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  • Fates of a Nonwetting Slug in Tapered Microcapillaries under Gravity and Zero Gravity Conditions: Dynamics, Asymptotic Equilibrium Analysis, and Computational Fluid Dynamics Verifications

    Amgad Salama; Jisheng Kou; El-Amin, Mohamed F.; External Collaboration; NA; NA; NA; NSMTU; NA; Amgad Salama (American Chemical Society, 2024-02-21)
    It has been determined experimentally and numerically that a nonwetting slug in a tapered capillary tube, under the sole action of capillary force, self-propels itself toward the wider end of the tube until an equilibrium state is reached. The aim of this work is to highlight the state of the slug at equilibrium in terms of configuration and location. Furthermore, it turns out that gravity adds richness to this phenomenon, and more fates become possible. A modified Bond number is developed that determines the relative importance of gravity and capillarity for this system. According to the magnitude of the Bond number, three more fates are possible. Therefore, in a tapered capillary tube held vertically upward with its wider end at the top, in the absence of gravity or under microgravity conditions, the nonwetting slug moves upward toward the wider end of the tube until it reaches equilibrium with the two menisci part of a single sphere. The location of the slug at equilibrium in this case represents the farthest fate among the other fates. When gravity exists yet capillarity dominates, the slug still moves upward toward the wider end. However, in this case, the two menisci become parts of two different spheres of different curvatures. For this scenario, the slug climbs upward but reaches a lower level compared to the previous scenario. On the other hand, when gravity dominates, the slug experiences a net downward pull toward the narrower end of the tube and starts to move in the direction of gravity until capillary force establishes a balance, then it stops. When gravity sufficiently dominates, it pulls the slug downward until it completely drains off the tube. A computational fluid dynamics (CFD) analysis is conducted in order to build a framework for verification exercises. Excellent agreements between the results of the developed model and the CFD analysis are obtained. A fate map and a scheme are developed to identify these four fates based on two Bond numbers; namely, the initial Bond number and that associated with the slug when it is at the exit.
  • Mapping the Research Landscape of Organizational Climate and Performance Using Bibliometric Analysis

    Sif Islem Amalou; Brahimi, Tayeb; External Collaboration; NA; NA; NA; NSMTU; NA; Sif Islem Amalou (2023-12)
    This study aims to address the limited understanding of rganizational climate and performance by conducting a omprehensive bibliometric analysis of scholarly publications. The methodology involves analyzing publications using bibliometric techniques and VOSviewer. The results indicate that organizational performance, employee engagement, job satisfaction, leadership, and leadership culture are prominent topics within the field. The top five countries in terms of published documents and citations are the USA, India, the UK, Australia, and Malaysia. Recent publications have prioritized topics such as quality of work life, innovation, productivity, well-being, organizational commitment, work engagement, and corporate social responsibility. This study provides valuable insights for researchers, practitioners, and organizations to improve employee performance and productivity. The significance of this work lies in its ability to inform future research directions and guide collaboration efforts. Ultimately, this study advances the understanding of organizational climate and performance with practical implications for various organizational settings.
  • Analytical solutions for harvesting atmospheric water using desiccant materials

    El-Amin, Mohamed F.; No Collaboration; NA; NA; NA; NSMTU; NA; Mohamed F. El-Amin (Springer, 2023-09-21)
    Atmospheric water generation using desiccant materials is a promising technology for producing clean drinking water in water-scarce regions. While experimental research on this topic has been extensive, modeling and simulation research are still in their nascent stages. The development of accurate models and simulations is crucial for predicting performance and refining system design. This paper presents analytical solutions for predicting and improving the behavior of water absorption and desorption by the calcium chloride (CaCl2) desiccant, which is commonly used in atmospheric water generation systems. The model considers several physical effects, such as mass transfer, and diffusion. The model considers a linear relationship between the collected water content and relative humidity. Based on this assumption the model has been solved analytically for different cases of boundary conditions including, Dirichlet boundary conditions and Dirichlet–Neumann boundary conditions. Several physical scenarios have been calculated and the results have been discussed.
  • Mapping the Research Landscape of Social and Cultural Impacts on Smart Cities

