01.Faculty of technology_Seminars

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3D Finite element simulation of metal waste compaction process
(University of Eloued جامعة الوادي, 2018-12-10) Bokhors, S.; Benhizia, A.; Outtas, T.
This paper presents a numerical study of the dynamic compaction of random cylindrical metal waste assembly. The analysis of the process is based on a new method to place the waste randomly in the chamber, using the 3D collision detection function in SolidWorks that can highlight interferences and collisions. The material is considered to be elasto-plastic. A threedimensional study was carried out using the finite element method in an explicit dynamic analysis. The study offer useful information on the packing density variation within the loading applied. The results provide a better understanding of the dynamic compaction process.
A Demonstratif Overview of Photovoltaic Systems Faults
(University of Eloued جامعة الوادي, 2019-02-24) Bouraiou Ahmed; Ammar Neçaibia; Rachid Dabou; Abderrezzaq Ziane; Nordine Sahouane; Abdeldjalil Slimani
Abstract—The faults occurring in any industrial systems affects its performance. Moreover, the knowing of the photovoltaic systems faults is a key task for insuring the PV system reliability and good operation, this paper reviews the different defects of the components of photovoltaic (PV) systems (stand-alone, grid- connected). Focusing on the photovoltaic modules defects presentation which are the sensitive component in this chain.
A Hybrid Optimization Approach to identification problem in thermodynamic models
(Universty of El-oued جامعة الوادي, 2019-02-24) Merzougui.A1,2; Hasseine.A1,2; Laiadi.D1,2
The interaction parameter estimation problem in thermodynamic models is an important requirement and a common task in many areas of chemical engineering because these models form the basis for synthesis, design, optimization and control of process. For bad starting values the use gradient based result in local optimal solutions. To overcome this drawback, a global optimization approach, Simulated Annealing and genetic algorithm, has been coupled with a Nelder-Mead simplex method. To improve the accuracy of the interaction parameter estimate. The experimental ternary LLE data for extraction of toluene from n-heptane with aniline were considered in the NRTL and UNIQUAC activity coefficient model. In conclusion, the different obtained results of the prediction of liquid–liquid equilibrium are compared. These results were obtained to justify that the process of optimization recommended is very practical to estimate the interaction parameters of this ternary system.
A Hydraulic Comparison between Center Pivot Irrigation Traditional and Modern Type ANABIB
(University of Eloued, 2019-02-24) Hadji Mohammed Salah; Guerrah Ayoub; Mansouri Khaled
The objective of this article is to realize a hydraulic comparison between the traditional and modern irrigation pivot system (Type ANABIB). This comparison is based on evolution of hydraulic parameters like pressure, flow and length between the sprinklers (nozzles) to obtain a homogeneous distribution of water over the entire irrigated area. Center Pivot irrigation has an important agricultural component in Algeria, especially in the South such (El Oued, Ouargla, Biskra, Meniaa, Adrar, etc.). However, this irrigation technique is often used by farmers, who don’t have the scientific expertise to develop and improve the performance of their equipment, taking into account the weather conditions of desert areas, as well as the sizing of the pumping system. Farmers in Souf deal with the traditional pivot system and don’t accept the modern type ANABIB with suitable normalization factor because its high cost. Therefore, the necessity to improve hydraulic performance of the traditional system until it has a high normalization factor and good uniformity of irrigation. However in well-designed devices we can get a good hydraulic efficiency the order of 85%. The results of the work observed for the hydraulic parameters of traditional system commonly used by farmers give us 59,58 and 70,76% of Cuh that values gives us the possibility to improve its uniformity of irrigation by the predominant effect of the sprinkler distance to get an acceptable values of normalization factor (over than 85%), on the other hand ANABIB system gives 95,98 and 97,28% of Cuh that considers as a perfect values . It is intended that this article be served as a starting point from which improved uniformity may be developed in the future
A new classification of clock Synchronization in Wireless Sensor Networks
(University of Eloued, 2019-02-24) Habib Aissaoua; Makhlouf Aliouat; Abdelkader Laouid; Farid Lalem
