Mohamed Kchaou

@ub.edu.sa

College of Eng., University of Bisha, Saudi Arabia
University of Bisha



              

https://researchid.co/medkchaou

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Energy, Materials Science, Environmental Engineering

89

Scopus Publications

Scopus Publications

  • Effect of Addition of CNT<inf>x</inf>GnP<inf>y</inf>hBN<inf>z</inf> Ternary Hybrid Nanofillers on Mechanical Performance of Al Nanocomposites: A Comparative Study
    Arka Ghosh, Syed Nasimul Alam, Nityananda Sahoo, Recai Kus, Mohamed Kchaou, Pankaj Shrivastava, Bappa Das, Uttam Kumar Kar, and Sourav Ganguly
    Springer Science and Business Media LLC

  • Artificial Intelligence and Machine Learning in Tribology: Selected Case Studies and Overall Potential
    Raj Shah, Rudy Jaramillo, Garvin Thomas, Thohid Rayhan, Nayem Hossain, Mohamed Kchaou, Francisco J. Profito, and Andreas Rosenkranz
    Wiley
    Artificial intelligence (AI) and machine learning (ML) have been the subjects of increased interest in recent years due to their benefits across several fields. One sector that can benefit from these tools is the tribology industry, with an emphasis on friction and wear prediction. This industry hopes to train and utilize AI algorithms to classify equipment life status and forecast component failure, mainly using supervised and unsupervised learning approaches. This article examines some of the methods that have been used to accomplish this, such as condition monitoring for predictions in material selection, lubrication performance, and lubricant formulation. Furthermore, AI and ML can support the determination of tribological characteristics of engineering systems, allowing for a better fundamental understanding of friction, wear, and lubrication mechanisms. Moreover, the study also finds that the continued use of AI and ML requires access to findable, accessible, interoperable, and reusable data to ensure the integrity of the prediction tools. The advances of AI and ML methods in tribology show considerable promise, providing more accurate and extensible predictions than traditional approaches.

  • Strategic Implementation of Multimaterial Additive Manufacturing: Bridging Research and Real-World Applications
    Jigar Patadiya, Balasubramanian Kandasubramanian, Sreenivasan Sreeram, Priyanka Deelip Patil, Rihan Mujawar, Amol Indalkar, Mohamed Kchaou, and Faisal Khaled Aldawood
    American Chemical Society (ACS)

  • Reducing the Pitting Corrosion on an Evaporator Tube using the Quantum-Transported Life-Stress Model and Sample Size
    Seongwoo Woo, Mohamed Kchaou, Dennis L. O’Neal, and Gezae Mebrahtu
    Springer Science and Business Media LLC

  • Fatigue behaviour of PVC foam core sandwich with GFRP faces: Simulation and experimental analysis
    F. Alila, J. Fajoui, P. Casari, F. Jacquemin, and M. Kchaou
    SAGE Publications
    A multi-layer structure by sandwiching rigid cellular PVC (polyvinyl chloride) foam between two GFRP (glass-fibre reinforced plastic) faces is studied in order to investigate the sample edge effects on fatigue life of the sandwich structure. Therefore, a new geometry of specimen is developed based on numerical simulation approach. Compared to the results given by the ASTM C393 standard, the experimental study was confirmed that edge effects are leading to early failures as the shear stresses concentration was shifted from the new geometry. An optimal prediction of fatigue life of foam-based sandwich has been established during bending fatigue test. The different failure modes were followed by microstructural analyses to better explain the global behaviour of the structure.

  • A Review of Sugarcane Biorefinery: From Waste to Value-Added Products
    Sukunya Areeya, Elizabeth Jayex Panakkal, Punyanuch Kunmanee, Atthasit Tawai, Suksun Amornraksa, Malinee Sriariyanun, Apinya Kaoloun, Nina Hartini, Yu-Shen Cheng, Mohamed Kchaou,et al.
    King Mongkut's University of Technology North Bangkok
    The sugarcane industry is one of the agricultural sectors for the production of commodity products that can generate sugars along with byproducts such as straw, bagasse, and molasses. When subjected to effective processing, these byproducts of sugarcane cease to be categorized as waste, as they can be converted into resources rich in carbon for use in biorefineries. Numerous conversion technologies consisting of thermochemical, biochemical, and chemical processes of biorefinery are also applied to produce high-value products, either from 1st Generation (molasses feedstock) or through integrated 1st Generation and 2nd Generation configurations (molasses and sugarcane lignocellulose feedstock). This review focuses on recent progress in techniques for maximizing the value of sugarcane, encompassing aspects, such as sugarcane processing, pretreatment methods, and the fermentation of sugar derivatives to six value-added products, namely ethanol, xylitol, butanol, polyhydroxyalkanoates, biogas, and nanocellulose. Furthermore, this review encompasses an examination of the economic and environmental repercussions associated with sugarcane biorefinery. It also explores advancements using cutting-edge technology to address obstacles in industrial production.

