Browsing by Author "Khelifi-Touhami, Mohamed Salah"

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    Classifying Surface Fault in Steel Strips Using a Customized NasNet-Mobile CNN and Small Dataset
    (ESRGroups, 2024) Kateb, Yousra; Khebli, Abdelmalek; Meglouli, Hocine; Aguib, Salah; Khelifi-Touhami, Mohamed Salah
    Steel metal is an important product in ferrous manufacturing, and the manufacturing process has to be improved so that hot-rolled strip flaws may be correctly identified. Machine-learning- based automated visual inspection (AVI) systems have been created, however they lack crucial components, such as inadequate RAM, resulting in complexity and sluggish implementation. Long execution times also result in delays or incompleteness. A scarcity of faulty samples further complicates steel defect diagnosis due to the disparity between non-defective and defective pictures. To overcome these difficulties, a deep CNN model is built using the pre- trained NasNet-Mobile backbone architecture. The model, which uses 26 times less data than other papers' datasets, recognizes steel surface pictures with six faults with 99.30% accuracy, outperforming previous methods. This study is beneficial for surface fault classification when the sample size is small, the software is less effective, or time is limited. Avoiding these issues will improve safety and end product quality in the steel industry, saving time and money
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    Numerical simulation of turbulent natural convection in lng cylindrical tank with evaporation
    (Politechnica University of Bucharest, 2023) Khelifi-Touhami, Mohamed Salah
    This study quantitatively examines turbulent natural convection in a heated cylindrical tank filled with liquefied natural gas (LNG). It employs Reynolds-averaged Navier-Stokes (RANS) with a low Reynolds number k-epsilon model and considers evaporative cooling. The simulation accurately captures turbulence dynamics, making it a valuable tool for predicting fluid behavior in the tank. Results reveal the relationship between Rayleigh number, flow intensity, and temperature fluctuations. Higher Rayleigh numbers lead to increased turbulent flow and viscosity. Recirculation jets form at the base, with the highest viscosity. The study also identifies non-uniform evaporative heat flux, intensified by turbulence and higher Rayleigh numbers.