Article
Materials Science, Multidisciplinary
Firas A. Alwawi, Abdulkareem Saleh Hamarsheh, Hamzeh T. Alkasasbeh, Ruwaidiah Idris
Summary: The study established a numerical simulation of kerosene oil as a host Casson fluid flowing around a cylindrical shape, considering various parameter ranges. The findings show that an increase in the mixed convection parameter and volume fraction of ultrafine particles can enhance the rate of energy transport, skin friction, and velocity distribution.
Article
Chemistry, Physical
K. Mahmud, R. Mehmood, S. Rana, A. Al-Zubaidi
Summary: In this research, the effects of Hall and ion-slip on oblique stagnation point flow of magneto hydrodynamics Casson nanofluid with Newtonian heating and zero heat and mass on an elastic surface are discussed. The governing equations are transformed into a system of non-linear ODEs using similarity transformation and solved numerically using the Runge-Kutta Fehlberg method. The results show the influence of physical constraints on the velocity, temperature, and nanoparticles' concentration. Skin friction quantities, heat and mass flux are measured numerically. The study reveals the dominant influence of the magnetic field parameter on temperature and concentration of nanoparticles far away from the surface.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Mathematics, Interdisciplinary Applications
V. Puneeth, S. Manjunatha, J. K. Madhukesh, G. K. Ramesh
Summary: This study investigates the role of mixed convection, Brownian motion, and thermophoresis in the dynamics of Casson hybrid nanofluid, revealing better heat and mass transfer characteristics in linear stretching sheets, an enhancement in fluid flow velocity with the mixed convection parameter, opposite effects in the thermal and concentration fields, and a decrease in flow velocity with an increase in the yield stress due to the rise in the Casson parameter.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Chemistry, Multidisciplinary
Asad Ullah, Ramadan A. ZeinEldin, Hamiden Abd El-Wahed Khalifa
Summary: This study uses the basic Casson fluid and Cattaneo-Christov double diffusion model to simulate the behavior of the Casson hybrid nanofluid flowing steadily along a two-directional stretchable sheet under the influence of changing magnetic flux and electrical conductivity. The problem is formulated as a set of coupled ordinary differential equations and solved using the homotopy analysis method. The results show the effects of various parameters on the flow, and the ZnO + Ag/Casson fluid demonstrates good heat transfer performance, making it suitable for cooling applications to enhance system efficiency.
Article
Physics, Multidisciplinary
Shafia Rana, M. Nawaz, M. K. Alaoui
Summary: This study investigates the effects of Hall and ion-slip currents on the three-dimensional flow of shear rate-dependent viscous fluid, with a focus on thermal characteristics. It is found that the Hall and ion-slip forces in TiC-Al(2)O(3)-ethylene glycol flow are greater than those in Al(2)O(3)-ethylene glycol flow, affecting momentum boundary layer thickness and thermal performance. Additionally, the role of generative chemical reactions in mass transport and the adverse effects of Ohmic dissipation on thermal performance are highlighted in the context of coolant behavior.
Article
Multidisciplinary Sciences
Khalid Fanoukh Al Oweidi, Faisal Shahzad, Wasim Jamshed, Usman, Rabha W. Ibrahim, El Sayed M. Tag El Din, Afrah M. AlDerea
Summary: This study determined the thermal properties of ternary nanofluids and investigated the effects of Hall current, thermal radiation, and heat dissipation on fluid flow.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Usman, Abid Ali Memon, Metib Alghamdi, Taseer Muhammad
Summary: The article investigates heat transfer characteristics of a water alumina nanofluid through a three-dimensional annular. The study found that the average Nusselt number at the middle of the annular increases initially with volume fraction before decreasing, while the average percentage change in temperature relative to the inner cylinder's hot temperature decreases with an increase in volume fraction.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Y. Suresh Kumar, Shaik Hussain, K. Raghunath, Farhan Ali, Kamel Guedri, Sayed M. Eldin, M. Ijaz Khan
Summary: In this study, the flow, heat and mass transfer behavior of Casson nanofluid past an exponentially stretching surface under several influence factors was analyzed. The governing equations were transformed into ordinary differential equations and solved numerically. The impact of each parameter on velocity, concentration and temperature was discussed through graphs. Skin friction coefficient, local Nusselt number and Sherwood number were calculated numerically to investigate the inside behavior of the emerging parameters.