  • Evaluation of mechanical properties and Fick's diffusion behaviour of aluminum-DMEM reinforced with hemp/bamboo/basalt woven fiber metal laminates (WFML) under different stacking sequences
    R.G. Padmanabhan, S. Rajesh, S. Karthikeyan, Sivasubramanian Palanisamy, R.A. Ilyas, Nadir Ayrilmis, ElSayed M. Tag-eldin, and Mohamed Kchaou
    Elsevier BV

  • A Novel Hybrid Fuzzy Multiple-Criteria Decision-Making Model for the Selection of the Most Suitable Land Reclamation Variant at Open-Pit Coal Mines
    Bojan Dimitrijević, Tomislav Šubaranović, Željko Stević, Mohamed Kchaou, Faris Alqurashi, and Marko Subotić
    MDPI AG
    The expansion of the open-pit exploitation of mineral raw materials, and especially the energy resources of fossil fuels, makes open-pit coal mines spatially dominant objects of large mining basins. Exploitation activities are accompanied by negative ecological impacts on the environment, which requires the integral planning, revitalization, reclamation, and rehabilitation of the disturbed area for human use in the post-exploitation period. The post-exploitation remediation and rehabilitation of open-pit mining areas and disposal sites, i.e., space disturbed by mining activities and accompanying facilities, are complex synthetic multidisciplinary multiphase engineering project tasks. In this paper, a hybrid fuzzy MCDM model (Multiple-Criteria Decision-Making) was developed for the selection of a reclamation solution for the Tamnava-West Field open-pit mine. IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) was applied to define the weights of 12 criteria of different structures used in the evaluation of reclamation solutions. The Fuzzy ROV (Range of Value) method was applied to select the reclamation solution from a total of 11 solutions previously obtained using a process approach. The results of the hybrid IMF SWARA—Fuzzy ROV model show that forestry is the best solution for the Tamnava-West Field open-pit mine. After the results had been obtained, verification analyses of the proposed model were performed and the best stable proposed reclamation solution was determined.

  • Properties and applications of green-derived products from spent coffee grounds – Steps towards sustainability
    Richard Q. Mensah, Prapakorn Tantayotai, Kittipong Rattanaporn, Santi Chuetor, Suchata Kirdponpattara, Mohamed Kchaou, Pau-Loke Show, Solange I. Mussatto, and Malinee Sriariyanun
    Elsevier BV

  • Effect of process parameters on the mechanical performance of FDM printed carbon fiber reinforced PETG
    Kautilya S. Patel, Dhaval B. Shah, Shashikant J. Joshi, Faisal Khaled Aldawood, and Mohamed Kchaou
    Elsevier BV

  • A data-driven approach for studying tribology based on experimentation and artificial intelligence coupling tools
    Mohamed Kchaou
    Research and Development Academy
    Tribology problems generally, and particularly high-temperature tribology (HTT), is a critical and complex topic based on the interaction between several intrinsic and extrinsic parameters. This involved complex phenomena, resulting in synergistic effects between mechanical, physical, chemical, and thermal solicitations. Introducing artificial intelligence tools, coupled with the design of the experiment, is an original approach to implement a successful transition from traditional "experimental guidance" to "experimental guidance associated with a data-driven" approach. The current study delves into the utilization of machine learning (ML) with simulation to help in the choice of the parameters for experimentation, and the development of predictive models. A detailed framework that takes into account the coupling between such tools is presented. Different scenarios are discussed to data drive the collaborative schema between the design of experiment, numerical development, and ML algorithms. This approach gives several opportunities such as the identification of the well-impacted parameters, optimization of the experimental design, and the proposition of predictive models. With the suitable proposed model, time loss, production costs, precision results, and man-hours could be saved or improved.

  • Linear stability analysis of nanofluid flow over static or moving wedge using the collocation spectral method
    Abdelghani Laouer, Faris Alqurashi, Mohamed Teggar, Khaled Al-Farhany, Sameh E. Ahmed, Ammar Abdulkadhim, and Mohamed Kchaou
    Elsevier BV

  • Scope of Biological Property Activated Plant Extracted Nanoparticles for Human Immune Response-A Review
    Nayem Hossain, Mohammad Asaduzzaman Chowdhury, Mohamed Kchaou, Sadia Sultana, Abu Yousouf Siddiky, Md Hosne Mobarak, and Mohammed M. Rahman
    World Scientific Pub Co Pte Ltd
    Due to their small size, nanoparticles have brought a new era for researchers. They are utilized in different areas, including the food industry, pharmaceuticals, and medicals, for their outstanding properties. Many medicines are also used to treat patients with various diseases. Many researchers are continuing their research to find more applications of these materials. This paper reviews how nanoparticles synthesized from plants can help the immune response. Different nanoparticles have been initially studied with their source of origin, properties, and applications in the immune response. Then, how various nanoparticles work on the immune response has been briefly discussed. Different applications of nanoparticles on immune response with different perceptions have also been considered. The results of the applications of these particles have been debated as well. In the end, these particles’ potential challenges and future opportunities for immune response have been reviewed. This review paper will work as a guide for nanoparticle researchers in immunity.

