Publications Scientifiques
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Item Study of the influence of cutting parameters on tool wear and the state of the machined surface(SAGE, 2024) Bloul, Benattia; Chanal, Hélène; Meziane, MerzoukThis work presents a study of wear on the clearance face of turning tools. This study will contribute to the development of improved machining precision and efficiency while extending tool life and also ensuring the surface quality produced, despite wear and edge deposition phenomena. A tool flank wear model is developed as a function of the cutting conditions, including the cutting speed, depth of cut, feed rate, and machining time. Factors influencing tool clearance face wear are determined through experimental testing. We also investigate the edge phenomenon reported on the tool cutting face by plotting a curve of the edge variation versus the machining time. Tool wear and built-up edge phenomena both affect the quality of the surface finish produced. Additionally, the edge phenomenon degrades the geometric quality of the tool and generates wear on the tool clearance face. Therefore, models are developed to aid in selection of appropriate cutting conditions that ensure the expected surface finish is realized while also providing control over tool wear. Overall, this method combines experimental and theoretical approaches to study and control turning tool wear with the aim of improving both machining quality and efficiency.Item Elaboration of a new Activated Carbon derived from the Crown of Oak (ACOW) to removal the toxic Iodine: Kinetic, Isotherms modelling and Thermodynamics Study(Taylor & Francis, 2024) Aksil, Tounsia; Abbas, Moussa; Trari, MohamedThe current study aims to develop a new adsorbent material using oak crown and explore its effectiveness in removing I2 ions through a series of batch experiments. ACOW was characterised by zero charge (pHpzc) and FTIR spectroscopy. The impact of the initial I2 concentration (20-100 mg/L), temperature (25-55 °C), pH (2-14), adsorbent dosage (2-10 g/L), Stirring speed (100-900 rpm), particle size (100-2000μm) and contact time (0-30 min) on I2 adsorption was examined. The adsorption kinetic obeys the pseudo-second order model with a determination coefficient (R2) equal to 0.999. Adsorption follows the Langmuir equation well, with the best fit to the experimental data at equilibrium. A qmax value (= 103.606 mg/g) at 25°C and 120.773 mg/g at 55°C were eliminated under the optimised conditions, indicating homogeneous adsorption on the surface of the adsorbent. The thermodynamic parameters gave a negative free energy ΔGo (-3.445 to -5.629 kJ/mol), a positive enthalpy ΔHo (18.406 kJ/mol) and an activation energy Ea (= 22.599 kJ/mol), thus confirming the spontaneous and endothermic nature of adsorption of iodine on ACOW. The positive entropy ΔSo (0.0733 kJ/mol K) show increased randomness of the solid-liquid interface during the adsorption.Item Formal Modelling and Implementation of Clark-Wilson Security Policy with FoCaLiZe(Institute of Electrical and Electronics Engineers, 2024) Haloua, Fatima; Messaoud, Abbas; Djerbi, Rachid; Bouhamed, Mohammed MounirThe security of every system hinges on a robust policy that orchestrates controls to safeguard the confidentiality, integrity, and accessibility of information. Implementing such a policy requires meticulous formulation grounded in mathematical and logical precision. In this context, we present a formal modeling and implementation of the Clark-Wilson security method using the FoCaLiZe environment, a workshop equipped with certification capabilities, where programming is intertwined with formal proof. The proposed approach enables the specification of the Clark-Wilson policy constraints and security principles as properties and theorems within FoCaLiZe. Thanks to Zenon, the automatic theorem prover of FoCaLiZe, derived properties and theorems that ensure system safety can be checked and proven.Item Simulated surface electromyographic (semg) signal generation and detection model(Sciendo, 2023) Messaoudi, Noureddine; Belkacem, Samia; Bekka, Rais El’hadiFor didactic purposes, the aim of this work was to improve a simulation model of surface electromyographic (sEMG) signal by taking into consideration the shortcomings of previously developed models. This model started with the simulation of the single fibre action potential (SFAP), then the model of the single motor unit action potential (MUAP), afterwards the imitation of the train of MUAP and finally the modellig of the resultant sEMG signal which is the sum of the MUAPs trains. SFAP simulation was based on: i) the description of the volume conductor model which is composed of four layers (bone, muscle, fat and skin), ii) the description of the electrodes shapes and sizes as well as spatial filters, iii) and the transmebrane current. The proposed model shows its effectiveness in the possibility of carrying out practical work by simulation on the modelling of SFAP, MUAP, MUAPT and the sEMG signal. The most important result of this model is that signal processing tools can be applied to analyze and interpret real-world phenomena such as the effects of physiological , non physiological and sensing system parameters on the shape of the simulated sEMG signal.Item Active power filter impact on power quality improvement for industrual plant supplied by photovoltaique station(2023) Bourourou, F.; Tadjer, S. A; Habi, I.This work deals on industrial electrical power quality improvement using an active power filter (APF) based on fuzzy logic controller. The studied system is a PV conversion chain used to supply linear and non-linear industrial loads of 200 kw plant. The PV station is modeled then simulated under Matlab Simulink, with standard conditions consideration in the first time then under real irradiation and sun power variation during the day hours, to obtain the true parameters design of the PV station to be able to give the needed power during the climatic conditions changing. APF parameters design and control loop structure are well studied to have an optimal control. MPPT technique is used in PV station control with the P&O algorithm. Also PV panel fault diagnosis has been done by using alarm for fault indicator and protection over under power. Simulation results are analyzed and discussed comparison with real signals, produced by the FLUK 6001B reference source with the use of the PRS 600 and the Teledyne 3,5 GHz-40Gs/s oscilloscope as measurement instrument, to improve the effectiveness of APF on electrical power quality, THD, amelioration