Multi-view camera system for measurement of heavy forgings

Hurník, Jakub; Zatočilová, Aneta; Konečná, Tereza; Štarha, Pavel; Koutný, Daniel

doi:10.1007/s00170-022-09809-6

Cited by 2 publications

(2 citation statements)

References 33 publications

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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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“…Then the main interference factors affecting the image quality were analysed, and the absolute error of measurement was less than 0.32 mm and the relative error was less than 0.27%. Hurnik et al [7,8] developed a new passive camera system for heavy cylindrical forging measurement based on image contours and proposed new ways of weighted edge filtering for making such a system that is resistant to the negative effects of industrial environments. Zhou et al [5] proposed a method for fast dimensional measurement of large hot forgings based on feature line reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Dimension measurement method of ring forgings based on laser scanning and multiple regression filtering algorithm

Lu¹,

Zhou²,

Zhang³

2023

Meas. Sci. Technol.

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In order to detect the radial is characterized and the isolated points that deviate from the target point cloud are removed using statistical section dimensions of ring parts in the forging process, we present a new method that processes laser scanning data of the outer radial section profile of ring forgings. Based on regression analysis and point cloud filtering, a multiple regression filtering algorithm is proposed to process the point cloud data for the measurement of the outer diameter of ring forgings. First, the laser scanned point cloud data filtering methods. The outlier clusters are then removed using regression analysis and processed by Gaussian regression filtering algorithms to obtain point cloud data with good circularity characteristics. Next, the Least Squares principle is used to fit a circle to the processed data to obtain information on the external diameter of the ring forgings to be measured. Finally, the feasibility of the method is verified by measuring the outer dimensions of the elliptical ring forgings in the experiment and performing error analysis.

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Multi-view camera system for measurement of heavy forgings

Cited by 2 publications

References 33 publications

Forging measurement using passive stereo vision

Forging measurement using passive stereo vision

Dimension measurement method of ring forgings based on laser scanning and multiple regression filtering algorithm

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