Since the birth of computer networks and distributed systems, the clock synchronization issue has been considered as a major challenge. In fact, the importance to have clocks synchronized resides in the fact that a wide range of communication protocols and applications necessitate a common notion of time for the overall network nodes to operate perfectly. MAC protocols and node sleep scheduling are protocol examples based on synchronized clocks. The design of synchronization protocols is challenged by the uncertainty arising from message latency and clock drifting, and also by resource constrained nodes. In this work, we first exhibit the basic concepts of the clock synchronization issue, and we provide a thorough classification based on the features that have to be considered when designing synchronization protocols in such networks
A New robust Level Set image segmentation method based Signed Pressure Force function : Application to Medical Images
(Universty of Eloued جامعة الوادي, 2019-02-24) Messaouda LARBI; Abdelghani ROUINI; Zoubeida MESSALI; Samira LARBI
Segmentation is an extremely active field of research since it is an important step in the treatment and the interpretation of the medical images. It represents one of the most difficult step for relevant parameters extraction from images. In this paper, we study A New robust Level Set image segmentation method is developed by formulating Signed Pressure Force Function (SPF). The advantages of this method are Firstly, the Function of Signed Pressure can efficiently stop the contours at weak or blurred edges, Second, exterior and interior boundaries can be detected no matter where the initial contour starts. We compare this method with Chan Vese (C-V) model and Geodesic Active Contours (GAC). The performance of each method can be evaluated either visually, or from similarity measurements between a reference and the results of the segmentation. We have applied each method for different medical images. Through simulated results, we have demonstrated that the best results are achieved by the proposed method.
A New Rotor Broken Bar Fault Diagnosis by Using CNN Based Current Signal of An Induction Motor
(University of Eloued, 2023-12-11) ADAIKA Hamza; TIR Zoheir; SAHRAOUI Mohamed
Abstract— In industrial contexts, the efficient operation of induction motors is paramount, necessitating robust condition monitoring and fault diagnosis techniques to mitigate costly disruptions. In this study, we introduce an innovative approach for intelligent fault detection of broken rotor bars in induction motors, harnessing the "Signal2Image" method and convolutional neural networks (CNN). Leveraging a comprehensive current signal dataset from Aline Elly Treml Western Parana State University, encompassing various levels of broken rotor bar (BRB) faults and diverse loading conditions, our method automatically extracts essential features from input data. The "Signal2Image" process transforms time-domain current signals into 2D grayscale pixel images, facilitating CNN-based image classification to identify fault-related patterns. Through meticulous CNN parameter tuning, we achieve an impressive fault classification accuracy of 88% across all fault cases while optimizing computational efficiency. A significant contribution of this work is the substantial reduction in computational time for fault classification, surpassing existing approaches. This research enhances fault detection accuracy and streamlines the process, contributing to the field of predictive maintenance for induction motors.
A Simple Efficient Finite Element for the Sandwich and Laminated Composites Plates Analysis
(Universty of El-oued جامعة الوادي, 2019-02-24) Khmissi BELKAID; Khmissi BELKAID; Gaagaia Djamel Edinne.; Aouaichia Hamza; Fergani Nadir; Boutasseta Nadir
In this work, the theory of Reddy’s third order shear deformation Kinematic and from the equivalent approach single layer are used in order to suggest a simple efficient finite element for the analysis of isotropic and composite laminated and sandwich plates. The proposed element is an isoparametric 2D quadrilateral C0 four-node with seven degrees of freedom (7DOF) per node, three translation, two rotations and two higher order rotational degrees. The selective numerical integration technique is presented for the formulation in order to improve the performance of model and to surmount the locking problem in thin plate case. Furthermore, the performance and reliability of the proposed model are investigated by comparing the author’s results with those obtained using the three dimensional elasticity theory, analytical solutions and other advanced finite element models.