    Ibrahim, Asmaa; Brahimi, Tayeb; College collaboration; NA; NA; NA; NSMTU; NA; Asmaa Ibrahim (Springer Proceedings in Complexity, 2024-01-01)
    The integration of digital technology and innovation in the creation of smart cities has significantly improved the quality of life for citizens. However, while there have been extensive studies on the technological capabilities of smart cities, there is a notable gap in research concerning their cultural and social aspects. To address this concern, this study aims to comprehensively examine the social and cultural impacts of smart cities through bibliometric analysis. By analyzing 1160 published articles from the Scopus database, the study highlights the importance of prioritizing the creation of inclusive, safe, resilient, and sustainable cities, aligning with the United Nations Sustainable Development Goal 11. The study identifies China, the United States, Italy, India, and the United Kingdom as the top contributing countries, with the Norwegian University of Science and Technology being the most active institution in this area. Moreover, this research explores the intersection of social and cultural impacts within the broader context of Innovation 5.0 and Industry 5.0, providing valuable insights for future researchers and practitioners. Nevertheless, it is crucial to acknowledge certain limitations, such as the reliance on Scopus data, which may exclude relevant publications from other sources. Additionally, the analysis based on bibliometric data may not capture the full extent of social and cultural impacts associated with smart cities.
  • 10 - Other nanoparticles transport interactions

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    This chapter presents some the most special aspects of nanoparticles interactions, e.g., nanoparticle cotransport and/or interaction with nonaqueous phase liquids (NAPLs) and nanoparticles–polymers transport in porous media and nanoparticles associated with heat transfer. The concept of stability of nanoparticles suspensions is discussed in Section 10.2, while Section 10.3 presents the nanoparticles interaction with NAPL transport. After that Section 10.4 introduces the polymer transport under magnetic field in porous media with analytical solutions. The nanoparticles interactions with heat transfer are discussed in Section 10.5. Finally, the nanofluids in boundary layer flow are discussed in Section 10.6 and similarity solutions are introduced in both analytical and numerical modes.
  • 8 - Magnetic nanoparticles transport in porous media

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    This chapter presents the mathematical modeling of magnetic nanoparticle transport with single-phase flow in porous media under the effect of an external magnetic field. We developed a mathematical model for the transport of magnetic nanoparticles in a two-phase flow, followed by the development of a corresponding numerical solution. Finally, we introduce analytical solutions to the single-phase case. The rest of this chapter is organized as follows: Section 8.3 presents the mathematical modeling of the transport of magnetic nanoparticles; while Section 8.4 focuses on the single-phase case, the two-phase case is provided in Section 8.5 with numerical solutions. Finally, analytical solutions are presented in Section 8.6.
  • 9 - Nano-ferrofluids transport in porous media

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    Nano-ferrofluids type is one of the prospective applications of nanoparticles that work with the magnetic field. This chapter will discuss nano-ferrofluids transport in porous media. This chapter presents the properties of ferrofluids without repeating the main equations that presented in Chapter 8. The ferrofluids transport in single-phase flow has been introduced and possible analytical solution for some cases. After that, the modeling of nonisothermal ferrofluids transport in porous media has been established, and an appropriate numerical algorithm has been developed. Finally, the model and numerical method of ferrofluids transport in two-phase flow are provided.
  • 11 - Machine learning techniques for nanoparticles transport

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    Machine learning is a branch of artificial intelligence concerned with creating and developing algorithms that enable computers to learn behaviors or patterns from empirical data. The aim of this chapter is the implementation of machine learning algorithms in predicting nanoparticle transport in the oil reservoir. We used Jupyter Notebook for the implementation, which utilizes Python programming language. Jupyter Notebook is an open-source web tool that allows you to write live code while creating statistics and machine learning models. This chapter contains selected machine learning techniques that can be used for nanoparticle transport in porous media. It starts with the fundamentals of a number of machine learning methods, followed by basic metrics that are frequently used. After that, we discuss datasets and their analysis. Finally, we explain how to implement machine learning techniques in the Jupyter Notebook environment using Python programming language.
  • 12 - Applications of nanoparticles in porous media

