Article
Thermodynamics
Usman, S. Shaheen, M. B. Arain, Kottakkaran Sooppy Nisar, Ashwag Albakri, M. D. Shamshuddin, Fouad Othman Mallawi
Summary: The aim of this study is to investigate the heat transmission in ciliated channels of Williamson fluid under a magnetic field and porous medium, in order to understand the rheological characteristics of non-Newtonian fluids and improve heat transfer rates. A mathematical model was developed for the problem and solved using the Differential Transform Method (DTM). The effects of various parameters on the boundary layer distribution were analyzed through mathematical and graphical representations. The study found that conduction process enhances heat transfer through the molecules of the liquid, and increasing the number of pores increases the magnitude of the velocity profile. The findings of this study have significant applications in bioengineering, medical sciences, and medical equipment for the clearance of viscoelastic fluid from dust and viruses.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Belkacem Kada, Iftikhar Hussain, Amjad Ali Pasha, Waqar Azeem Khan, Muhammad Tabrez, Khalid A. Juhany, Mostafa Bourchak, Ramzi Othman
Summary: Research on nanotechnology is of interest due to its wide range of applications including cancer treatment, medicines, aircraft manufacturing, nano-robot technology, bio-convection, heat exchangers, microelectronics, and more. This study aims to investigate the use of radiation phenomena and magnetic effects in micro-polar nanofluids on impermeable surfaces. The research focuses on the stability of suspended nanoparticles using bioconvection influenced by magnetic fields. The results show the impact of physical parameters on fluid temperature and the motion of microorganisms.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2023)
Article
Physics, Multidisciplinary
W. Abbas, Ahmed M. Megahed, M. A. Ibrahim, Ahmed A. M. Said
Summary: In this work, we investigated the steady flow of a Casson-Williamson fluid on a stretchable, impenetrable sheet with Ohmic dissipation, considering the impacts of magnetic and electric fields as well as porous media. The study focused on how viscous dissipation and varying thermal conductivity affect the heat transfer process. The numerical solutions of the temperature and velocity fields were obtained using the shooting technique, and graphical representations of the impact of various parameters on the velocity and temperature profiles were shown.
INDIAN JOURNAL OF PHYSICS
(2023)
Article
Engineering, Multidisciplinary
Moeen Taj, T. Salahuddin
Summary: The main objective of this research is to investigate the influence of viscous dissipation and nonlinear radiation on three-dimensional (3D) Williamson fluid flow in an exponentially stretching porous medium, considering the effect of activation energy and chemical reaction. By transforming the nonlinear partial differential equations (PDEs) into nonlinear ordinary differential equations (ODEs), numerical solutions are obtained using the Range-Kutta method with the shooting technique in Matlab. Graphical representations are used to comprehensively analyze the characteristics of the physical parameters in the model, such as the Weissenberg number, Prandtl number, nonlinear radiation parameter, porosity parameter, Eckert number, and chemical reaction parameter, to provide insight into their physical meaning. The results indicate that increasing the values of the nonlinear radiation parameter improves the thermal profile due to inner heat. The thermal profile is enhanced by increasing the Eckert number, but it has the opposite trend with the Prandtl number. The impact of the obtained parameters on the skin friction coefficient, mass, and heat transfer rates is illustrated in tables. The validity of the findings is demonstrated by comparing them with previous investigations.©2023 Production and hosting by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Susmay Nandi, Zahoor Iqbal, Mohammed Alhagyan, N. Ameer Ahammad, Nafisa A. M. Albasheir, Ameni Gargouri, Sharifah E. Alhazmi, Sayed M. Eldin
Summary: This research examines the laminar flow of a complex nano-liquid and the factors affecting heat transfer in this flow. By analyzing different materials, solutions for the flow are found, and the characteristic changes under different parameters are described.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Mathematics, Applied
Sumaira Qayyum, M. Ijaz Khan, Faria Masood, Yu-Ming Chu, Seifedine Kadry, Mubbashar Nazeer
Summary: The research investigates the impact of various factors on entropy generation in the flow of non-Newtonian fluid towards a surface, highlighting the abrupt change in entropy generation rate with enhancements in thermal radiation and magnetic effects. Numerical calculations reveal heat transfer rates and velocity gradients, with results displayed in tabular form.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Imran Ullah, Farhad Ali, Sharena Mohamad Isa, Saqib Murtaza, Wasim Jamshed, Mohamed R. Eid, Ayesha Amjad, Kamel Guedri, Hamiden Abd El-Wahed Khalifa, Sayed M. Din
Summary: The combined convective flow of Williamson-dusty nanofluid (WDNF) via a stretchable sheet in the presence of a magneto force and porous medium is investigated. The influence of Brownian and thermophoretic diffusion preserved in magneto WDNF modeling in the occurrence of radiative flowing is examined. The findings show that a larger magnetic field decreases the rapidity and thickening of the impetus boundary layer of nanofluids. The momentum dust parameter and the fluid interaction parameter enhance the heat transmission rate. The rapidity and temperature fields of the liquid and dusty phases improve as the radiation parameter is raised. This open access article was published by Elsevier B.V. on behalf of King Saud University and is licensed under the CC BY-NC-ND license.