  • Solar Water Heating Systems: A Review on Contemporary Design and Emergent Technology using PCM for Increased Performance
    Mohamed Kchaou
    Engineering, Technology & Applied Science Research
    This study highlighted the specificity of solar water heating systems, investigating their financial benefits and discussing their economic advantages. Several studies have shown that solar water heaters' effective performance and the best cost savings were obtained during the hot seasons. New developments in solar water heaters have been discussed in detail. According to numerous researches, the highest quality performance of solar water heaters and the best cost savings were achieved when the system was integrated with innovative components such as Phase Change Materials (PCMs), heat pipes, and turbulators. Emergent technologies using PCMs have shown excellent results, increasing solar thermal efficiency. This technology presents great potential not only for domestic applications but also on an industrial scale.

  • Wear Mechanisms Analysis and Friction Behavior of Anodic Aluminum Oxide Film 5083 under Cyclic Loading
    Mohamed Abid, Mohamed Kchaou, Anh Tuan Hoang, and Mohamed Haboussi
    Springer Science and Business Media LLC

  • Friction Durability of Anodized Aluminum Alloy 2017A under Dry Conditions
    Mohamed Abid, Hamdi Ben Abdelali, Mohamed Kchaou, Emin Bayraktar, and Mohamed Haboussi
    Springer Science and Business Media LLC



  • New Framework for studying High Temperature Tribology (HTT) Using a Coupling Between Experimental Design and Machine Learning
    Mohamed Kchaou
    Tribologia - Finnish Journal of Tribology
    High temperature tribology (HTT) is considered to start at a minimum temperature of 300°C, where organic base oils and polymers begin to decompose, up to a temperature of 1200°C. In this area of application, a tribological test is typically performed under dry or solid friction, unless a solid lubricant is used, as most lubricants oxidize or decompose when exposed to these extreme temperatures. This is the case of hot forming tribology. Therefore, specific tribometers have been developed to study the tribological behavior, wear modes, friction-wear mechanisms, and other tribological aspects in the case of contact workpiece-forming tools. However, as the interdisciplinary character of tribology represents great opportunities, but also a huge challenge to well study the tribological behaviour of materials and systems, particularly at hot temperature, results are well impacted by the proposed hypothesis, the limited number of parameters to study, the dynamic behaviors of solicitations, etc. A new approach to overcoming its limitations remains a necessity in modern research. After giving general definitions of the notions of tribological system and tribometer, an assessment of the different configurations of these test benches is established. The presentation of the tribometers is organized according to the configuration adopted. The study is based on the identification of the “originality” of the benches and the limitations of the approaches used in the study of hot temperature sliding contact. The framework of the coupling between experimentation and machine learning is presented. Different scenarios are discussed in order to develop new approaches/methods of collaboration between the design of experiment, numerical development, and ML algorithms.

  • Thermal analysis of generalized Cattaneo-Christov theories in Burgers nanofluid in the presence of thermo-diffusion effects and variable thermal conductivity
    Mowffaq Oreijah, Sami Ullah Khan, Muhammad Ijaz Khan, Sarah A. Alsalhi, Faris Alqurashi, and Mohamed Kchaou
    Walter de Gruyter GmbH
    Abstract The aim of this study is to investigate the heat and mass transfer characteristics of Burgers nanofluid in the presence of thermo-diffusion effects. The analysis considers higher-order slip effects to study the transport phenomena. Additionally, the study examines the impact of thermal radiation and chemical reactions on the flow. Variable thermal conductivity assumptions are made for heat transfer analysis. The Cattaneo–Christov model, an extension of Fourier heat and mass theories, is employed for the analysis. Heat transfer evaluation is conducted using convective thermal constraints, and numerical computations are carried out using the Runge–Kutta method. The study visually represents the impact of flow parameters through graphical analysis. It is suggested that heat transfer can be significantly improved through the interaction of slip effects, and the concentration phenomenon is enhanced by the Soret number.