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    Some applications of using nanoparticle transport in porous media are presented in this chapter. The applications include using nanoparticles in enhanced oil recovery in addition to the very wide area of application of nanoparticles in the field of heat transfer. Moreover, the combination of nanoparticles and surfactants is also presented. Another very recent application is the harvesting of atmosphere water with aid of using nanoparticles. Also, we discussed the carbon dioxide capture by nanoporous materials and its sequestration in the geological underground. Another important application presented of nanofluid in porous media is the metal hydride hydrogen storage.
  • 7 - Nanoparticles transport in anisotropic porous media

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    Anisotropy of porous media is an essential feature in subsurface formations. In this chapter, nanoparticle transport in anisotropic porous media will be discussed. The next section presents the nature of the anisotropic porous media. After that, we introduce the mathematical modeling of the flow in anisotropic porous media. Moreover, the model of nanoparticle transport in anisotropic porous media has been developed. Then, the numerical techniques that are appropriate for anisotropic porous media have been discussed, particularly the multipoint flux approximation, followed by a numerical example.
  • 6 - Nanoparticles transport in fractured porous media

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    This chapter discusses the modeling of flow fractured porous media. It covers the most common fundamental approaches and presents their physical, mathematical and numerical aspects. Several approaches are introduced including the dual-continuum, boundary conditions, shape factor, and discrete fracture model (DFM). After that, we focus on the DFM for nanoparticle transport in single-phase flow and two-phase flow. Numerical multiscale time-splitting scheme has been developed to solve the DFM model. Finally, the hybrid embedded fracture model has been discussed.
  • 5: Iterative schemes and convergence analysis

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    Iterative approaches are frequently used to solve intricate coupled and highly nonlinear systems. As stated in the previous chapters the mathematical model that governed the nanoparticles transport in porous media consists of equations of pressure, nanoparticles concentration, deposited nanoparticles concentration on the pore-walls, and entrapped nanoparticles concentration in pore-throats. In the case of the two-phase flow, the saturation equation is also considered. Iterative methods are often employed to solve such kinds of time-dependent complicated systems. The nonlinear iterative numerical scheme such as iterative Implicit Pressure Concentration, and the iterative Implicit Pressure Explicit Saturation–Implicit Concentration (IMPES-IMC) has been introduced to solve the model under consideration. The iterative IMP-IMC scheme is devoted to solving the problem of nanoparticles transport with single-phase flow in porous media, while the iterative IMPES-IMC treats the two-phase flow case. This chapter focuses on the iterative methods and investigates their theoretical and numerical convergence. Moreover, a theoretical foundation for the convergence of the iterative approach has been proved using the mathematical induction method.
  • 4 - Temporal numerical discretization schemes

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    This chapter is concerned with the numerical methods frequently used for temporal discretization in the problems of nanoparticles transport in porous media. The forward and backward Euler difference schemes are presented in the following section. Then, the Courant–Friedrichs–Lewy (CFL) stability condition was introduced. After that, we discussed the possibility of using a multiscale time-splitting scheme. Also, we defined the relaxation factor and how it can be used with the CFL condition. Then, we presented the Implicit Pressure Implicit Concentration scheme as well as the Implicit Pressure Explicit Saturation Implicit Concentration scheme. Finally, a stability analysis for the Implicit Pressure Explicit Saturation scheme has been provided.
  • 3 - Spatial numerical discretization methods for nanoparticles transport in porous media

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    Nowadays, computational methods are becoming increasingly more of a third science research means, parallel with experimental and theoretical methods. Especially in oil engineering and the research of groundwater flow and transport phenomena, numerical simulation is turning the most essential method, due to the fast development of computers. Generally, when adopting numerical simulation to research problems, the first step is establishing a mathematical model according to some physical laws of the problems. The second procedure is discretizing the mathematical model, followed by the third step, which is to code and run it on the computer to get the results. Finally, we can understand the original problem through simulation results. In this chapter, we introduce numerical methods that will be used for spatial discretization in nanoparticle transport in porous media. This chapter starts with mesh generation using MATLAB, including uniform and nonuniform 1D/2D/3D grids. After that, we introduce the cell-centered finite difference method (CCFD), including the discretization of the pressure equation, Darcy's law, and how to treat the boundary conditions. Then, the vectored implementation (shifting-matrix) of the CCFD method was presented. Therefore, the harmonic mean of permeability and transmissibility matrices has been listed. Moreover, the finite element method (FEM) is discussed by highlighting its discretization and weak formulation. The theoretical foundation of the FEM requires presenting Raviart–Thomas space. Also, the mixed FEM has been discussed with some numerical examples as it is essential in solving partial differential equations (PDEs) that govern the flow and transport in porous media.
  • 2 - Dimensional analysis and analytical solutions

