On-line detection of oil on steel coils and thickness measurement using hyperspectral camera
The control of thickness homogeneity is a major concern in steel industry for quality issues. In the case of oil, an inhomogeneous coating on whole strip surface can create oxidation and lubrication trouble during coiling. Nowadays, different commercial solutions exist on the market (Light induced fluorescence, infrared gauges) but mainly for punctual measurements. The ability of new devices to characterize thin oil layers have been studied in this paper. This poster is focused on the study of spatial homogeneity for oil layer detection on steel surface for potential new online solution. The results presented in this paper confirm the interest of devices working in 3–5 μm spectral range to potentially answer to industrial needs.
Hyperspectral imaging for food quality analysis and control
Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. "Hyperspectral Imaging for Food Quality Analysis and Control" provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products. Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation. This title includes real-world, practical application to demonstrate the viability and challenges of working with this technology. It provides necessary information for making correct determination on use of hyperspectral imaging.
Damage initiation and propagation in composite shells subjected to impact
Abstract The paper investigates the impact-induced damage initiation and propagation for laminated composite shells under low-velocity impact. A three-dimensional eight-node non-conforming element is described to analyze interlaminar stress distribution, and progressive failure. The damage analysis is performed by using Tsai–Wu quadratic failure criterion, Tsai’s damage modes and an additional delamination formula at all Gaussian points. The damage modes considered are matrix cracking, fiber breakage and delamination. The progressive failure is expressed by reducing stiffness of the material at all failed Gaussian points. Special attention is centered on curved laminates. Impact energy threshold for the onset of damage and transient damage size are predicted for composite shells. The analyses of the flat and curved laminates are compared for discussing their different damage mechanism. In addition, the influence of the stacking sequence, the thickness and the radius of curvature on damage behavior of composite shells are studied.