ARABIAN JOURNAL OF CHEMISTRY
(2023)
Article
Thermodynamics
Sohail A. Khan, T. Hayat, A. Alsaedi
Summary: This paper discusses entropy generation in MHD Reiner-Rivlin fluid flow subjected to a stretching sheet, with consideration of viscous dissipation, Ohmic heating, and radiation features. The variations of velocity, concentration, thermal field, and entropy generation with relevant parameters are studied. The results show that entropy generation, magnetic variable, and diffusion variable have significant impact on fluid flow.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Mathematics, Applied
Umair Khan, Aurang Zaib, Sakhinah Abu Bakar, Anuar Ishak, Dumitru Baleanu, El-Sayed M. Sherif
Summary: This study examines the application of hybrid nanofluid in the cross-flow of boundary layer. The results suggest that the inclusion of hybrid particles improves both drag force and heat transfer, and the presence of suction significantly enhances the friction factor and heat transfer on the porous sheet.
Article
Multidisciplinary Sciences
K. M. Sanni, Q. Hussain, S. Asghar
Summary: This study focuses on the flow and heat transfer of 2-D Maxwell fluid due to linear stretching of a curved surface, incorporating radiation and dissipation effects in the energy equation. The modeling and numerical calculation of field quantities for velocity, pressure, and temperature are developed, investigating the effects of radius of curvature, magnetic field, and non-Newtonian parameters. This analysis enhances the mathematical understanding of boundary-driven flows in non-Newtonian fluids and expands its applications in the polymer industry.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
I. Hussain, W. A. Khan, M. Tabrez, Samia Elattar, M. Ijaz Khan
Summary: Recent developments in technology and population growth have motivated researchers to search for innovative and efficient energy sources other than fossil fuels. Solar energy and nanofluids have emerged as the best solutions, as they are abundant in nature and environmentally friendly. Researchers have used numerical techniques and MATLAB software to study the effects of different parameters on velocity distribution, temperature, and concentration.
JOURNAL OF THE INDIAN CHEMICAL SOCIETY
(2023)
Article
Mathematics, Applied
W. Abbas, Ahmed M. Megahed, Osama M. Morsy, M. A. Ibrahim, Ahmed A. M. Said
Summary: This article presents a numerical analysis of the incompressible two-dimensional flow of a non-Newtonian Williamson fluid, considering the effects of porous medium, thermal radiation, viscous dissipation, and chemical reactions. The study reveals the impact of slip velocity and viscosity factors on Nusselt and Sherwood numbers, as well as the relationship between fluid properties and heat mass transfer.
Article
Energy & Fuels
Sohail A. Khan, T. Hayat, A. Alsaedi
Summary: This article addresses the entropy analysis of Magnetohydrodynamic (MHD) unsteady flow of Prandtl fluid on a stretchable surface. The analysis takes into account thermal transport with radiation, magnetic field, and dissipation, and examines the physical behaviors of Soret and Dufour effects. The study discusses the features of entropy and simulates dimensionless problems using the finite difference method. The graphical illustrations show the outcomes of fluid motion, thermal and mass transport, and entropy. The results indicate that an increase in Reynolds number improves velocity, higher magnetic variables enhance the thermal field and entropy rate, temperature is increased through radiation while the reverse trend holds for Prandtl number, higher Soret number increases concentration while the opposite holds for Schmidt number, and higher radiation estimation improves entropy rate and thermal field.
Article
Thermodynamics
Kanwal Jabeen
Summary: This article focuses on the study of the combined effects of electric and magnetic fields in a Carreau nanofluid flow with magnetic dipole and gyrotactic microorganisms. Various factors such as nonlinear thermal radiation, activation energy, chemical reaction, viscosity, and ohmic dissipation are also considered. The study uses numerical methods to compute the velocity, temperature, concentration, and density profiles. The results show the impact of different parameters on the profiles, and the comparison with published work confirms the validity of the findings. The article also presents additional computations and graphical analysis for surface drag force, heat and mass fluxes, and density of motile organisms in different types of fluids.