and harmonic minimization in the industrial installationItem Nutraceuticals compounds extraction optimization from open air and swell-dried banana peel powders(North University of Baia Mare, 2022) Nouioua, Abir; Benseddik, Abdelouahab; Besombes, Colette; Allaf, Karim; Benmounah, Abdelbaki; Djilali, Adiba BenahmedThe aim of this study was to optimize the operating conditions of two drying processes on banana peels: open air and Instant Controlled Pressure Drop technique (DIC) assisted Swell-Drying at 40°C in order to obtain high quality final powders. The optimization of three extraction conditions including extraction temperature (40-100°C), extraction time (10 – 60 min) and particle size (60 – 363 μm) from open air banana peel powder was investigated). Additionally, three DIC texturing conditions were improved. DIC involves maintaining banana peels at a high temperature for 20 to 220s, high steam pressure (p=0.3 to 0.6 MPa) and varying the Number of cycles from 1 to 7. Modelling of some nutraceutical compounds (Total Flavonoids Content and carotenoids) from open air and Swell-Dried banana peels powders by applying experiments design using Response Surface Methodology and Desirability Function. The antioxidant activity was also investigated by the determination of the % of DPPH inhibition. The optimal conditions derived from the multi-Responses-Desirability Function were as follows: 60.47°C; 10min; and particle size Φ= 348.648 μm yielding a TFC=5.13 (mg QE/g d.b), TCC=0.48 (mg /g d.b) and % of DPPH inhibition=73.05%, with an optimal desirability coefficient d=0.7 (open air process). The following optimized DIC operating parameters with maximum desirability coefficient d=1, t=24.46s P=0.59MPa and number of cycles N=6.38 yielding a TFC=4.07 (mg QE/g d.b), a TCC= 1.37 (mg /g d.b) and a % of DPPH inhibition=75.97 %. Banana peel could be a good source of bioactive substances, which could be further used as a natural antioxidantItem Robust Fault Diagnosis of SCARA Industrial Robot Manipulator(2018) Lounici, Yacine; Touati, Youcef; Adjerid, SmailNowadays, robotic systems are being in increasingly demanding in many industrial activities. In order to achieve the maximal performance, complex nonlinear dynamic robotic systems were developed. However, as a consequence, the rate of component malfunctions augments with the complexity of systems. These malfunctions are called faults, which may appear in different parts of the system and can induce changes in the dynamic behaviour. This paper deals with fault diagnosis of a particular kind of industrial robots called selective compliance assembly robot arm (SCARA), where both parameter and measurement uncertainties are taken into account. Residuals and thresholds are generated using the quantitative model-based method. The inverse geometric model is used to find analytical solutions for joints angles and distances given the trajectory of the end effector. The presented geometric model is then used to derive the kinematic model. Using this kinematic model, the robot controller computes the necessary torque applied to each DC servomotor in order to move the robot from the current position to the next desired position. The proposed robust fault diagnosis scheme is then implemented for a SCARA manipulator and simulation results are presented in both normal and faulty situations.Item Mobile robot energy modelling integrated into ros and gazebo-based simulation environment(2021) Touzout, Walid; Benazzouz, Djamel; Benmoussa, YahiaMobile robots' autonomy is limited by the capacity of their batteries; thus, their energy consumption estimation and management are important issues to deal with energy minimization techniques, such as path planning, tasks scheduling etc. These techniques need to be tested, evaluated, and approved for different scenarios; however, this cannot be feasible in case of huge scenarios and may require much hardware setup. In this paper, we introduce a numerical solution by enriching the Robot Operating System (ROS) infrastructure with modelling, monitoring, and energy management tools by integrating an energy consumption model of a differential drive mobile robot into ROS/Gazebo-based simulator. The obtained results involve realtime power consumption of the virtual robot for predefined scenarios, and the total energy consumption is monitored numerically at the end of each scenario without any hardware requirement.Item Adsorption kinetics modelling of methylene blue solution by activated carbon using Peleg’s equation(Université M'hamed Bougara de Boumerdès, 2020) Bourfis, Nassima; Benaissa, F.; Benamara, S.; Gougam, H.; Louhab, K.The aim of this study is to envisage the possibility of modelling the adsorption kinetics of methylene blue (MB) by activated carbon using the Peleg’s model. Equation often used to describe the sorption and absorption kinetics of water by the material. The study of equilibrium adsorption was also envisaged in this study and the isotherms of Langmuir and Freundlich were tested. The activated carbon was prepared from almond shells bitter, fruit of plants growing in parts of Algeria, especially in the Setif region. Statistical analyses, have proved that the adsorption kinetics of MB by activated carbon is perfectly (R² = 0.9999) described by the Peleg model. On another hand, the study showed that, compared to the Langmuir model, Freundlich model is most appropriate to describe the equilibrium adsorptionItem Differential Drive Mobile Robot Energy Model Integration into ROS–Based Simulation Environment(2019) Touzout, Walid; Benazzouz, Djamel; Ouelmokhtar, Hand; Benmoussa, YahiaNowadays, mobile robots are used in different applications however they are constrained by the limitation of their batteries making reducing energy consumption a significant challenge for mobile robots’ community. Thus, energy consumption modelling is therefore becoming an important approach to reducing energy cost. However, power reduction techniques evaluation and approbation may require much hardware configuration and can be time consuming especially in case of huge scenarios. We present in this paper a methodology used to enrich the Robot Operating System (ROS) infrastructure with modelling, monitoring, and energy management tools by integrating an energy consumption model of a differential drive mobile robot into ROS and Gazebo-based simulator. The simulation results illustrate the instantaneous power consumption of the robot for three different scenarios. Thereafter, the total energy consumption can be monitored without any hardware requirement at the end of each scenario