cited by 29 publications

(14 citation statements)

References 14 publications

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“…Monte Carlo (MC) method is widely used in measurement uncertainty estimation procedures [12,13], for example applied to coordinate measuring machines (CMMs) uncertainty analysis [14], [15,16,17]. In this work, we used the MC simulation to estimate the uncertainty of the reference artefact in the calibration of length measurement systems.…”

Section: Resultsmentioning

confidence: 99%

Development and Validation of a Calibration Gauge for Length Measurement Systems

et al. 2019

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Due to accuracy requirements, robots and machine-tools need to be periodically verified and calibrated through associated verification systems that sometimes use extensible guidance systems. This work presents the development of a reference artefact to evaluate the performance characteristics of different extensible precision guidance systems applicable to robot and machine tool verification. To this end, we present the design, modeling, manufacture and experimental validation of a reference artefact to evaluate the behavior of these extensible guidance systems. The system should be compatible with customized designed guides, as well as with commercial and existing telescopic guidance systems. Different design proposals are evaluated with finite element analysis, and two final prototypes are experimentally tested assuring that the design performs the expected function. An estimation of the uncertainty of the reference artefact is evaluated with a Monte Carlo simulation.

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Section: Resultsmentioning

confidence: 99%

Development and Validation of a Calibration Gauge for Length Measurement Systems

et al. 2019

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“…Similar approaches developing an AACMM uncertainty model using a multi-level Monte Carlo method can be found in [28,29]. In our work, the input variables of the model were first identified, and the n -homogeneous transformation matrices (XYZABC) were considered the output variables of the IMP’s mathematical model.…”

Section: Verification Procedures With An Indexed Metrology Platformmentioning

confidence: 99%

Virtual Distances Methodology as Verification Technique for AACMMs with a Capacitive Sensor Based Indexed Metrology Platform

Acero

Santolaria

Brau

et al. 2016

Sensors

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This paper presents a new verification procedure for articulated arm coordinate measuring machines (AACMMs) together with a capacitive sensor-based indexed metrology platform (IMP) based on the generation of virtual reference distances. The novelty of this procedure lays on the possibility of creating virtual points, virtual gauges and virtual distances through the indexed metrology platform’s mathematical model taking as a reference the measurements of a ball bar gauge located in a fixed position of the instrument’s working volume. The measurements are carried out with the AACMM assembled on the IMP from the six rotating positions of the platform. In this way, an unlimited number and types of reference distances could be created without the need of using a physical gauge, therefore optimizing the testing time, the number of gauge positions and the space needed in the calibration and verification procedures. Four evaluation methods are presented to assess the volumetric performance of the AACMM. The results obtained proved the suitability of the virtual distances methodology as an alternative procedure for verification of AACMMs using the indexed metrology platform.

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“…However, the measuring accuracy of the AACMM is much lower than that of the orthogonal CMM [5,6], which may greatly limit its applications. A potential strategy to improve the measuring accuracy of the AACMM is to choose high precision hardware components and to apply high requirements for manufacturing and assembly [3,7].…”

Section: Introductionmentioning

confidence: 99%

Structural Parameter Identification of Articulated Arm Coordinate Measuring Machines

Gao

Zhang

Guo

2016

Mathematical Problems in Engineering

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Precise structural parameter identification of a robotic articulated arm coordinate measuring machine (AACMM) is essential for improving its measuring accuracy, particularly in robotic applications. This paper presents a constructive parameter identification approach for robotic AACMMs. We first develop a mathematical kinematic model of the AACMM based on the Denavit-Hartenberg (DH) approach established for robotic systems. This model is further calibrated and verified via the practical test data. Based on the difference between the calculated coordinates of the AACMM probe via the kinematic model and the given reference coordinates, a parameter identification approach is proposed to estimate the structural parameters in terms of the test data set. The Jacobian matrix is further analyzed to determine the solvability of the identification model. It shows that there are two coupling parameters, which can be removed in the regressor. Finally, a parameter identification algorithm taking the least-square solution of the identification model as the structural parameters by using the obtained poses data is suggested. Practical experiments based on a robotic AACMM test rig are carried out, and the results reveal the effectiveness and robustness of the proposed identification approach.

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Methodology for the assessment of measuring uncertainties of articulated arm coordinate measuring machines

Cited by 29 publications

References 14 publications

Development and Validation of a Calibration Gauge for Length Measurement Systems

Development and Validation of a Calibration Gauge for Length Measurement Systems

Virtual Distances Methodology as Verification Technique for AACMMs with a Capacitive Sensor Based Indexed Metrology Platform

Structural Parameter Identification of Articulated Arm Coordinate Measuring Machines

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