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Item type:Item, Etude des activités inhibitrice d'une métallo-bêta-lactamase et de la croissance de A.Baumannii des ligands bases de Schiff symétriques et de leurs complexes de zinc(Université Sétif 1 - Ferhat ABBAS , Faculté de Technologie, 2019) MESSASMA , Zakia; MAHDADI , Rachid Encadrant; OURARI , Ali Co- EncadrantA total of five Schiff bases ligands H2L tetradentate N2O2 and N2S2 (H2L1 at the 2,3-diaminopyridine bridge), (H2L2 and H2L3 based at the 1,2-diaminobenzene bridge), (H2L4 at the 1,3-diaminopropyl bridge) and (H2L5 at the 1,2- diaminoethyl bridge) and their zinc complexes have been synthesized and characterized by routine physicochemical methods namely the melting temperature, solubility, molar conductance, UV-Vis spectrophotometry, IR-FT, NMR1H , NMR13C and elemental analysis. These molecules proved to be stable, soluble in organic solvents with the exception of H2L1 and its complex, non-electrolytes, of structures conforming to those proposed and chelating zinc. The structures of H2L2-H2L5 and their electronic properties were calculated in the gas phase using functional density theory (DFT) via the B3LYP/6-31G (d, p) method. Calculations show that the ligand H2L2 is the most reactive because it has the smaller energy gap. The ligands H2L2-H2L5 have been used as inhibitors against a semi-purified metallo-beta-lactamase (MBL) from Acinetobacter baumannii and have been shown to have a significant inhibitory effect (IC50 ≤ 58.96 μM), compared to the standard inhibitor, EDTA (IC50 = 3.98 mM). An overlap between their energy differences (HOMO, LUMO), their reactivities and their IC50, reveals that the more the energy gap decreases, the more the reactivity increases, the more the IC50 decreases and the more the ligand is effective. The same ligands and their zinc complexes were also tested as antibacterial agents. Tests have shown that these molecules are active on G + bacteria growth but inactive on G- bacteria including A.baumannii. The bacterial wall more developed in them, obviously limits the penetration of the molecule in the bacterial cell and consequently its bacteriostatic or bactericidal action.Item type:Item, Effet des irradiations neutroniques sur les propriétés structurales, électriques et optiques du silicium(Université Sétif 1 - Ferhat ABBAS , Faculté des Sciences, 2019) OSMANI , Nadjet; BOUCENNA , A. EncadrantItem type:Item, Recherche des coefficients de déport optimaux de correction des engrenages cylindriques en développante de cercle(Université Sétif 1 - Ferhat ABBAS , Institut d'Optique et Mécanique de Précision, 2019) HAMMOUDI , Abderazek; Djeddou , Ferhat Encadrant; Keskes , Boualem Co- EncadrantThis thesis addresses the optimization design of involute external cylindrical gears geometry by using an evolutionary algorithm. Among the existing approaches, the Differential Evolution (DE) algorithm is chosen for its simplicity, its power and notably eases of implementation. In the same way, this work deals with deterministic solving of single or/and multi-objective constrained engineering design optimization problems of mixed discrete continuous types. To perform these tasks, two new versions of DE algorithm are proposed and investigated, namely Adaptive Mixed Differential Evolution (AMDE) and modified AMDE. Furthermore, the developed methods in this work aim to handle the mixed variables, to avoid the manual choice of control parameter settings and to increase the convergence speed of the DE. In the first part of the thesis, the performances of the proposed algorithms are numerically tested using several constrained mechanical design problems. The simulation results for the tested problems show that the developed variants provide very remarkable results compared to those reported recently in the literature using various meta-heuristic algorithms. Besides, new optimal solutions for some engineering problems are obtained. In the second part of this work, the proposed methods are applied to solve the problem of the optimal geometry of cylindrical gears. The optimal selection values of profile shift coefficients for cylindrical involute spur and helical gears is performed using the DE/rand2/bin version. In this part, the optimization procedure is developed specifically for an exact balancing of specific sliding coefficient at extremes of contact path and account for gear design constraints. Secondly, the AMDE and the modified AMDE algorithms are applied to optimize the profile tooth of a real spur gear in a large transport machine. Two objectives are considered, the wear resistance and maximum bending stresses of gear teeth. The mathematical model of the maximum bending stresses is developed using the finite element analysis (FEA) calculation. For the two first applications, a significant improvement in balancing specific sliding coefficients and maximum bending stresses are found. Finally, in the third step, the developed algorithms are applied in order to solve the problem of designing a single stage cylindrical speed reducer. The mathematical formulation of the problem takes into account all the standards recommendations specified for complete gear design. For the case study, two speed reducers are considered. Moreover, the optimal results of the developed algorithms are compared with those provided by traditional design method. The obtained results by our algorithms showed a reduction in gearing masses by 33.19% for the first case and 38.55% for the second case compared with the results given by traditional methodItem type:Item, Synthesis and Development of Deep Eutectic Solvents: Characterization Using Quantitative Structure-Property Relationship, and Application as New Solvents in Diesel Purification(Setif 1 University - Ferhat ABBAS , Faculty of Technology, 2022) LEMAOUI , Tarek; BENGUERBA , Yacine Supervisor; BENAICHA , Mohamed Co-SupervisorThe main objective of this thesis is to develop novel models to predict the physio-chemical properties of DESs using the quantitative composition-property relationship (QSPR). The models were developed using the two methods, multiple linear regression (MLR) and artificial neural network (ANN). From the literature, a data set of more than 100 DES and more than 2500 experiment points measuring the physicochemical properties of these DESs, including density, viscosity, electrical conductivity, and pH were collected. The results showed that the proposed models are able to predict the properties of DESs with very high accuracy and can be used for their determination in the absence of experimental measurements, hence reducing the cost, and time for an optimal process design. In addition to this, DESs were investigated for their extraction capacity of thiophene, pyridine, pyrrole, and toluene from n-decane via liquid−liquid extraction (LLE). First, the selected DESs were characterized by measuring their density, dynamic viscosity, and water content. Then, the solubility of each fuel impurity in the DESs was measured. Moreover, the liquid−liquid equilibrium (LLE) data of the pseudo-ternary systems {n-decane (1) + thiophene/pyridine/pyrrole/toluene (2) + DESs (3)} were determined at 298.15 K and 1.01 bar. The solute distribution ratios, selectivities, and the extraction efficiencies of each impurity at a 1:1 solvent to-feed mass ratio were calculated from the experimental LLE data and compared to a benchmark solvent, other ionic liquids (Ils), and DESs reported in the literature. Based on the obtained results, it was concluded that DESs could be considered as effective solvents for the extraction of fuels impurities and can therefore be used in an industrial zone.Item type:Item, Théorème adiabatique et phase géométrique pour les systèmes pseudo-hermitique(Université Sétif 1 - Ferhat ABBAS , Faculté des Sciences, 2021) CHENITI , Sara; MAAMACHE , Mustapha Encadrant