A simple equation for estimating hourly water consumption in CSP plants
(University of Eloued جامعة الوادي, 2019-02) T.E. Boukelia; A. Ghellab; A. Laouafi; A. Bouroui
Abstract— Unlike conventional thermal power plants which are generally erected in the coastal regions near water bodies, seas and oceans, where water resource availability is not a critical factor, concentrating solar power (CSP) plants are usually installed in high sunny zones which generally characterized by semi-arid and arid climates, where water resources are hard to find and/or to employ. On the other side, the hourly simulations of water consumption in CSP plants are very complex and require many calculations, data analysis and time consuming. Therefore, the aim of this paper is to develop a simple equation to estimate the hourly water consumption of a solar tower plant based on its generated power, and the existing power plant Gemasolar has been chosen to establish the methodology. The obtained results of the statistical analysis show that the cubic model based on the generated power, can be used as a simple and general model to predict hourly water consumption in a large scale solar tower power plant.
A Survey on modulation approaches for Z-source
(Universty of El-oued جامعة الوادي, 2019-02-24) Ali TETA; Mohamed Mounir REZAOUI; Abdellah KOUZOU; Aicha DJALAB
This paper discusses and compares several control strategies for the Z-source inverter, contrary to the traditional inverters the impedance network in the ZSI provides one extra switching state called shoot-through state which ensures the unique buck-boost voltage feature. This study aims to analyze and compare four control methods namely, SBC simple boost control, MBC maximum boost control, MCBC maximum constant boost control and maximum constant boost control with third harmonic injection.
Adaptive consistency models in the cloud: review and comparative study
(University of Eloued, 2019-02-24) Abdennacer Khelaifa; Saber Benharzallah; Laid Kahloul
NoSQL storage systems are used extensively by Web applications and provide an attractive alternative to conventional databases due to their high security and availability with a low cost. High data availability is achieved by replicating data in different servers in order to reduce access time lag, network bandwidth consumption and system unreliability. In this context, one major challenge is data consistency. In one hand, strong consistency guarantees data freshness but affects directly the performance and availability of the system. In the other hand, weaker consistency enhances availability and performance but increases data staleness. Therefore, an adaptive consistency strategy is needed to tune, during runtime, the consistency level depending on the criticality of the requests or data items. Although there is a rich literature on adaptive consistency approaches in cloud storage, there is a need to classify as well as regroup the approaches based on their strategies. This paper will establish a set of comparative criteria and then make a comparative analysis of existing adaptive consistency approaches. A survey of this kind gives an insight to the user/researcher about not only a comparative analysis of performance of approaches but also suggests suitability of these approaches for candidate cloud systems
Aerodynamic Optimization of a Morphing Winglet Design
(University of Eloued جامعة الوادي, 2018-12-10) ABES, Bachir; IMINE, Bachir
In the present study, a CFD is used to investigate the flow around an isolated wing equipped by a morphing winglet. In order to obtain initial estimates of lift and drag coefficients with flow velocity of 20 meters per second a various angles of attack, several cases of winglets were tested according to different dihedral angles. The model of k-ω SST turbulence is used for the investigation of the complex flow around the morphing winglet. The present results shown a good agreement with the literature data.
Amélioration des Performances d’une Chaine de Conversion d'Énergie Éolienne par la Technique MPPT
(University of Eloued جامعة الوادي, 2018-12-10) Zeghdi, Z.; Barazane, L.; Miloudi, K.; Abdelmalek, S.; Chemsa, A.; Larabi, A.
L’objectif de ce travail consiste en premier lieu en l’association de la commande sans asservissement de la vitesse mécanique du processus global à celle du générateur MPPT, puis en l’analyse du comportement de la turbine éolienne associée et cela en utilisant une génératrice asynchrone à double alimentation (GADA). Aussi et dans ce contexte, les auteurs présenterons tout d’abord les notions élémentaires du fonctionnement d'un système éolien associé aux équations qui s'y rapportent. Par la suite, les modèles des différents éléments constituants la chaîne de conversion mécanique de l’éolienne, ainsi que les différentes lois de commande adoptées lesquelles seront susceptibles d’assurer un fonctionnement optimal de l’éolienne seront établit. Il est à noter que ces lois de commande seront choisies de sorte à maximiser en permanence la puissance produite en recherchant le point de fonctionnement à puissance maximale communément appelé : MPPT.
