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 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 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 scenarioItem Modeling and optimization of bacs extraction from algerian rosmarinus officinalis l. via green extraction(2020) Loucif Seiad, Linda; Demim, SorayaThe aim of this study is to improve extraction of biologically active compounds (BACs) found in Rosmarinus officinalis L. from Algeria country using green extraction process. The effect of the main process variables (time, ethanol concentration, solid-to-liquid ratio) on maceration efficiency has been studied using Factorial Design (FD) to verify the single factors effects. Total Polyphenol Content (TPC) and Total Flavonoids Content (TFC) were measured to control the maceration efficiency in different experimental conditions. The iso-response curves and the response contours have been exploited. The best experimental results were 0.15 g/mL, 50 %, 1hour and 0.15 g/mL, 50 %, 72hours for TPC and TFC respectively. The values of TPC and TFC were 2.5 mg GAE/g DW and 1 mg QE/g DW respectively. These results were in perfect agreement with the expected theoretical model. The relationship between the TPC and TFC provides a high correlation coefficient (0.82).Item Petrophysical Characterization of Lower Triassic Formation of Southern Hassi R’Mel and Permeability Prediction with Fuzzy Logic Analysis. Algeria(Faculty of Hydrocarbons and Chemistry, 2019) Baouche, RafikCharacterization of the shaly sand reservoirs by flow units is a practical way of reservoir zonation. This work represents a petrophysical-based method that uses well loggings and core plug data to delineate flow units within the most productive shaly sand reservoir of Triassic Formation in Hassi R’Mel field of Algeria. In the study of oil reservoirs, the prediction of absolute permeability is a fundamental key in reservoir descriptions and has a direct impact on, amongst others, effective completion designs, successful water injection programs and more efficient reservoir management. Usually simple linear regressions of core porosity and permeability data or empirical relationships using various log responses (e.g. porosity, clay volume and water saturation) have been used to predict permeability. These empirical methods only apply locally and ignore the fact that there is no theoretical basis for a relationship between porosity and permeability. The Triassic Formations of Hassi R’Mel fields are composed of sandstones and shaley sandy with dolomite. The general geologic framework obtained from the logs point out for discriminations within the formation. The plots correlating petrophysical parameters and the frequency histograms suggest the presence of distinctive reservoir trends. Triassic Formation is composed of sandy shales, dolomites and evaporates. Logs from the 8 wells are the starting point for the reservoir characterization. The permeability models are constructed and their reliabilities are compared by the regression coefficients for predictions in un-cored sections. This indicates the presence of several “hydraulic flow units” (HFU) of similar petrophysical characteristics. Analysis of core data from the Hassi R’Mel East (HRE) Field in Algeria indicates such a scenario. The predicted permeabilities for each unit show good correlations with the calculated ones from core plugs. Highly reliable future estimations can be based on the derived methods.Item Removal of Methylene Blue in Aqueous Solution by Economic Adsorbent Derived from Apricot Stone Activated Carbon(Springer link, 2020) Abbas, Moussa; Trari, MohamedQuantitative adsorption kinetic and equilibrium parameters for methylene blue (MB) used in the textile industry from aqueous solutions were reported in this study using pHPZC and UV-visible absorption spectroscopy. The effects of adsorbent dosage (1–10 g/l), agitation speed (100–1200 rpm), particule size (63 µm to 2 mm), initial dye concentration (4–15 mg/l), contact time, pH (2–14), and temperature (298–338 K) were determined to find the optimal conditions for adsorption. The FTIR spectroscopy is used to get information on interactions between the adsorbent and MB. The mechanism of adsorption of MB dyeing onto Apricot Stone Activated Carbon (ASAC) was investigated using the pseudo first-order, pseudo second-order kinetic, Elovich and intraparticles diffusion models. The adsorption isotherms of MB onto ASAC are determined and correlated with common isotherm equations. The smaller RMSE value obtained for the Langmuir model indicates the better curve-fitting and the monolayer adsorption capacity of MB is found to be 46.03 mg/g at 25 °C and 88.50 mg/g at 70 °C and pH 10. The evaluation of thermodynamics parameters such as the negative free energy ΔG° (+2.70025 to −1.76666 kJ/mol) and positive enthalpy change ΔH° (28.87613 kJ/mol) indicated a spontaneous and endothermic nature of the reaction with chemisorption process. This study in tiny batch gave rise to encouraging results, and we wish to achieve the adsorption tests in column mode under the real conditions applicable to the treatment of industrial effluents. The present investigation showed that ASAC is potentially a useful adsorbent for the heavy metals and dyesItem Modelling and simulation of solid particle sedimentation in an incompressible newtonian fluid(Springer, 2017) Zouaoui, Salah; Djebouri, Hassane; Bilek, Ali; Mohammedi, KamalItem 3D shape modelling of femur(IEEE, 2017) Cherifi, Dalila; Soual, Imene; Omari, Sabiha