Results of the CIRP-Euromet Intercomparison of Ball Plate-Based Techniques for Determining CMM Parametric Errors

Balsamo, Alessandro; Colonnetti, G.; Franke, Matthias; Trapet, E.; Wäldele, F.; Jonge, L. De; Vanherck, Paul

doi:10.1016/s0007-8506(07)60866-x

Cited by 30 publications

(16 citation statements)

References 8 publications

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“…Kinematic errors are errors due to imperfect geometry and dimensions of machine components as well as their configuration in the machine's structural loop, axis misalignment and errors of the machine's measuring systems [1,41,28,89,45,134,158,126,127,116,130,8,128,2,121,95,44,62,96,48,123,153,12,17,46,118,90,19,20,166,170,171]. If the position of one axis influences the location and component errors of another, then the single errors of this axis are functions of the axis under test and of the influencing axis.…”

Section: Kinematic Errorsmentioning

confidence: 99%

See 1 more Smart Citation

Geometric error measurement and compensation of machines—An update

Schwenke¹,

Knapp²,

Haitjema³

et al. 2008

CIRP Annals

814

389

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Section: Kinematic Errorsmentioning

confidence: 99%

“…Significant research has been presented on the indirect evaluation of geometrical errors based on displacement measurements [11,127,8,44,48]. For displacement transducers interferometers or ball bars have been used.…”

Section: Example 3: Indirect Measurement Based On Displacement Measurmentioning

confidence: 99%

Geometric error measurement and compensation of machines—An update

Schwenke¹,

Knapp²,

Haitjema³

et al. 2008

CIRP Annals

814

389

View full text Add to dashboard Cite

“…A comprehensive review paper by Wilhelm et al outlines the five main categories and estimation of uncertainty in coordinate measurement systems (CMS); hardware, work-piece, software-fitting algorithms, sampling strategies, and extrinsic factors [11,[13][14][15][16][17][18][19]. In other words, complete knowledge of the above five categories is rather difficult for any measurement task.…”

Section: Introductionmentioning

confidence: 99%

Task‐specific measurement uncertainty budget of Curvic‐coupling using analytical methods

Gashi¹,

Toman²,

Matharu³

2019

19th International Congress of Metrology (CIM2019)

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A number of Industrial reference components manufactured by grinding to achieve tight dimensional tolerances. In this paper, we present an uncertainty budget of a reference forty-tooth #Curvic measured using an accurate Coordinate Measuring Machine (CMM) in a temperature-controlled laboratory. A number of measurements conducted on Curvicto assess measurement repeatability and reproducibility. Expanded uncertainty budget evaluated from twenty-one Influencing factors, giving8.7 µm (7.1 µm from Type A) and 11 µm (9.6 µm from Type A), respectively, for repeatability and reproducibility test (k >2). Measurement uncertainty due to steady-state thermal effects is 2.2 µm. An adaptable model is presented to evaluate transient thermal effects, a factor often neglected in measurement uncertainty. Thermal time constant uncertainty associated with transient thermal effects is evaluated u(τ)= ±398 s, which corresponds to ±15 % of thermal time constant expanded uncertainty, u(τ)= ±2570 s. #Curvic® (Curvic is a trademark of The Gleason Works, 1000 University Avenue, Rochester, NY, 14603, USA)

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“…Articulated arm coordinate measuring machines (AACMMs) inherited the use of reference gauges from the verification processes carried out for coordinate measuring machines (CMMs), where the verification tries to reproduce the real measuring process by using calibrated objects. Various reference artifacts are used in CMMs calibration and verification processes, with the main target being to minimize the artifact’s testing poses [1,2,3]. One-dimensional gauges, such as ball bars or calibrated blocks, two-dimensional targets, such as sphere plate gauges, and three-dimensional targets, such as spheres, cubes or tetrahedra, are commonly used for this purpose.…”

Section: Introductionmentioning

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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Results of the CIRP-Euromet Intercomparison of Ball Plate-Based Techniques for Determining CMM Parametric Errors

Cited by 30 publications

References 8 publications

Geometric error measurement and compensation of machines—An update

Geometric error measurement and compensation of machines—An update

Task‐specific measurement uncertainty budget of Curvic‐coupling using analytical methods

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

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