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-23)
    An analytical solution helps in the validation of numerical methods/solutions as well as the comprehension of mechanisms and physical effects. Analytical solutions of the problem of flow in porous media, magnetic flow in porous media, nanoparticles transport in porous media, and magnetic nanoparticles transport in porous media are addressed in this chapter. Also, dimensional analysis is vital in handling problems regardless of their actual dimensions, which is helpful in large-scale problems such as hydrocarbon reservoirs. Therefore, this chapter also introduces a simplified one-dimensional model of nanoparticle transport in porous media and its generalized nondimensional form that will be solved analytically and numerically to obtain physical insight.
  • 1 - Basic concepts and modeling aspects

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Elsevier, 2023-06-01)
    This chapter presents basic concepts related to the mathematical modeling of nanoparticle transport in porous media that will be used throughout this book. The next section of the introduction includes the continuum theory of fluid flow, followed by the flow in porous media. Then, the rock and fluid physical properties are presented. The mathematical modeling of single-phase and two-phase flow in porous media is discussed. Finally, the modeling of nanoparticles in porous media, which is mainly used in this book, with all aspects and MATLAB code for validation against experimental data is stated.
  • Analytical solutions for harvesting atmospheric water using desiccant materials

    El-Amin, Mohamed F.; No Collaboration; Energy Lab; 0; 0; NSMTU; 0; El-Amin, Mohamed F. (Springer, 2023-09-21)
    Atmospheric water generation using desiccant materials is a promising technology for producing clean drinking water in water-scarce regions. While experimental research on this topic has been extensive, modeling and simulation research are still in their nascent stages. The development of accurate models and simulations is crucial for predicting performance and refining system design. This paper presents analytical solutions for predicting and improving the behavior of water absorption and desorption by the calcium chloride (CaCl2) desiccant, which is commonly used in atmospheric water generation systems. The model considers several physical effects, such as mass transfer, and diffusion. The model considers a linear relationship between the collected water content and relative humidity. Based on this assumption the model has been solved analytically for different cases of boundary conditions including, Dirichlet boundary conditions and Dirichlet–Neumann boundary conditions. Several physical scenarios have been calculated and the results have been discussed.
  • A bibliometric analysis of GCC healthcare digital transformation