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
T. Salahuddin, Muhammad Adil Iqbal, Ambreen Bano, Muhammad Awais, Shah Muhammad
Summary: This paper investigates the two-dimensional incompressible magnetohydrodynamic flow of Williamson fluid through a stretching sheet, which has significant importance and applications in various industrial works. The effects of temperature and concentration, double stratification, and viscous dissipation are considered. The flow problem is transformed into ordinary differential equations using similarity transformations and solved using the bvp4c method in MATLAB software. The results show that the motion of the fluid is slowed down by the Williamson fluid parameter and Hartman number, and the mass and heat transfer rates decrease due to thermal and solutal relaxation parameters and the increase in stratification coefficient.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Anum Shafiq, Andac Batur Colak, Tabassum Naz Sindhu
Summary: In this study, the Darcy-Forchheimer flow paradigm was analyzed using an artificial intelligence approach, which is important in fields such as petroleum engineering with high flow velocity effects. The Darcy-Forchheimer flow of Ree-Eyring fluid along a permeable stretching surface with convective boundary conditions was examined, and heat and mass transfer mechanisms were investigated by considering the effect of chemical process, heat generation/absorption, and activation energy. Artificial neural network models were developed to predict Nusselt number, Sherwood number, and skin friction coefficient values, and they showed high accuracy in the prediction.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
(2023)
Review
Biochemistry & Molecular Biology
Abdul Haleem, Anum Shafiq, Sheng-Qi Chen, Mudasir Nazar
Summary: Dye and nitro-compound pollution is an important global issue, and the adsorption and degradation of these pollutants have become areas of significant research. This review provides a comprehensive analysis of the different methods and materials used for adsorption, photocatalytic degradation, and chemical degradation of dyes and nitro-compounds. It also summarizes the adverse effects of these pollutants on aquatic organisms and human beings. This study fills a gap in the literature by providing a comprehensive analysis of the topic. Rating: 8/10.
Article
Thermodynamics
Ghulam Rasool, N. Ameer Ahammad, Mohamed R. Ali, Nehad Ali Shah, Xinhua Wang, Anum Shafiq, A. Wakif
Summary: This article analyzes the convective boundary layer flows of radiating thixotropic nanofluids over a horizontal stretching surface. By considering the retardational influences of Darcy-Forchheimer and Lorentz forces and the contributions of Brownian and thermophoresis diffusions, the study reveals that the thixotropic feature reinforces the nanofluid motion.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Pharmacology & Pharmacy
Tabassum Naz Sindhu, Anum Shafiq, Zawar Huassian
Summary: Arthritis is a painful and swelling condition in one or more joints. The treatment for arthritis focuses on reducing symptoms and improving quality of life. This article introduces a new mathematical model, the generalized exponentiated unit Gompertz (GEUG) model, for modeling clinical trial data representing the relief times of arthritic patients. The novel model incorporates new tuning parameters to the unit Gompertz (UG) model to increase its versatility. Statistical attributes, moments, uncertainty measures, and estimation methods were derived and studied in the article, along with a comprehensive simulation analysis to evaluate the effectiveness of parameter estimation. The suggested model showed adaptability and a better fit than other relative models.
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
(2023)
Article
Engineering, Multidisciplinary
Tabassum Naz Sindhu, Andac Batur Colak, Showkat Ahmad Lone, Anum Shafiq
Summary: The investigation into lifetime reliability analysis is crucial for verifying the quality of devices, equipment, electronic tube flops, and more. In recent years, statistical investigators have shown increasing interest in exploring lifetime models, but have overlooked the issue of modeling reliability metrics using artificial neural networks (ANNs). This study addresses this gap by discussing the use of multilayer ANN with Bayesian regularization modeling to analyze the reliability metrics of a generalized exponential model based on inverse power law (IPL). The numerical findings and values obtained from the ANN demonstrate the power and utility of ANNs for analyzing the reliability of IPL-based lifetime models. Finally, a real-life framework is implemented to support the research study's theory.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Physics, Multidisciplinary
Anum Shafiq, Andac Batur Colak, Tabassum Naz Sindhu
Summary: The low heat efficiency of base fluids is addressed by utilizing tiny-sized metal solid material inside the base fluids. This study uses a machine learning algorithm to investigate the thermal application of graphene oxide water/ethylene glycol-based nanofluids under electromagnetohydrodynamic and Darcy-Forchheimer medium. The skin friction coefficient and Nusselt parameter were simulated and artificial neural networks were developed based on the findings to accurately predict these parameters.
