Drilling-induced delamination measurement using a novel digital image processing algorithm

Lukács, Tamás; Pereszlai, Csongor; Magyar, Gergely; Geier, Norbert

doi:10.1016/j.procir.2023.06.142

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…To meet the requirements of bridge crack identification, the checkerboard corner method is used to calculate the pixel rate of the image [21]. The image plane coordinate values of the checkerboard corner points (except the edge points) are calculated, and the pixel rate of the bridge crack image is calculated.…”

Section: Resolution Of Image Pixel Ratementioning

confidence: 99%

Development of a Model for Recognizing Cracks on Concrete Surfaces Using Digital Image Processing Techniques

Kang

2023

Int. J. Appl. Inf. Manag.

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In this paper, the bridge crack detection method based on digital images is studied. In-depth analysis and evaluation are performed on the image processing algorithms such as image graying, resolution of checkerboard corner pixel rate, filtering denoising, and edge detection, etc. The calculation and software system for bridge crack width based on videos (or images) is implemented, and 15 bridge crack images are used to verify its crack detection accuracy. The results suggest that the proposed crack identification method in this paper can be used for the crack detection of reinforced concrete bridges and class B prestressed concrete bridges properly. When the crack width is greater than 0.3 mm, the calculated crack width value based on images is very close to the measured value.

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Section: Resolution Of Image Pixel Ratementioning

confidence: 99%

Development of a Model for Recognizing Cracks on Concrete Surfaces Using Digital Image Processing Techniques

Kang

2023

Int. J. Appl. Inf. Manag.

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“…Recently, some research has demonstrated that digital image processing techniques allow the delaminated area from visible two-dimensional defects to be determined with good accuracy [ 19 ]. For their part, Lukács et al [ 20 ] have developed a novel image treatment algorithm that recognizes changes induced by the drilling process by comparing initial and post-drilled images and by applying image differencing. However, some manual intervention is required in order to tune the filter thresholds.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis and Application of a Multivariable Regression Technique to Define the Optimal Drilling Conditions for Carbon Fiber Reinforced Polymer (CFRP) Composites

Molina-Moya,

García-Martínez,

Miguel

et al. 2023

Polymers

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Carbon fiber reinforced polymers (CFRPs) are interesting materials due to their excellent properties, such as their high strength-to-weight ratio, low thermal expansion, and high fatigue resistance. However, to meet the requirements for their assembly, the drilling processes involved should be optimized. Defects such as delamination, dimensional errors and poor internal surface finish can lead to the premature failure of parts when bolt-joined or rivet-connected. In addition, the characteristic anisotropy and heterogeneity of these materials, and the issues related to the temperature reached during drilling, make it difficult to obtain optimal cutting parameters or to achieve high material removal rates. This research focuses on the optimization of the CFRPs drilling process by means of experimental analysis—varying the feed and spindle speed—for two different types of commercial drills—a twist tool and a dagger tool. An automatic image processing methodology was developed for the evaluation of the dimensional accuracy and delamination of the holes. The optimization was carried out using a multi-objective regression technique based on the dimensional deviations, delamination and surface finish. The areas with favorable machining conditions have been delimited for both tools and the results indicate that the twist tool allows one to achieve more productive cutting conditions than the dagger tool, when the combination of low feeds and high spindle speeds are the conditions to be avoided.

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Maintaining Image Size by Developing the Cropping Rectangle Method on CT-Scan Images

Guslendra,

Yuhandri,

Defit

2023

2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)

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Drilling-induced delamination measurement using a novel digital image processing algorithm

Cited by 4 publications

References 26 publications

Development of a Model for Recognizing Cracks on Concrete Surfaces Using Digital Image Processing Techniques

Development of a Model for Recognizing Cracks on Concrete Surfaces Using Digital Image Processing Techniques

Experimental Analysis and Application of a Multivariable Regression Technique to Define the Optimal Drilling Conditions for Carbon Fiber Reinforced Polymer (CFRP) Composites

Maintaining Image Size by Developing the Cropping Rectangle Method on CT-Scan Images

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