2014
DOI: 10.1016/j.proeng.2014.03.010
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AACMM Performance Test: Influence of Human Factor and Geometric Features

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Cited by 13 publications
(13 citation statements)
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“…Loads and forces computed by MSC-ADAMS simulations improve the accuracy of FEA by providing better assessment of how they vary throughout a full range of motion and operating environments. The developed virtual model corresponds closely with the available instrument used for the first tests [13,14], which showed that both the type of geometry to measure [8,9] as the human factor [10] had great influence on the quality of measurements. Specifically, the CMA used for the development of the methodology (ROMER Sigma 2048 of Hexagon Metrology©) has a spherical working range of Ø1800 mm, length accuracy specification of ±0.025 mm and uncertainty of ±0.045 mm given by the manufacturer.…”
Section: Methodology For Virtual Cma Analysismentioning
confidence: 80%
See 1 more Smart Citation
“…Loads and forces computed by MSC-ADAMS simulations improve the accuracy of FEA by providing better assessment of how they vary throughout a full range of motion and operating environments. The developed virtual model corresponds closely with the available instrument used for the first tests [13,14], which showed that both the type of geometry to measure [8,9] as the human factor [10] had great influence on the quality of measurements. Specifically, the CMA used for the development of the methodology (ROMER Sigma 2048 of Hexagon Metrology©) has a spherical working range of Ø1800 mm, length accuracy specification of ±0.025 mm and uncertainty of ±0.045 mm given by the manufacturer.…”
Section: Methodology For Virtual Cma Analysismentioning
confidence: 80%
“…More recently, Ostrowska et al [6] determine the measurement uncertainty of a CMA by means of a virtual kinematic model using statistical methods (Monte Carlo simulation). Recent research also suggests that, apart from the contributions of the CMA structure, the influence of the operator should be taken into account when assessing uncertainty [7][8][9][10], mainly due to the lack of repeatability in point sampling, stability and forces, or lack of reproducibility for different operators.…”
Section: Introductionmentioning
confidence: 99%
“…AACMMs are mainly meant to be used on-site. That is to say, they are used in various environments where factors such as temperature, vibration level, fixation of the AACMM on the table/tripod and the user's dexterity affect the measurement results [1]. Therefore, AACMM measurement uncertainty depends considerably on the conditions at the measurement site [2].…”
Section: Context Of the Studymentioning
confidence: 99%
“…However, random errors introduced by users cannot be controlled to ensure an optimal trajectory, constant force measurement, and stable contact direction. González-Madruga et al [28] stated that AACMMs lacked traceability and reliability, which was largely based on human error, but the error was not considered in current measurement and evaluation methods. Cuesta et al [29,30] pointed out that AACMM errors related to human factors were caused by non-uniform contact forces, lack of stability, different velocities, and accelerations, among unpredictable probing trajectories, resulting in unpredictable structural deformation during the AACMM measurement process.…”
Section: Introductionmentioning
confidence: 99%