EUROPEAN PHYSICAL JOURNAL PLUS
(2023)
Article
Mathematics
Showkat Ahmad Lone, Tabassum Naz Sindhu, Marwa K. H. Hassan, Tahani A. A. Abushal, Sadia Anwar, Anum Shafiq
Summary: Statistical models are crucial for data analysis, and researchers are always looking for potential or the latest statistical models to fit different data sets. In this investigation, a T-X transformation and the Gumbel Type-II model were used to create an improved statistical model. Simulation evaluation was conducted to assess the efficacy of the parameters. Two actual data sets were utilized to demonstrate the application of the T-X approach in producing the new and improved Gumbel Type-II (NIGT-II) distribution, and the results suggest that the NIGT-II distribution outperforms the Gumbel Type-II distribution.
Article
Mathematics
Bagh Ali, Anum Shafiq, Meznah M. M. Alanazi, Awatif A. A. Hendi, Ahmed Kadhim Hussein, Nehad Ali Shah
Summary: This study investigates the importance of varying the radius D-p of Copper nanoparticles for microgravity-modulated mixed convection in micropolar nanofluid flux under an inclined surface subject to a magnetic field and heat source. The results show that the size of nanoparticles greatly influences the flow and temperature of the nanofluid. Various parameters, such as D-p, modulation amplitude epsilon, material parameter beta, mixed convection parameter lambda, inclination angle gamma, and magnetic parameter M, significantly affect the Nusselt number, couple stress, and skin friction coefficient. These findings have important implications for space transportation and materials' performance.
Article
Mathematics
Anum Shafiq, Tabassum Naz Sindhu, Sanku Dey, Showkat Ahmad Lone, Tahani A. A. Abushal
Summary: In this study, a new three-parameter lifetime model, named the half-logistic unit Gompertz type-I distribution, is proposed by combining the type-I half-logistic G family and the unit-Gompertz model. The novel model adds a new tuning parameter to make the unit-Gompertz model more flexible. Diagrams and numerical results are used to analyze the mathematical and statistical aspects of the new model. The efficiency of distribution parameter estimation is evaluated using various classical methodologies.
Article
Mathematics
Tabassum Naz Sindhu, Sadia Anwar, Marwa K. H. Hassan, Showkat Ahmad Lone, Tahani A. Abushal, Anum Shafiq
Summary: The reliability of software has a significant impact on system reliability. Software dependability models are commonly used for statistical analysis of software reliability. This study proposes a novel nonhomogeneous Poisson method (NHPP) model based on a new power function distribution. Mathematical formulas for reliability measurements are derived and visually illustrated. The parameters of the model are evaluated using weighted nonlinear least-squares, maximum-likelihood, and nonlinear least-squares estimation techniques. The model is verified using multiple reliability datasets. Four criteria are used to assess and compare the estimation techniques. The effectiveness of the novel model is objectively and subjectively evaluated against two foundation models. The implementation results demonstrate good performance of the novel model in the examined failure data.
Article
Mathematics, Applied
Tahani A. Abushal, Tabassum Naz Sindhu, Showkat Ahmad Lone, Marwa K. H. Hassan, Anum Shafiq
Summary: This study examines the theoretical and practical implications of the 2-component mixture of Shanker model (2-CMSM). The hazard rate function of this proposed model has rising, decreasing, and upside-down bathtub forms. Statistical characteristics of the mixed model are investigated, and appropriate approaches such as maximum likelihood, least squares, and weighted least squares are used to estimate the parameters of the mixture model.
