Possibilities of CMM Software to Support Proper Geometrical Product Verification

Płowucha, Wojciech; Jakubiec, Władysław; Wojtyła, Mirosław

doi:10.1016/j.procir.2016.02.124

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…They are divided into linear (1 D), planar (2 D) and three-dimensional (3 D) operating systems. [4], [6] The sensor mounting head can be fixed or rotatable. A fixed head cannot be converted into a rotating head, but a rotating head can be fixed.…”

Section: Description Of the Cmm Machinementioning

confidence: 99%

“…measuring its actual shape, comparison with the desired shape and evaluation of metrological parameters such as size, shape, etc. [6] It follows that CMM is a very frequently used machine for quality control of geometric tolerances of products. Due to the abundance of general shaped surfaces, CMM is widely applied in the measurement and quality control of general shaped surfaces.…”

Section: Introductionmentioning

confidence: 99%

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Influence of the Number of Points on the Evaluated Element when Measuring on CMM

Kubátová¹,

Melichar²

2019

DAAAM Proceedings

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Coordinate measuring machines (CMMs) have been a major advance in the field of engineering measurement in recent decades. They were constructed based on the need to measure complex shaped parts in the automotive and aerospace industries. The rapid development of CMMs is based on the need for increasingly accurate dimensional control. On average, every 10 to 15 years, manufacturing accuracy increases by one level of IT. That is why it is necessary to constantly improve and streamline measurement methodologies.The article describes a test that focuses on streamlining the CMM setup in the contact measurement process. The paper deals with the influence of the number of points on different evaluated elements when changing the size of the measured part. The test results will be used to make the measurement plans for measurements in the Metrology Laboratory of the University of West Bohemia in Pilsen more effective.

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Section: Description Of the Cmm Machinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of the Number of Points on the Evaluated Element when Measuring on CMM

Kubátová¹,

Melichar²

2019

DAAAM Proceedings

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“…Compared with other portable metrology devices such as laser tracker [13] and laser scanner [14], photogrammetry cameras can simultaneously monitor a large volume of targets and are also suitable for unstable applications, such as measurement on vibrating platform [15], hand-held operation [16], and real-time 3D measurement [17]. A standard optical coordinate measurement process consists of firmware setting, camera position selection, image collection and processing, 3D reconstruction and data analysis [18]. Despite the fact that optical coordinate measurement has gained large market share in industrial application, there is no automated or established method for measuring and inspection planning.…”

Section: Introductionmentioning

confidence: 99%

Deep Dynamic Layout Optimization of Photogrammetry Camera Position Based on Digital Twin

Wang,

Kendall

et al. 2024

IEEE Trans. Automat. Sci. Eng.

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The photogrammetry system has been widely used in industrial manufacturing applications, such as high-precision assembly, reverse engineering and additive manufacturing. In order to meet the demand of the product variety and short product lifecycle, the factory facilities including photogrammetry devices, should be relocated in response to rapid change in mechanical structure and hardware integration. Nevertheless, the camera position of the photogrammetry system is difficult to select to guarantee an optimal field of view (FoV) coverage of retro-reflective targets during the whole production horizon. Especially in a reconfigurable manufacturing work cell, scaling and calibration of a photogrammetry system requires professional skills and these would cost tremendous labour for rapid configuration each time. In this paper, we propose a novel deep optimisation framework for the photogrammetry camera position for the dynamic layout design based on digital twin. The optimisation framework follows an effective coarse-to-fine procedure to evaluate the FoV visibility over the target frame. In addition, the deep Q-learning algorithm is utilised to find the maximum FoV coverage and avoid collision. Three experiments are implemented to verify the application feasibility of the proposed deep camera position optimisation framework.Note to Practitioners-Large-volume in-process metrology is an essential element in flexible manufacturing systems. Quality of large-volume measurement relies heavily on target visibility within its field of view. In a compact industrial robotic cell, this is extremely challenging as the robot would take the primary position and causing view blockage throughout its operation. This makes the simultaneous monitoring of robot head and the work piece key feature extremely difficult. Manual trial-anderror positioning approach is lengthy and requires high level of expertise, due to both safety and spatial concerns. We approached this problem by simulating the camera's view in a digital twin environment and maximising the target visibility throughout the full operation cycle. The generic framework can provide guidance in metrology setup within automated manufacturing environment, accelerate the system commissioning time, remove dependency of skill level and expand the capability for flexible/reconfigurable manufacturing systems. Although V-STARS camera are used in this application, the framework can be applied for other types of vision systems that requires field of view.

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“…Optical coordinate measurement is becoming popular in manufacturing due to its non-contact nature, high point density, fast data acquisition rates, and relatively high measurement accuracy. With the decreasing prices of optical hardware, such as cameras and projectors, and a large number of complex measurement demands, optical coordinate measurement is used in a number of sectors, including aerospace [1], civil engineering [2], experimental solid mechanics [3] and additive manufacturing [4] A typical optical coordinate measurement procedure involves firmware setup, camera positioning, image acquisition, image processing, reconstruction and data analysis [5]. Although optical coordinate measurement has taken a market share in industrial inspection, the approach lacks an established and automated method for inspection planning; something that is common for contact coordinate measuring machines (CMMs) [6,7].…”

Section: Introductionmentioning

confidence: 99%

Optimisation of camera positions for optical coordinate measurement based on visible point analysis

Zhang

Eastwood

Isa

et al. 2021

Precision Engineering

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Possibilities of CMM Software to Support Proper Geometrical Product Verification

Cited by 9 publications

References 4 publications

Influence of the Number of Points on the Evaluated Element when Measuring on CMM

Influence of the Number of Points on the Evaluated Element when Measuring on CMM

Deep Dynamic Layout Optimization of Photogrammetry Camera Position Based on Digital Twin

Optimisation of camera positions for optical coordinate measurement based on visible point analysis

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