Amélioration des performances de la commande direct du couple pour les machines à induction avec une fréquence de commutation constante et une réduction des ondulations du couple
(University of Eloued جامعة الوادي, 2018-12-10) Khadar, Saad; Kouzou, Abdellah
Commande directe du couple (DTC) est une méthode de contrôle avancée et simple dans des systèmes d'entraînement à courant alternatif (AC) pour obtenir la commande de couple de haute performance. Le DTC classique utilise un contrôleur de bande d'hystérésis dont l'action de commande n'a pas de différence entre une erreur de couple importante et une erreur de couple faible. Ceci a comme conséquence l'ondulation élevée de couple et la fréquence variable de commutation. Cet article propose deux techniques pour améliorer les performances du DTC conventionnel en utilisant la MLI vectorielle et la technique du réseau neuronal artificiel (RNA) pour minimiser l'erreur de couple et pour obtenir une fréquence de commutation constante et meilleure performance du moteur. Les techniques proposées peuvent réduire considérablement l’ondulation du couple et d’améliorer la réponse dynamique en comparaison avec DTC classique. La validité des techniques proposées est confirmée par les résultats de simulation.
An Analysis study of consumer attitudes towards alternative transport fuels in Algeria
(جامعة الوادي, 2019-02-24) Mohammed BOUGUELAA
This paper tends to highlight some Demand-side solutions in transportation to reach a secure and sustainable energy future. To achieve the purpose of the study, we started with a literature review about consumer behavior and alternative fuels in used in Algeria then we presented the results of a survey providing insight into consumer attitudes and behaviours associated with alternative transport fuels un Algeria. The key findings are: * Most of consumers do care about the type of transport fuel they use, when it comes to the economical aspect. * Most of respondents say they are not willing to shift for alternative transport fuels with lifetime greenhouse gas though their benefits over fossil fuels. * Consumers are generally aware of alternative transport fuels, but they lack the practical understanding required to enable them to modify their behaviours and decisions concerning the environmental dimension. These findings reveal the need for policies that motivate the uptake of alternative transport fuels in Algeria.
Analyse et Modélisation des défauts d'une MAS dans sa partie statorique commandé par DTC
(University of Eloued جامعة الوادي, 2018-12-10) Khadar, Saad; Kouzou, Abdellah
Dans ce travail proposé la technique de la commande direct du couple (DTC) d’une machine asynchrone (MAS) en présence d’un défaut du stator alimentée par un onduleur NPC à trois niveaux avec une régulateur de la logique floue (RLF). Pour cela, en premier lieu, nous présentons une nouvelle méthode pour la modélisation triphasé de la MAS en présence d’un défaut de court-circuit entre spires d’une phase statorique, cette nouvelle méthode est basée sur la théorie du couplage électromagnétique des circuits électriques. Ensuite, étude d'une structure d'onduleur NPC à trois niveaux, l'onduleur multi-niveaux sont une plus faible tension de sortie, moins de distorsion harmonique dans les formes d'onde de courant et des fréq-uences de commutation plus faibles. En second lieu, une structure de la DTC avec une RLF, cette technique de commande est capable de fournir une bonne dynamique du couple électromagnétique avec une robustesse intéressante vis-à-vis des perturbations extérieures et de la variation paramétrique. Enfin, la technique proposé dans ce travail est vérifié par simulation numérique. Les résultats démontrent que le contrôle proposé a présenté de bonnes performa-nces de la MAS en fonctionnement sain et avec défaut est présenté
Application of Hamilton equations to Dynamic Systems
(University of Eloued جامعة الوادي, 2018-12-10) Soumia AYACH HAMRAOUI, 2nd Kamel KHOUNFAIS, 3rd Noureddine MENECEUR
In this presentation, instead of the Lagrangian formulation of the dynamics, we will apply the Hamiltonian formulation to be able to model and control system swidely used in applications in robotics. In the first part, we will see that using a Legendre transformation, we can associate with Lagrange's equations, which second-order equations, a system of first-order differential equations called canonical equations of Hamilton. To validate Hamilton's efficiency of formalization, the case of a manipulator with flexible joints was treated.