SCIENTIFIC REPORTS
(2023)
Article
Mathematics
Humaira Yasmin, Zahid Nisar
Summary: Nanofluids have excellent heat transfer rates and are valuable in medical and industrial applications. This study investigates the peristaltic flow of a Casson nanofluid in a symmetric elastic/compliant channel. The study establishes equations for flow, thermal/mass transfer, and considers the effects of Brownian motion and thermophoresis. Slip conditions and lubricant approximations are applied to simplify the equations. The study analyzes the influence of various variables on fluid velocity, temperature profile, and heat transfer rate.
Article
Construction & Building Technology
Ali Rehman, Waris Khan, Ebenezer Bonyah, Samsul Ariffin Abdul Karim, Ahmed Alshehri, Ahmed M. Galal
Summary: The research focuses on simulating the hybrid nanofluid to improve the heat transfer ratio by adding heat transmission mechanism in the flow model. The results demonstrate the significant influence of different parameters on the heat transfer ratio.
ADVANCES IN CIVIL ENGINEERING
(2022)
Article
Mathematics
Nurul Amira Zainal, Roslinda Nazar, Kohilavani Naganthran, Ioan Pop
Summary: This study conducted a numerical analysis on the unsteady magnetohydrodynamic mixed convection at a three-dimensional stagnation point flow, revealing that the enhancement of suction/injection and magnetic parameters exaggerates heat transfer rate and skin friction coefficient, while the increase in volume fraction of nanoparticles and decrease in unsteadiness parameter lead to a decrease in performance.
Article
Multidisciplinary Sciences
Nadeem Abbas, Wasfi Shatanawi, Kamaleldin Abodayeh
Summary: This study analyzed the stagnation point flow of unsteady compressible Casson hybrid nanofluid flow over a vertical stretching sheet and compared the Yamada Ota, Tiwari Das, and Xue hybrid nanofluid models. The effects of Lorentz force and nonlinear radiation were studied. The results showed that the Yamada Ota model had a higher heat transfer rate compared to the other models.
Article
Mathematics, Applied
Anindita Sahoo, Raj Nandkeolyar
Summary: The present research investigates the mathematical exploration of magnetohydrodynamic radiative Casson nanofluid flow and explores the effects of different parameters on the flow characteristics. The study reveals that stretching and chemical reaction enhance the energy field, while thermophoretic diffusion and chemical reaction decrease the concentration of nanoparticles. In the radial direction, flow near the upper disk is controlled by the Hall current, magnetic field intensity, and stretching rate of the lower disk. On the other hand, the Casson parameter, rotation parameter, and stretching parameter for the lower disk control the flow along the radial direction near the lower disk. The stretching rate of the upper disk and rotation enhance axial flow throughout the flow region.
ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK
(2023)
Article
Multidisciplinary Sciences
A. Sahoo, R. Nandkeolyar
Summary: This article provides a detailed analysis of entropy generation in the unsteady three-dimensional incompressible and electrically conducting magnetohydrodynamic flow of a Casson nanofluid. The effects of various flow parameters on velocity, temperature, concentration, entropy generation, and Bejan number are depicted through graphs and tables. Overall, the study improves understanding of how different parameters impact the behavior of the nanofluid flow system.
