X-ray Inspection of Ceramic Structures

Skacel, Josef; Otahal, Alexandr; Szendiuch, Ivan; Hejatkova, Edita

doi:10.1109/isse.2018.8443652

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…X-Ray is the most effective method for determining damage, especially in ceramic materials. This method provides important and effective analyzes of ceramic and porcelain materials in terms of their chemical structure and determination of postproduction damage in practice [7,8]. However, these methods are much more effective for raw material analysis and offer significant contributions to the development of the chemical process.…”

Section: Introductionmentioning

confidence: 99%

Spectral and Statistical Analysis for Damage Detection in Ceramic Materials

Akgun¹

2020

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In this study, the internal or superficial cracks that may occur during the production of ceramic plates were determined using the impact noise method. In the industry, ceramic materials are frequently used in areas such as kitchenware and construction. Many different methods are used in the quality control processes of ceramic materials. In this study, the sound produced by the impact applied to the ceramic material was analyzed. As a result of the analysis, the material was found to be undamaged or damaged. This method is called the Impulse Noise method. In this study, damaged and undamaged ceramic plates with different cracks were selected and impact plates were applied to the plates by impact pendulum. The ceramic plates used in the application have the same characteristics and dimensions produced by the same company of the same type. The noise generated as a result of the impact applied to a determined point on the tested materials was examined by Wigner-Ville method which is one of the time-frequency analysis methods. In addition, bispectrum and trispectrum analyzes, which are high-order spectral analysis (HOSA) methods, were used. Statistically, signal analysis with running minimum and maximum, mean value and peak to RMS examinations were also added. The applied methods give good results in differentiating between undamaged and damaged ceramic plates.

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Section: Introductionmentioning

confidence: 99%

Spectral and Statistical Analysis for Damage Detection in Ceramic Materials

Akgun¹

2020

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“…The strain difference can be derived from the surface displacement, which is calculated by the crosscorrelation of the laser speckle pattern. On the contrary, there are many common defect detection methods, such as X-ray transmission and backscattering techniques (Okuma et al, 2019;Skácel et al, 2018) and the ultrasound impulse echo method (Barth et al, 2016;Kesharaju et al, 2014;Tripathi et al, 2019), with the aim of detecting defects in both the surface and inner zones. However, these procedures are usually complicated, and the samples are scanned individually with laboratory equipment.…”

Section: Introductionmentioning

confidence: 99%

Characterization of ceramics based on laser speckle photometry

Chen

Cikalova

Bendjus

et al. 2020

J. Sens. Sens. Syst.

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Abstract. Advanced ceramic components are frequently used in industrial applications. As a brittle material, ceramic reacts very suddenly to excessively high stresses. Existing defects lead to rapid crack growth followed by spontaneous destruction. This leads to a functional failure of the entire component. It is therefore important to develop innovative techniques to ensure a good quality condition of ceramic products. Laser speckle photometry (LSP) is an optical nondestructive testing method. It is based on the dynamic analysis of time-resolved speckle patterns that are generated by an external excitation. In this paper, we will present two investigations on ceramic components using the LSP technique. One is the nondestructive stress characterization on ceramic surfaces, and the other is the defect detection on ceramics components. The aim is to improve the quality and safety control of ceramic production in the challenging industrial field. Preliminary results have shown the potential of the LSP sensor system for the nondestructive characterization of ceramics in terms of stress monitoring and surface defect detection.

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X-ray Inspection of Ceramic Structures

Cited by 2 publications

References 1 publication

Spectral and Statistical Analysis for Damage Detection in Ceramic Materials

Spectral and Statistical Analysis for Damage Detection in Ceramic Materials

Characterization of ceramics based on laser speckle photometry

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