Chapitres D'ouvrages
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Item Synthesis Cordierite Materials Starting from Algerian Kaolin(2018) Kheloui, Meriem; Boumchedda, K.; Boumchedda, S.; Rabehi, BahiaThe objective of this work is to study the synthesis of the cordieritephase from Algerian kaolin known as DD kaolin. To do this, the kaolin iswashed and sieved to prepare a particle size fraction <20l, rich in clay particles,and precipitated magnesium hydroxide is prepared to give magnesium andfinally silica fume is added to the mixtures experimental, tofill the silica deficit.The weighing of the materials is carried out in such a way as to producemixtures close to the ideal phase of the cordierite (2MgO.2Al2O3.5SiO2). Themixing is carried out in a large quantity of water with a metal stirrer at highspeed. The mixture is heated during stirring until the sludge is obtained. Thefinal drying is continued in an oven, the coarse powder obtained isfinely groundin a porcelain mortar.The results of investigations carried out by simultaneous thermal analysis(ATD-TG) show afirst exothermic peak at 945 °C. which is attributed tol-cordierite, a second exothermic peak at 1200 °C. which indicates the crystal-lization ofl-cordierite in Indialite, andfinally an endothermic peak above1400 °C which indicates the fusion of the indialite.The results of investigations of the X-ray diffraction analysis on the calcinedpowders at high temperature, shows that only the Indialite phase is present from1300 °C.Item A New Dominating Tree Routing Algorithm for Efficient and Fault-Tolerant Leader Election in WSNs and IoT Networks(2019) Bounceur, Ahcène; Bezoui, Madani; Lagadec, Loïc; Euler, ReinhardtItem Effect of Thickness on Photocatalytic Activity of TiO2 Thin Films(Springer link, 2015) Bensouici, F.; Bououdina, Mohamed; Iratni, A.; Tala-Ighil, RazikaItem Nanomaterials in Solar Cells(2015) Tala-Ighil, RazikaReducing cost and improving conversion efficiency are the main tasks in order to make photovoltaic energy competitive and able to substitute traditional fossil energies. Nanotechnology seems to be the way by which photovoltaics can be developed, whether in inorganic or organic solar cells. Wide-bandgap nanostructured materials (nanomaterials) prepared from II–VI and III–V elements are attracting an increased attention for their potential applications in emerging energy. They can be prepared in different geometric shapes, including nanowires (NWs), nanobelts, nanosprings, nanocombs, and nanopagodas. Variations in the atom arrangements in order to minimize the electrostatic energy originated from the ionic charge on the polar surface are responsible for a wide range of nanostructures. This book chapter will focus on contribution of nanomaterials in solar cell technology advancementItem Structural Health Monitoring of Beam-Like and Truss Structures Using Frequency Response and Particle Swarm Optimization: Volume 2: Numerical Modelling in Mechanical and Materials Engineering, NME 2018, 28-29 August 2018, Ghent University, Belgium(2019) Zenzen, Roumaissa; Khatir, Samir; Belaidi, Idir; Magd, Abdel WahabIn this paper, non-destructive damage identification in beam-like and truss structures using Frequency Response (FR) data is presented. This approach is to formulate an inverse problem using Particle Swarm Optimization (PSO) and Finite Element Method (FEM) to identify the presence, location and quantification of the damage. PSO is one of the most efficient bio-inspired methods. It is used to minimize the objective function, which is based on FR data. The damage in structure is caused by loss of rigidity at a specific location. The capability and efficiency of this application to identify the location and severity of damage are demonstrated by means of several numerical examples. The results of the proposed approach show good accuracy.Item Application of Improved Artificial Neural Network Algorithm in Hydrocarbons’ Reservoir Evaluation: Artificial Intelligence in Renewable Energetic Systems(2019) Doghmane, Mohamed Zinelabidine; Belahcene, Brahim; Kidouche, M.The aim of this work is to develop an artificial neural network software tool in Matlab which allows the well logging interpreter to evaluate hydrocarbons reservoirs by classification of its existing facies into six types (clay, anhydrite, dolomite, limestone, sandstone and salt), the advantage of such classification is that it is automatic and gives more precision in comparison to manual recognition using industrial software. The developed algorithm is applied to eleven wells data of the Algerian Sahara where necessary curves (Gama Ray, density curve Rhob, Neutron porosity curve Nphi, Sonic curve dt, photoelectric factor curve PE) for realization of this technique are available. A graphical user interface is developed in order to simplify the use of the algorithm for interpretersItem Oscillation Detection Using PMU Technology in the North Africa Power System(Springer, 2019) Tsebia, Mohammed; Bentarzi, HamidMonitoring of the electrical power system has an importance in itsreliability. In order to ensure the best monitoring, the system of measure andcommunication must be precise and in real time. The integration of PMUtechnology in the electrical power system improves reliability monitoring for thelocal and large area power system. In this paper, we have used PMU technologyin the North African electric power systemItem PMU deployment in power system oscillation monitoring(Springer, 2016) Recioui, Abdelmadjid; Bentarzi, Hamid; Tsebia, MohammedOscillatory events at low frequencies are commonly witnessed in interconnected power systems. Phasor Measurement Units (PMU) can provide time-synchronized measurements; it can communicate the synchronized local and inter-area information to remote station. In this paper, we have modeled a PMU, and we have tested it in the 14-bus power system . It proposes a real-time monitoring tool that exploits synchronized phasor measurements from PMUs, which allow real-time analysis of higher-frequency events, filling the lack of such monitoring application in the power systems areaItem Static and dynamic behaviours of composite laminate(Nova Science Publishers, 2012) Zitoune, R.; Mir, A.; Hachemane, B.; Boyer, F.; Bouvet, C.; Collombet, F.; Bezzazi, B.