Article
Engineering, Multidisciplinary
Ghulam Rasool, Abderrahim Wakif, Xinhua Wang, Anum Shafiq, Ali J. Chamkha
Summary: Motivated by the thermal importance of feeble electrically conducting nanofluids and their flow controls in many industrial and engineering applications, this study comprehensively investigates the electro-magneto-hydrothermal and mass aspects of convective non-homogeneous flows of alumina-based pure water nanofluids Al2O3-H2O over a horizontal flat surface. The study adopts the Buongiorno's approach with the inclusion of Brownian motion and thermophoresis diffusive phenomena, and the numerical results show that the nanofluid temperature is significantly enhanced with porosity factors, nanoparticles' loading, convective heating strength, and thermophoresis process. However, the porosity factors and nanoparticles' loading exhibit a slowing-down impact on the nanofluid motion. Importantly, the nanoparticles' loading and porosity factors contribute to an improvement in the strength of the surface viscous drag forces, while the induced electromagnetic field shows a reverse viscous frictional impact.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Multidisciplinary Sciences
Anum Shafiq, Andac Batur Colak, Tabassum Naz Sindhu
Summary: This study analyzes the forced convective heat and mass transfer of a nanofluid using the Buongiorno model and the Runge-Kutta fourth-order technique with shooting approach. The results show that an artificial neural network model can accurately predict the values of skin friction coefficient, Sherwood number and Nusselt number.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Zhiqiang Li, Xiaoxiao Hu, Zhao-Yun Zeng, Yajiang Chen, Ai-Xi Chen, Xiaobing Luo
Summary: This work demonstrates how the current phase transition of atomic Bose-Einstein condensates in a trap can be controlled by applying an oscillatory driving field. The self-trapping effect in momentum space allows for a suppression of oscillations and a nearly constant directed current. Mean-field chaos serves as an indicator of the quantum phase transition. These findings are supported by an effective three-mode model.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Jinqin Ye, Yi Li, Jun Ding, Heng Yu, Xianqi Dai
Summary: Constructing van der Waals heterostructures is an efficient approach to enhance the properties and broaden the applications of two-dimensional materials. This study explores the structure, stability, electronic, and optical properties of BlueP/MoSSe heterostructures using density functional theory calculations. It is found that the bandgap and band edge of these heterostructures can be effectively modulated by strain and electric field.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Simone Anzellini, Silvia Boccato, Samuel R. Baty, Leonid Burakovsky, Daniele Antonangeli, Daniel Errandonea, Raffaella Torchio
Summary: The melting line of cobalt was investigated through experimental and theoretical methods, revealing a phase transition from hexagonal close-packed structure to face-centered cubic structure at high temperatures. The melting temperatures obtained from both methods showed good agreement and can be described by a Simon-Glatzel equation. Additionally, a thermal equation of state for the face-centered cubic phase of cobalt was determined.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Jiajuan Qing, Shisheng Zhou, Jimei Wu, Mingyue Shao
Summary: This paper investigates the nonlinear chaotic vibrations of fractional viscoelastic PET membranes subjected to combined harmonic and variable axial loads. The viscoelasticity of PET membrane is characterized by the fractional Kelvin-Voigt model. The reliability of the numerical strategy is proved by comparing the results with available fractional systems and examples. The influence of system parameters on chaotic behaviors is described using bifurcation diagrams and detailed responses. This research provides a fundamental framework for controlling viscoelastic substrates in flexible manufacturing.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Aly R. Seadawy, Syed T. R. Rizvi, Bazgha Mustafa, Kashif Ali
Summary: In this research, the complete discriminant system of polynomial method is used to analyze the dynamic characteristics of the cubic-quintic nonlinear Schrodinger equation with an additional anti-cubic nonlinear term, with a focus on the introduction of various optical solitons and wave structures. The analysis illustrates the importance of the polynomial method and provides dynamic results for the solutions.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Ruihang Huang
Summary: This study utilized bibliometric analysis to examine the development of multi-scale calculation of carbon nanotubes. Using CiteSpace III software, 1253 relevant articles from the SCI Expanded database were analyzed to identify research trends in this field. The findings revealed significant progress in the research of multi-scale calculation of carbon nanotubes from 1999 to 2023. The analysis of keywords, literature co-citation network, and keyword cluster network provided valuable insights into the knowledge base, important research results, and research hotspots in this field. Additionally, the study predicted future hot research directions using keyword breakout analysis. The research provides profound insights and important guidance for researchers and policymakers in the field of multi-scale calculation of carbon nanotubes to promote further innovation and development.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Xiaohua Zhou, Erhu Zhang, Shumin Zhao, Lei Zhang
Summary: A theoretic model is proposed to study the adhesion behavior of a vesicle adhering inside another vesicle in 2-D case. The model investigates the equilibrium shape equations and boundary conditions, and reveals the phase diagram and critical adhesion condition in different situations.
RESULTS IN PHYSICS
(2024)
Article
Materials Science, Multidisciplinary
Xin Yi, Jia-Cheng Huo, Yong-Pan Gao, Ling Fan, Ru Zhang, Cong Cao
Summary: The paper introduces an iterative quantum algorithm based on quantum gradient descent to solve combinatorial optimization problems, verifying the effectiveness and robustness of the algorithm through numerical simulations and comparison with other algorithms. Experimental results on a real quantum computer also demonstrate the feasibility and performance of the algorithm.
RESULTS IN PHYSICS
(2024)
