Article
Engineering, Mechanical
Krishno D. Goswami, Anirban Chattopadhyay, Swapan K. Pandit
Summary: This study presents a numerical simulation of steady thermogravitational convection of Cu-Al2O3 water-hybrid magneto-nanofluid in a novel shaped enclosure. The results show that the combination of heater locations and geometry has a significant impact on the transport phenomena, and Cu-Al2O3 hybrid nanoparticles play a crucial role in enhancing heat transfer.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Energy & Fuels
Ammar Alsabery, Ahmad Hajjar, Zehba A. S. Raizah, Mohammad Ghalambaz, Ishak Hashim, Ali J. Chamkha
Summary: This study investigates the two-phase flow and heat transfer of a Cu-Al2O3 water hybrid nanofluid in a wavy enclosure partially filled with a porous medium. Numerical simulations show that increasing the Darcy number and nanoparticle concentration have significant impacts on heat transfer enhancement.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Thermodynamics
Nirmalendu Biswas, U. K. Sarkar, Ali J. Chamkha, Nirmal Kumar Manna
Summary: This study investigated the thermal efficacy of half-sinusoidal nonuniform heating in a porous natural convection system using Cu-Al2O3/water hybrid nanofluid and magnetic field. The results demonstrated that this method can enhance and control the overall thermal performance effectively, showing promise for better heat transfer even in the presence of flow dampening effects like porous media and magnetic fields.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Mathematics
Bengisen Pekmen Geridonmez, Hakan F. Oztop
Summary: This study numerically investigated the two-dimensional, time-independent conjugate natural convection flow and entropy generation in three different cases. By considering the influence of different parameters, the convective heat transfer and total entropy generation in the fluid part were obtained in each case.
Article
Thermodynamics
Tahar Tayebi, Ali J. Chamkha
Summary: This study investigates the effects of local thermal non-equilibrium on heat natural convection features in a horizontal confocal elliptical annulus with a nanofluid-saturated porous sleeve covering the inner cylinder. The study computationally solves the heat and hydrodynamics equations under Darcy-Brinkman Forchheimer model for the porous region, analyzing the results based on different porous materials characteristics under LTNE condition. The study also represents contours of the spatial distribution of the LTNE sources within the porous sleeve region for the first time.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Nirmalendu Biswas, Nirmal K. Manna, Ali J. Chamkha
Summary: This study aims to demonstrate a method for enhancing heat transfer through porous media using a hybrid nanofluid of Cu-Al2O3/water during magnetohydrodynamic flow. By heating a square cavity at the bottom with different frequencies of half-sinusoidal function, along with a uniform magnetic field, the study confirmed that hybrid nanofluid flow with multi-frequency spatial heating can improve thermal performance significantly.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Physics, Multidisciplinary
Dipak Kumar Mandal, Nirmalendu Biswas, Nirmal K. Manna, Rama Subba Reddy Gorla, Ali J. Chamkha
Summary: This study investigates the hydrothermal characteristics of an Al2O3-Cu-H2O hybrid nanofluid saturated in a non-Darcian porous complex wavy enclosure under a uniform magnetic field. Numerical simulations show that increasing the amplitude of the undulation enhances heat transfer, but does not always promote the growth of flow strength. Flow intensity and heat transfer increase with the modified-Rayleigh number, while they decrease with the Darcy number and Hartmann number. The local distribution of heat transfer characteristics exhibits complex behavior depending on the amplitude of the undulations and dimensionless numbers.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2022)
Article
Physics, Multidisciplinary
S. Parthiban, V. Ramachandra Prasad
Summary: This article investigates the flow of incompressible magnetohydrodynamic hybrid nanofluid through a heated enclosure containing a non-Darcy porous medium. The study examines the influence of various parameters on temperature contours, streamlines, and Nusselt number distributions. The results reveal a linear relationship between Rayleigh number and Nusselt number, as well as the influence of Hartmann number on local Nusselt number trends.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Computer Science, Interdisciplinary Applications
Tahar Tayebi, Ali J. Chamkha, Hakan F. Oztop, Lynda Bouzeroura
Summary: This study conducted a comprehensive numerical analysis of the local thermal non-equilibrium effects in a horizontal elliptical porous annulus saturated with nanofluid using finite volume technique. The results indicated that different porous medium properties can influence the local thermal non-equilibrium effects.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Mathematics, Applied
Sameh E. Ahmed, A. Mahdy, Mohamed A. Mansour
Summary: This paper investigates the impact of Cattaneo-Christov heat flux on magnetohydrodynamic convective transport in irregular containers under the influence of thermal radiation. The study considers a slant magnetic field and flow domain, and the fluid used is a mixture of water and Al2O3-Cu hybrid nanoparticles. Various types of obstacles, including horizontal cold elliptic, vertical elliptic, and cross-section ellipsis, are examined. The results show that the location (0.75, 0.5) is optimal for flow rate and temperature gradients, and an increase in Cattaneo-Christov heat flux leads to higher fluid-phase average Nusselt number.
