Effect of matte coating on 3D optical measurement accuracy

Paloušek, David; Omasta, Milan; Koutný, Daniel; Bednár, J; Koutecký, Tomáš; Dokoupil, Filip

doi:10.1016/j.optmat.2014.11.020

Cited by 106 publications

(57 citation statements)

References 14 publications

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“…A titanium powder mixed with alcohol was applied by airbrush to make matt surface. The layer thus applied according to [15] has a thickness in micrometers.…”

Section: Experimental Methodsmentioning

confidence: 99%

Shape distortion analysis of drawing die by optical 3D scanning

2019

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The contribution dealing with analysis of drawing die shape distortion using optical 3D scanning. The wear of drawing die has a significant influence on the shape stability of the produced tubes. Early identification and determination of wear on the drawing die leads to elimination of production errors. Metrological measuring systems can be used to analyse shape distortion. The optical 3D scanner GOM ATOS II TripleScan SO MV170 (measuring volume: 170 × 130 × 130 mm; camera resolution 2448 × 2050 px (5 Mpx); measuring point distance: 0.07059 mm) was used for experimental measurement of drawing die. The 3D scanned weared drawing die was compared with the reference CAD model. The result of the comparison is the colour deviation map of drawing die's shape and various inspection sections.

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“…A titanium powder mixed with alcohol was applied by airbrush to make matt surface. The layer thus applied according to [15] has a thickness in micrometers.…”

Section: Experimental Methodsmentioning

confidence: 99%

Shape distortion analysis of drawing die by optical 3D scanning

2019

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“…The first studies on the issue, published by Keller P. [5], among others, were focused on the analysis of origin of errors, derived from using an optical measuring method during the control of flat elements, and reducing them to an absolute minimum. In their paper, Palousek D. et al [6] discussed a study on the measuring accuracy depending on type and thickness of the used flatting agent's layer. A paramount conclusion from their studies is supported by the fact that the use of a titanium-based protective coating instead of traditional chalk makes it possible to diminish 10-fold the thickness of coating, with the maintenance of a high measuring accuracy.…”

Section: Introductionmentioning

confidence: 99%

Measurement strategy as a determinant of the measurement uncertainty of an optical scanner

Koteras¹,

Wieczorowski

Znaniecki³

et al. 2019

Archives of Mechanical Technology and Materials

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The subject of the article is an attempt to determine the impact of the applied measurement strategy on the accuracy of the measurement result. This problem is particularly crucial when measuring large objects. In these cases, it is not always possible to provide ideal conditions for the submission of particular scans. It is necessary to adjust the strategy to specific imposed conditions defined by the geometry of the object and to the time frame of the measurement itself. With regard to the above, an attempt was made to carry out a series of accuracy studies testing the structural light scanner while measuring elements of overall dimensions greater than the measuring capacity of the scanner. At the same time, various potential measuring strategies were simulated in practical applications. Our studies were conducted using a pre-designed test template with a defined distribution pattern of reference points and geometrical elements. Moreover, in order to make an in-depth investigation of the issue, some trials were undertaken with the use of limiting parameters. That means the scanner had both an excess and shortage of information required for a correct assembly of scans. Those scopes were taken into consideration in the study in order to use the acquired knowledge in practical measuring applications. Furthermore, conclusions from the conducted studies indicate peaks and troughs of respective measuring strategies with special care for determining relationships among the used strategies and the measuring accuracy parameters.

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“…(17) The measurement deviation and statistical values of variance were determined by Palousek et al for the 3D digitization of glossy surfaces coated with a titanium oxide coating or a chalk powder spray. (18) A 3D optical scanner, ATOS III Triple Scan, was used for capturing and evaluating the data, which revealed a significant difference between the chalk and the titanium matte coatings.…”

Section: Introductionmentioning

confidence: 99%

Development of a Color Object Classification and Measurement System Using Machine Vision

Ngo¹,

Porter²,

Hsu³

2019

Sensors and Materials

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Machine-vision-based reading and sorting devices have been used to measure and classify items. Here, we extend their application to the sorting and assembling of items identified by their geometry and color. In this study, we developed an improved machine vision system that is capable of discerning and categorizing items of distinct geometries and colors and utilizes a computer-controlled robotic system to manipulate and segregate these items. Hence, a machine vision system for an automatic classification process while operating a robotic arm is hereby developed. To obtain positioning information, the proposed system uses cameras that were mounted above the working platform to acquire images. Perspective and quadratic transformations were used to transform the image coordinates of the calibration system to the world coordinates by using a calibration procedure. By these methods, the proposed system can ascertain the two-and three-dimensional coordinates of the objects and automatically perform classification and assembly operations using the data collected from the visual recognition system.

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Effect of matte coating on 3D optical measurement accuracy

Cited by 106 publications

References 14 publications

Shape distortion analysis of drawing die by optical 3D scanning

Shape distortion analysis of drawing die by optical 3D scanning

Measurement strategy as a determinant of the measurement uncertainty of an optical scanner

Development of a Color Object Classification and Measurement System Using Machine Vision

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