SCIENTIFIC REPORTS
(2021)
Article
Thermodynamics
Bilal Ahmed, T. Hayat, A. Alsaedi
Summary: The study investigated the effects of hybrid nanofluid on the peristaltic motion of MHD nanofluid, considering mixed convection, Hall parameter, and variable viscosity. The dimensionless equations were solved numerically, showing enhancements in temperature field for higher Hartman numbers and opposite trends for Hall effects. The inclusion of silver nanomaterial in copper nanofluid was found to facilitate heat transport characteristics.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Ayele Tulu, Wubshet Ibrahim
Summary: This study investigates the natural convection unsteady flow of CNTs - Fe3O4/water hybrid nanofluids due to stretching surface embedded in a porous medium. The effects of hybrid nanoparticles volume friction, second-order velocity slip condition, and temperature-dependent viscosity are analyzed. The results show that the thermal conductivity of (CNTs - Fe3O4)/H2O hybrid nanofluids is higher with higher value of hybrid nanoparticle volume fraction, and that higher temperature-dependent viscosity and second-order velocity slip parameters lead to reduced momentum boundary layer and increased thermal boundary layer.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Wubshet Ibrahim, Lelisa Kebena Bijiga
Summary: This paper discusses the recent progress in using neural network methods to solve fractional differential equations, particularly focusing on the time-fractional telegraph equation. By constructing a loss function with adjustable parameters and formulating the equation as an optimization problem, the accuracy of the method used was confirmed through numerical examples with known analytic solutions. Thorough analysis of graphical and tabular results, along with presentation of mean square errors for different choices of neurons and epochs, was also conducted.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Physics, Multidisciplinary
Dachasa Gamachu, Wubshet Ibrahim
Summary: This study investigates the mixed convection flow of viscoelastic hybrid nanofluid past a rotating disk under slip and convective heating condition influences. The results show that an increase in the Grashof number accelerates fluid motion, increases velocity fields, but decreases temperature and concentration profiles. Additionally, controlling temperature and concentration distribution can be achieved by increasing the volume fraction of alumina and silver nanoparticles.
Article
Computer Science, Information Systems
Neha Garg, Nipun R. Navadia, Anupam Lakhanpal, Indrajeet Gupta, Wubshet Ibrahim, Manish Raj
Summary: This paper presents an efficient CloudConsumerism model for evaluating the performance of cloud service providers (CSPs) and consumers using the multicriteria decision-making method (MCDM) TOPSIS. It introduces a service mapping algorithm for efficient mapping and conducts extensive simulation experiments to validate the proposed framework, which shows promising results for online cloud-based platforms.
MOBILE INFORMATION SYSTEMS
(2022)
Article
Health Care Sciences & Services
Aditi Sakalle, Pradeep Tomar, Harshit Bhardwaj, Asif Iqbal, Maneesha Sakalle, Arpit Bhardwaj, Wubshet Ibrahim
Summary: The COVID-19 pandemic and resulting lockdowns have had a significant impact on global mental health. Therefore, recognizing emotions has become a crucial area of research for scholars worldwide. In this study, a feature selection technique called Genetic Program-Based Feature Selection (FSGP) is proposed. Using a fourteen-channel EEG device, 70 brain signal features are inputted, and with the help of Genetic Programming (GP), irrelevant and redundant features are separated, leaving 32 relevant features. The proposed model achieves a classification accuracy of 85%, outperforming previous works.
JOURNAL OF HEALTHCARE ENGINEERING
(2022)
Article
Mathematical & Computational Biology
Harshit Bhardwaj, Pradeep Tomar, Aditi Sakalle, Maneesha Sakalle, Rishi Asthana, Arpit Bhardwaj, Wubshet Ibrahim
Summary: This study proposes a method for real-time identification of personality traits related to film clips. By analyzing brain waves and using the MBTI paradigm, the study elicits emotions in people. The method uses FFT for feature extraction and HGP for EEG data classification. The overall classification accuracy of the proposed HGP classifiers is 82.25%.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Review
Computer Science, Software Engineering
Rohit Verma, Dheeraj Rane, Ravi Shankar Jha, Wubshet Ibrahim
Summary: This article provides a comprehensive review of existing security ideas and architectures for the virtualized environment, as well as addressing some open issues in virtualization security. By discussing the characteristics and challenges of virtualized environments, it emphasizes the need for different security measures when protecting virtual systems.
