A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling

Wang, Peng; Lin, Yueda; Muroiwa, Ree; Pike, Simon; Mihaylova, Lyudmila

doi:10.23919/fusion45008.2020.9190527

Cited by 5 publications

(2 citation statements)

References 13 publications

(17 reference statements)

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“…The last technology is passive close-range photogrammetry. This includes the measurement of forgings based on their silhouettes [31][32][33][34][35][36] , and passive stereo vision 37,38 . The first mentioned method showed advantages for in-process measurement of axis-straightness and cross-section of heavy forgings of basic shapes, for which this method is limited.…”

Section: Introductionmentioning

confidence: 99%

Forging measurement using passive stereo vision

Vítek,

Hurník,

Vaverka

et al. 2023

Optical Measurement Systems for Industrial Inspection XIII

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Dimensional inspection during manufacturing of high-temperature forging workpieces is still an unsolved research topic. In this work, an approach to reconstruct the hot forging surface using passive stereovision was proposed. The challenges are the irregular thermal radiation of the forging in the visible spectrum, which is affected by scales, heat haze, and an unstable environment. Unlike the approaches presented in the literature, we use the radiated light, without an external light source. High dynamic resolution images were used to image the forging surface with highly varying brightness. The effect of optical filtering on the contrast of the fine surface structure was investigated and evaluated by spectral analysis of the images, with the best results obtained in the green spectrum. A comparison of feature detectors was performed for the specific surface structure of the hot forging. The best results in terms of density of reconstructed points were obtained using the KAZE method. The final verification of the achievable accuracy was performed in a measurement volume of approx. 500×400×350 mm. An 877 °C hot steel pipe sample was measured with a single point standard deviation error of 0.28 mm, which is an order of magnitude higher than under ideal conditions, but acceptable in comparison with manufacturing tolerances. Further developments could be related to the application of dense image matching, further investigation of interfering effects, and application of the proposed methods in the industrial environment.

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Section: Introductionmentioning

confidence: 99%

Forging measurement using passive stereo vision

Vítek,

Hurník,

Vaverka

et al. 2023

Optical Measurement Systems for Industrial Inspection XIII

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“…Our previous work [8,9] proposes a real-time measurement system based on monocular camera data. A fast structural random forest algorithm detects the steel bars' edges, and a regression algorithm extracts the edges in both optical and thermal videos.…”

Section: Introductionmentioning

confidence: 99%

Image Fusion for Remote Sizing of Hot High Quality Steel Sections

Lin

Wang

Muroiwa³

et al. 2021

Advances in Intelligent Systems and Computing

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This paper proposes an adaptive method for dual camera based steel section sizing, where high accuracy measuring is challenging due to the lack of well pronounced image features. The proposed approach includes additional information from a sidewise positioned checkerboard and enables adaptive image registration. A thorough evaluation of the registration results based on the virtual checkerboard is presented. On the accomplishment of image registration, both a fast Fourier transform and a discrete wavelet transform are adopted for fusion of the registered images. A range of comparisons with various metrics is conducted to achieve the best fusion quality. The hot steel section sizing results show an accuracy that is in line with the rolling standards, i.e. in the tolerance range less than 1.5 mm error.

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