  • Development of wind turbines for urban environment using innovative design thinking methodology
    Claudia V. Campos Rubio, Mohamed Kchaou, Paulo Eustáquio de Faria, Juan C. Campos Rubio, and Faris Alqurashi
    Elsevier BV

  • Effect of Trenched Hemispherical Pin Fins on Cooling Performance of Heat Sink
    Aissa Yousfi, Lahcene Bellahcene, Faris Alqurashi, Djamel Sahel, Mohamed Teggar, Abdelghani Laouer, Müslüm Arıcı, and Mohamed Kchaou
    Wydawnictwo Naukowe Gabriel Borowski (WNGB)
    Pin fins have the potential to improve the thermal performance of various engineering devices. Modified pin fins could further increase their thermal performance in a passive way at lower cost. This study is aimed at numerically investigating the thermal performance of trenched hemispherical pin fins heat sink (THPFHS) and the influence of parameters including the trench number (N = 1, 3 and 5) and thickness (e = 1 to 5 mm). The simulations were performed using a computational fluid dynamics (CFD) software considering turbulent air flow conditions. Results showed that the use of aluminum fins fitted with one trench in the middle of the hemispherical pin fin considerably increased the local heat transfer. Furthermore, all studied configurations show high thermal performance factor (HTPF) compared with the conventional cylindrical pin fins heat sink (CPFHS). For this new configuration (THPFHS), Nu increases by 45% while the thermal resistance reduces by 42%, compared to the baseline case. On the other hand, this improved performance results in 50% pressure drop penalty. Moreover, the obtained results showed a significant improvement in the performance mainly at high Re.

  • Inclined surface mixed convection flow of viscous fluid with porous medium and Soret effects
    Obulesu Mopuri, Charankumar Ganteda, Sarah A. Alsalhi, Sami Ullah Khan, Aruna Ganjikunta, Vediyappan Govindan, Faris Alqurashi, and Mohamed Kchaou
    Walter de Gruyter GmbH
    Abstract The combined heat and mass transfer phenomenon is a significant aspect of engineering and industrial processes. This phenomenon finds applications in various areas such as air conditioning, cooling and heating control of electronic devices, reactors, chemical systems, and emission processes. This research model focuses on the analysis of mixed convection flow of a viscous fluid with heat and mass transfer on an inclined surface with porous medium characteristics. The study also considers external heat transfer effects, radiation, Soret influence, and chemical reactions. A perturbation solution is derived in closed form, and the impact of various parameters on the thermal behavior is investigated. A comparative analysis of the heating and cooling regimes in plate flow is conducted, revealing a reduction in velocity in the heated plate regime with changes in the permeability parameter and an increase in concentration phase due to the Soret number.

  • Influence of variable fluid properties on mixed convective Darcy-Forchheimer flow relation over a surface with Soret and Dufour spectacle
    Shuguang Li, Muhammad Ijaz Khan, Shahid Ali, Sami Ullah Khan, Saja Abdulrahman Althobaiti, Ilyas Khan, Faris Alqurashi, and Mohamed Kchaou
    Walter de Gruyter GmbH
    Abstract The thermo-diffusion applications of nanofluid subject to variable thermal sources have been presented. The significance of Darcy–Forchheimer effects is attributed. The flow comprises the mixed convection and viscous dissipation effects. Furthermore, the variable influence of viscosity, thermal conductivity, and mass diffusivity is treated to analyze the flow. The analysis of problem is referred to convective mass and thermal constraints. The analytical simulations are proceeded with homotopy analysis method. The convergence region is highlighted. Novel physical contribution of parameters is visualized and treated graphically. It is noted that larger Brinkman number leads to improvement in heat transfer. The concentration pattern boosted due to Soret number. The wall shear force enhances with Hartmann number and variable thermal conductivity coefficient.

  • Friction Behavior of Anodic Oxide Layer Coating on 2017A T4 Aluminum Alloy under Severe Friction Solicitation: The Effect of Anodizing Parameters
    Mohamed Kchaou
    Engineering, Technology & Applied Science Research
    This article aims to highlight the wear mechanisms and friction behavior of the 2017A T4 anodized aluminum alloy used for automotive and aerospace applications. The effect of the processing parameters on the durability of the anodized layer under high friction is studied. Scratch tests were carried out to study the level of the friction coefficient with the increase in the thickness of the oxide layer formed on the Al 2017 A (AU4G) substrate. The results of the scratch tests show that the variation in the anodization duration, which influences the thickness of the oxide layer, induces an increase in the coefficient of friction. Besides, the variations in friction coefficient with sliding distance are influenced by the changes in wear morphology and degree of oxidation. Treated surfaces with a thickness of 50 μm have the lowest friction coefficients and wear rates. Their improved wear resistance may be related to the increased bond strength compared to other anodized surfaces. The tribological damage was characterized by the detachment of debris, which increases with the increase of the duration of anodization. Upon sliding, its detachment leads to delamination of the underlying anodic aluminum oxides and subsequent abrasion of the aluminum substrate.