Browsing by Author "Nouri, L’hadi"

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Characterisation and comparison of the micromixing efficiency in torus and batch stirred reactors
(Elsevier, 2008) Nouri, L’hadi; Legrand, Jack; Benmalek, Nabila; Imerzoukene, Faiza; Yeddou, Ahmed-Reda; Halet, Farid
The mixing at a molecular scale (micromixing) plays an important role on selectivity, yield and quality of final products of a large range of competing fast chemical reactions. In this study, we have compared, by the use of iodide–iodate reaction tests, the micromixing in two reactors, the first one is the standard batch stirred reactor and the second is the torus reactor. Various conditions of agitation and feed locations were used for this study. A comparative analysis of the micromixedness ratio (α) in the two reactors was carried out on the basis of the local rate of specific energy dissipation
Chemical characterization of phoenicicole biomass fuel in Algerian oasis : deglet nour and ghars cultivars case
(American Chemical Society, 2014) Bousdira, Khalida; Nouri, L’hadi; Legrand, Jack
Estimation of the micromixing time in the torus reactor by the application of the incorporation model
(Elsevier, 2014) Nouri, L’hadi; Abouda, Lakhdar; Legrand, Jack
Just suspended speed simulation in torus reactor using multiple Non-Linear regression model
(MDPI, 2023) Sayah, Houssem Eddine; Alouache, Ali; Annad, Mohamed; Lefkir, Abdelouahab; Nouri, L’hadi; Selatnia, Ammar; Messaoudi, Mohammed
In the chemical and water treatment industries, it is necessary to achieve maximum contact between the solid and liquid phase, thus promoting the mass and heat transfer, to obtain a homogeneous solution. Increasing stirring speed is the most recommended solution in different types of reactors: stirred tank, column, and tubular. However, this inadvertently increases the energy consumption of the industry. Determination of the minimum speed, labeled the just suspended speed (Njs) and crucial to attaining homogeneity, has been widely investigated. Numerous studies have been carried out to assess formulas for determining the solid particle speed in various reactor types. Given the limitations of the existing formulations based on a generalization of a unique equation for computing Njs for all soil classifications, it appears that most formulas can only approximate complex phenomena that depend on several parameters. A novel formula was developed, and the results given in this paper demonstrate the effectiveness of generating significant uncertainties for the estimation of Njs. The purpose of this study was the elaboration of experiment-based data-driven formulas to calculate Njs for different particle size classes. Nonlinear multiple regression (MNLR) models were used to generate the new formulas. The gradient descent optimization algorithm was employed to solve the hyperparameters of each novel equation, utilizing supervised learning. A comparison of the data indicated that the unique formulas presented in this study outperformed empirical formulas and provide a useful means for lowering energy consumption, while increasing the heat and mass transfer in torus type reactors