Apport de l’intelligence artificielle combinée avec les systèmes d'information géographique pour l’identification des Ghouts menacés de disparition
(University of Eloued, 2023-12-11)
Le développement économique remarquable qui a connu la vallée du Souf, au Sud-est de l'Algérie, suite à l’activité agricole intense, avec une croissance démographique significative accompagnée par une extension du tissu urbain, touts ces facteurs ont entraîné une augmentation de la demande d'eau souterraine, qui est la principale source à des fins domestiques, agricoles et industrielles, dans une région aride. La mauvaise gestion de cette importante ressource d’eau a entraîné des perturbations dans l'écosystème local, y compris les Ghouts, qui caractérisent la région du Souf, et en raison de son importance historique, économique et environnementale elle a été classée par l'Organisation des Nations Unies pour l'Alimentation et l'Agriculture (FAO) comme patrimoine agricole mondial. Ce système agricole durable et non irrigué, totalement dépendant de la nappe phréatique, est confronté à de nombreux problèmes qui le menace de disparition (submersion, rabattement de la nappe, conditions climatiques extrêmes, etc.). Cette étude vise à identifier les Ghouts menacés par la dégradation, dans la vallée du Souf, en utilisant l’intelligence artificielle (apprentissage profond par réseaux de neurones) et les images satellitaires, sur plusieurs séries temporelles. Ainsi, dans l’identification des futurs Ghouts menacés de disparition dans un futur proche. Les résultats montrent que les Ghouts de la région Sud-est de la vallée risquent de disparaitre d’ici dix ans, ce qui fait un pourcentage de 23% de la totalité des Ghouts de la région d’étude seront perdus.
Apport de la collocation par points dans l'homogénéisation micromécanique
(Universty of El-oued جامعة الوادي, 2019-02-24) Samir CHOUARFIA; Lakhdar SEDIRA; Kamel MEFTAH; Wahid KADDOURI; Toufik KANIT
Dans le cadre de la caractérisation micromécanique par la technique des éléments multi-phases, un élément fini à quatre nœuds FRQ4 (Fiber Rotation Quadrilatiral) a été développé. La technique consiste à superposer un maillage éléments finis sur l'image de la microstructure étudiée où l'attribution des propriétés mécaniques de chaque phase se fait sur les points d’intégration des éléments. Le fait que la variation de ces propriétés élastiques (module de Young et le coefficient de Poisson) n'est plus constante, les termes de la matrice de rigidité auraient dû être d'ordre encore élevé. Le recours dans le présent travail à des points d'intégration de plus dans la formule de quadrature de Gauss constitue une collocation par points atténuée. L'approche a été testée vis à vis un élément Q4 standard, l'élément biquadratique Q8 et l’élément avec rotation autour de la normale FRQ4. Les tests d'homogénéisation micromécanique sont réalisés sur un matériau composite Polypropylène/Chanvre à renfort aléatoire. Les résultats obtenus sont confrontés avec ceux obtenus par l'approche analytique de champs moyens (MF) : Mori-Tanaka. Les tests de validation ont montré un accord exact avec ceux de deux matériaux constitutifs et un bon accord avec les valeurs de référence.
Artificial Intelligence (AI) and its Applications in Engineering
(University of Eloued, 2023-12-11) Nesrat Hocine Sadam; Dalilan Sadane; Omar Ben Mya
The intervention addresses the role of artificial intelligence in improving air pollution predictions in urban neighborhoods. The theoretical framework of artificial intelligence techniques and their potential applications in enhancing air quality predictions at the neighborhood level is analyzed. Research on the application of machine learning methods to improve air pollution predictions in urban neighborhoods is reviewed. The focus is on the analysis of the theoretical models used in air emission predictions and the evaluation of models used in air quality predictions at the urban neighborhood level. Anticipated outcomes from the application of artificial intelligence without practical implementation are identified, along with an analysis of previous relevant studies on air pollution predictions in urban neighborhoods. The conclusion emphasizes the importance of the theoretical study in improving air pollution forecasts in urban neighborhoods

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