    Brahimi, Tayeb; Department Collaboration; Energy Lab; 0; 0; NSMTU; 0; brahimi, Tayeb (Elsevier Inc, 2023-05-24)
    From diagnosing to preventing the spread of coronavirus, digital transformation and innovative technology have demonstrated their ability to play a key role in every aspect of the COVID-19 pandemic. Today, digital transformation goes beyond the application of artificial intelligence (AI) to increase productivity; it is currently reaching the large population in the Gulf Cooperation Council (GCC) and has a significant impact on both work and daily life. This study aims to evaluate the GCC’s various contributions to scientific publications on digital transformation, focusing on the methods used to combat the COVID-19 pandemic and protect community well-being, including the most recent AI applications for COVID-19 safety measures, symptom detection, and remote healthcare. The research methodology used in this study is based on bibliometric analysis, a collection of strategies for analyzing vast amounts of bibliographic data by combining mathematical, statistical, and computer techniques. A set of publications is retrieved from three databases, Scopus, Web of Science (WoS), and Lens.org Then, VOS viewer is used to extract quantitative publication metrics and visualize coexisting networks of key terms extracted during the last 5years. This study focuses on the Scopus database while the WoS and the Lens databases are left for the user as an active learning process with some research directions in exploring bibliometric analysis in healthcare and digital transformation. From 2017 to 2021, 1520 healthcare, AI, and digital transformation documents were retrieved from the Scopus database using the journals’ abstract, title, and keywords “TILE-ABSKEY” sections. Results show that the total number of published documents in the GCC in healthcare and AI increased from 107 papers in 2017 to 720 papers in 2021. Furthermore, the number of citations jumped from 44 in 2017 to more than 4600 in 2021. The most active country was Saudi Arabia, followed by United Arab Emirates (UAE), Qatar, Oman, Kuwait, and Bahrain. Three of the top five most active institutions were from Saudi Arabia—King Saud University, King Abdulaziz University, and Imam Abdulrahman University—followed by the University of Sharjah from the UAE and Qatar University. Out of the 1520 documents retrieved, 20.6% were published in medicine, 18.6% in computer science, and 9.4% in engineering. Our findings indicate that AI and healthcare research are generally well established within each country, with more advancement in Saudi Arabia and UAE, but need more collaborative research between the GCC. This study provides a comprehensive overview of the bibliometric analysis of GCC healthcare digital transformation and AI, which may help researchers, policymakers, and practitioners better understand healthcare needs and development within the GCC
  • Comparative Study B etween Lognormal and Weibull Distributions in Modeling Commercial Concentrator III–V Triple-Junction Solar Cells Lifetimes

    Kittaneh, Omar; Majid, Mohamed; Helal, Sara; Barakat, Enfel; Ammach, Salwa; College collaboration; NA; 0; Sara Helal and Salwa Ammach; NSMTU; et al. (2022)
    In this paper, we show that modeling the accelerated lifetime of commercial concentrator lattice match triple-junction GaInP/GaInAs/Ge cells by a lognormal distribution is better fitted than by Weibull distribution has been adopted by most of the research literature in the field. A fair number of statistical tests are used to analyze real-time datasets from accelerated life testing that significantly favors the lognormal distribution. For comparison purposes, the Arrhenius-Weibull and lognormal stress relationships are used to predict the lifetime model under nominal conditions. They provide comparable estimates to the nominal meantime to failure and activation energy of the cells, yet, the two models possess different behaviors, especially at their tails and peaks. Moreover, an intensive Monte Carlo simulation is conducted to examine the distribution robustness towards the censoring scheme. The results again affirm that type I censored samples of Lognormal are more efficient than those of Weibull in estimating the distribution parameters.
  • Powerful Mathematica Codes for Goodness-of-Fit Tests for Censored Data

    Kittaneh, Omar; No Collaboration; NA; 0; 0; NSMTU; 0; Kittaneh, Omar (Springer Nature, 2022)
    In reliability studies of energy and electrical systems life data are often censored, because life tests are terminated, and life data are analyzed before the failure of all sample units. The most important task to accomplish a successful reliability analysis is to choose, through statistical goodness-of-fit tests, the correct or nearly correct probability distribution to describe the failure mechanism of given experimental data. However, due to censoring, this task would not be as easy as testing complete samples. Unfortunately, the built-in functions and codes of the available computation programs are not valid to test for incomplete or censored samples and give completely wrong results if they are used for that purpose, even on the most sophisticated ones like Mathematica and MATLAB. On the other hand, there is a high chance to slip up when trying to perform this type of tests by someone with humble probabilistic and mathematical background. Correct performance of such tests requires a deep knowledge in how to treat the estimating equations of the candidate distribution’s parameters from a censored sample. This type of equations is usually implicit, which often needs a careful numerical treatment to be successfully solved. Also, we should keep in mind that the test statistics formulas of censored samples are different from those of complete samples. The corresponding critical value of the test must be modified according to the type of the distribution nominated, the degree of censoring, and the complete sample size. Therefore, there is a crucial need to have codes that safely run the tests and give reliable results. This book chapter is devoted to introducing efficient Mathematica codes for two of the best goodness-of-fit tests for censored data, the Cramér–von Mises and Anderson-Darling tests for Weibull and lognormal distributions, which are useful in a great variety of applications in energy studies, particularly as models for product life. The codes are presented together with some practical examples extracted from the literature in various topics of energy systems and related fields.

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