AACMM Performance Test: Influence of Human Factor and Geometric Features

González-Madruga, D.; Barreiro, J.; Cuesta, E.; González, Beatriz; Martínez-Pellitero, Susana

doi:10.1016/j.proeng.2014.03.010

Cited by 13 publications

(13 citation statements)

References 11 publications

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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%

“…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%

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Dynamic Deformations in Coordinate Measuring Arms Using Virtual Simulation

Cuesta¹,

Mántaras²,

Luque³

et al. 2015

Int. j. simul. model.

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This paper presents a study for assessing the dynamic structural deformations of one of the most modern, and portable, measurement equipment: the Coordinate Measuring Arms (CMAs or AACMMs). The study of the measurement errors derived from the use of these instruments is still controversial due to a certain lack of traceability and reliability in measurements due to the influence of the human factor acting on a complex 3D structure (with 6 or 7 degrees-of-freedom). When contact measurements are taken into account, the human factor variable originates non-uniform contact forces, lack of stability, different velocities and accelerations, among unpredictable probing trajectories. All these factors lead to conclude that in every manual measurement involving a CMA there is a structural dynamic deformation caused by the approach movement before probing a contact point as well as by the force exerted during probing. In order to determine the amplitude of this deformation and its distribution along the CMA structure a new methodology has been developed. Both depend on the followed trajectory and on the probing force amplitude and orientation. This work presents the methodology and steps required for the construction of the virtual simulation model. The method employs 3D modelling of all elements of the CMA structure, Finite Element Analysis (FEA) software and multibody simulation techniques with flexible bodies. This set of software tools is nowadays capable of creating dynamic virtual models for the dynamic analysis of complex mechanisms (machines, vehicles…) in optimization tasks. The application of these tools supposes a novel approach to the study of the CMA metrological behaviour.

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Section: Methodology For Virtual Cma Analysismentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Dynamic Deformations in Coordinate Measuring Arms Using Virtual Simulation

Cuesta¹,

Mántaras²,

Luque³

et al. 2015

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

“…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%

Rapid and robust on-site evaluation of articulated arm coordinate measuring machine performance

Asmai

Hennebelle

Coorevits

et al. 2018

Meas. Sci. Technol.

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This paper proposes a quick and efficient methodology of uncertainty estimation on measurement results provided by an articulated arm coordinate measuring machine (AACMM). The methodology is highly adapted to industrial applications—a frequent use of these devices—but can also be performed in laboratories. The study stems from an actual need among coordinate measuring arm users to estimate the uncertainty associated with their equipment in specific conditions on the shop floor. It is important to mention that no simple and quick test exists currently to estimate the measurement uncertainty of results obtained with an AACMM in the conditions of the measurement site. In fact, the guidelines and studies addressing measuring machines propose protocols to verify performance or to evaluate uncertainties associated with measurement results, but these protocols are laboratory-type tests (carried out after purchase, re-calibration, etc) and usually take hours to complete.

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“…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%

Design and Validation of a Self-Driven Joint Model for Articulated Arm Coordinate Measuring Machines

Huang

et al. 2019

Applied Sciences

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Articulated arm coordinate measuring machines (AACMMs) have been developed and applied in industrial measurement fields for more than 30 years. Manual operation is typically required during measurement, which introduces uncertain influences, such as fluctuation of measurement force, speed, and acceleration, and leads to poor reliability and reproducibility. In this paper, a novel self-driven joint model is proposed to realize automatic measurement for AACMMs. A self-driven joint is designed by combining the joint of an AACMM with a robotic arm to realize automatic rotation. A self-driven AACMM is designed using three rolling joints and three pitching joints with assigned parameters. A virtual prototype of the self-driven AACMM is established using the Adams software to simulate the driving moment of each joint. The simulation results demonstrate that the designed mechanical structure and selected devices can meet the preset requirements. Additionally, based on the proposed model, a single physical joint is developed and assembled for performance testing. Experimental results demonstrate that the model can achieve a repeatability of 1.39″ (k = 2) when the rotational velocity is less than 1.53 rad/s. Therefore, the proposed design is suitable for use in AACMMs.

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AACMM Performance Test: Influence of Human Factor and Geometric Features

Cited by 13 publications

References 11 publications

Dynamic Deformations in Coordinate Measuring Arms Using Virtual Simulation

Dynamic Deformations in Coordinate Measuring Arms Using Virtual Simulation

Rapid and robust on-site evaluation of articulated arm coordinate measuring machine performance

Design and Validation of a Self-Driven Joint Model for Articulated Arm Coordinate Measuring Machines

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