SCIENTIFIC PROGRAMMING
(2022)
Article
Mathematical & Computational Biology
Arpit Bhardwaj, Harshit Bhardwaj, Aditi Sakalle, Ziya Uddin, Maneesha Sakalle, Wubshet Ibrahim
Summary: Breast cancer is the second leading cause of death in developed and developing nations, characterized by gene mutation, constant pain, size fluctuations, color, and breast skin texture. By applying various classification algorithms on the WBCD dataset, it was found that random forest achieved a classification accuracy of 96.24%, outperforming other classifiers.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Mathematical & Computational Biology
Ayushi Sharma, Harshit Bhardwaj, Arpit Bhardwaj, Aditi Sakalle, Divya Acharya, Wubshet Ibrahim
Summary: Optical character recognition (OCR) is utilized in this project to extract text from images or scanned documents. The accuracy of handwritten displays of letters and numbers is measured using Machine Learning and Deep Learning algorithms, with a comparison of classification accuracy shown. The CNN classifier achieved the highest classification accuracy of 98.83%.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Mathematical & Computational Biology
Anurag Singh Indu, Anurag Singh Baghel, Arpit Bhardwaj, Wubshet Ibrahim
Summary: Pesticides are widely used in agriculture to protect crops, but their repeated use can have detrimental effects on human health and the environment. Researchers have proposed using adjuvants and machine learning algorithms to control the repetitive use of pesticides, with the goal of reducing unnecessary spraying in crop fields.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Mathematics, Applied
Wubshet Ibrahim, Mesele Tamiru
Summary: This study focuses on solving three-dimensional nonlinear Klein-Gordon equations of four variables using the quadruple Laplace transform method coupled with the iterative method. The study demonstrates that this method can obtain analytical solutions of the equations and has applicability and efficiency.
INTERNATIONAL JOURNAL OF DIFFERENTIAL EQUATIONS
(2022)
Article
Engineering, Multidisciplinary
Mohammed Hirpho, Wubshet Ibrahim
Summary: This study investigates the mixed convection flow of hybrid nanofluid in a trapezoidal prism cavity. Numerical simulations were conducted to analyze the effects of various parameters on the flow and temperature fields. The results demonstrate that buoyant convection distorts the isothermal fields and increases fluid penetration in the cavity. Additionally, an increase in the volume fraction of hybrid nanoparticles leads to a decrease in the average Nusselt number.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Wubshet Ibrahim, Dachasa Gamachu
Summary: This study investigates the heat and mass relocation properties of magneto-hydrodynamic mixed convective viscoelastic hybrid nanofluid flow induced by an extending spinning disk under various factors such as entropy generation, thermal radiation, convective condition, velocity, and concentration slips. The results show that the velocity field and temperature distribution can be controlled by adjusting the viscoelastic constraint and volume fraction of solid non-sized particles. Furthermore, the entropy generation in the system can be regulated by using a higher volume fraction of nanoparticles. This research is important for bio-viscoelastic fluids, advanced technology, and industry.
Article
Engineering, Electrical & Electronic
S. Sankar, Somula Ramasubbareddy, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Punit Gupta, Wubshet Ibrahim, Rohit Verma
Summary: The Internet of Things (IoT) has improved productivity in various sectors by connecting devices distributed globally to the Internet. Cluster head selection using clustering techniques is crucial in extending the network's lifespan, increasing throughput, and reducing energy consumption.
JOURNAL OF SENSORS
(2023)
Article
Materials Science, Multidisciplinary
Dachasa Gamachu, Wubshet Ibrahim, Lelisa Kebena Bijiga
Summary: This study investigates the heat transfer characteristics of Sutterby hybridized nanofluid flow around a spinning sphere in electro-magnetohydrodynamic nonlinear convective unsteady stagnation point flow, considering the influence of convective heating circumstances and quadratic thermal radiation flux. Different nanofluids, AA7072/methanol and AA7072 + AA7075/methanol, were created and their flow behavior was analyzed. The results show that the flow of the nanofluids moves quickly in the primary direction and slowly in the rotating direction due to the unsteadiness, magnetic field, and Sutterby fluid parameters. Furthermore, an increase in thermal radiation constraint, temperature ratio parameter, magnetic field constraint, electric field constraint, and nanoparticle volumetric fraction leads to an increase in the temperature distribution.
RESULTS IN PHYSICS
(2023)