NONLINEAR ANALYSIS-MODELLING AND CONTROL
(2023)
Article
Mathematics, Interdisciplinary Applications
Hossam A. Nabwey, Ahmed M. Rashad, Amal M. A. EL-Hakiem, Sumayyah I. Alshber
Summary: This paper investigates the free convective flow of micropolar nanofluid through a solid sphere, taking into account the effects of Newtonian heating and magnetic field. The partial differential equations are solved numerically using a convenient transformation and the Runge-Kutta-Fehlberg method. The results show the influence of various parameters on the flow and heat transfer characteristics.
FRACTAL AND FRACTIONAL
(2022)
Article
Chemistry, Multidisciplinary
Ammar I. Alsabery, Tahar Tayebi, Ali S. Abosinnee, Zehba A. S. Raizah, Ali J. Chamkha, Ishak Hashim
Summary: This numerical study investigates thermo-free convection inside a cavity with corrugated walls filled with nanofluid. Results show that high Darcy number and low modified thermal conductivity ratio play important roles in local thermal non-equilibrium effects. Heat transfer rates through nanofluid and solid phases increase with undulation amplitude, Darcy number, and volume fraction of nanofluid, but a limit is found in the increase of heat transfer rate through the solid phase with the modified thermal ratio, particularly for high porosity values. Additionally, as porosity increases, heat transfer rates decline for low Darcy numbers but increase for high Darcy numbers.
Article
Chemistry, Multidisciplinary
Zahir Shah, Muhammad Rooman, Meshal Shutaywi
Summary: In this study, the energy transfer of Prandtl-Eyring nanofluid based on engine oil was investigated through a heated stretching surface. The nanofluid was prepared by adding copper (Cu) and titanium dioxide (TiO2) nanoparticles (NPs) to the engine oil. The flow mechanism and thermal transmission were observed through the heated slippery surface, and the influences of permeable surface, radiative flux, and heat absorption/generation were discussed. The accumulation of nanomaterials in the engine oil was found to reduce skin friction and accelerate energy transfer rate. The velocity field decelerated significantly with the porosity factor and volume fraction of NPs, while the temperature profile escalated significantly with these factors.
Article
Materials Science, Multidisciplinary
Milan K. Mondal, Dipak Kumar Mandal, Nirmalendu Biswas, Nirmal K. Manna, Khaled Al-Farhany, Ali J. Chamkha
Summary: This study investigates the convective heat transport dynamics of a hybrid nanofluid in a porous thermal system. The nonuniform heating significantly enhances heat transfer efficiency, and the frequency, amplitude, and offset temperature are crucial parameters affecting heat transfer.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Mechanics
M. S. Asmadi, R. Md. Kasmani, Z. Siri, H. Saleh
Summary: This study investigates natural convection heat transfer inside a U-shaped enclosure using copper-alumina/water hybrid nanofluid with various thermal profiles. The results show that constant heating profile has the best heat dissipation performance, while sinusoidal thermal profile performed the worst.
Article
Thermodynamics
Yuan Ma, Mohammad Mehdi Rashidi, Rasul Mohebbi, Zhigang Yang
Summary: This study numerically investigates the natural convection heat transfer of hybrid nanofluid (Ag-TiO2/water) in a complex cavity named Shamse knot shape, considering the effects of magnetic field, Rayleigh number, nanoparticle volume fraction, and hollow side length. The results show that the magnetic field has a negative impact on thermal performance, while the nanoparticle volume fraction significantly influences heat transfer efficiency. This research provides insights into the fluid flow and heat transfer characteristics influenced by various parameters in a complex cavity configuration.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2021)
Article
Computer Science, Interdisciplinary Applications
Rasul Mohebbi, Mohsen Babamir, Mohammad Mahdi Amooei, Yuan Ma
Summary: This paper investigates the natural convection of Ag-MgO/water micropolar hybrid nanofluid in a hollow hot square enclosure with four cold obstacles. The study uses the lattice Boltzmann method (LBM) to simulate the fluid flow and heat transfer performance under different Rayleigh numbers and nanoparticle volume fractions. The results show that the presence of secondary vortices is influenced by the aspect ratio, and the average Nusselt number increases with higher Rayleigh numbers, nanoparticle volume fractions, cold obstacle heights, and aspect ratios.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2022)
Article
Thermodynamics
Yuan Ma, Rasul Mohebbi, Zhigang Yang, Mikhail Sheremet
Summary: This research numerically analyzes the nanofluid natural convection inside a square enclosure with two L-shaped heaters using the lattice Boltzmann method. The study finds that the CGNP/water nanofluid is an efficient coolant and the Nusselt number increases with nanoparticle concentration and Rayleigh numbers. The flow pattern inside the enclosure is not affected by nanoparticle concentration, but is significantly influenced by Rayleigh number and heaters configuration.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2022)
Article
Physics, Multidisciplinary
Yuan Ma, Rasul Mohebbi
Summary: This study investigates natural convection of nanofluid inside a 2D cavity with different types of cold walls using Buongiorno's two-phase model. The equations are solved using a homemade hybrid Lattice Boltzmann-Finite Difference (LBM-FD) code. It is found that although the nanoparticle concentration is nearly uniform inside the cavity, there are apparent differences around the walls and vortices. The nanoparticles tend to have higher concentrations near the cold wall and lower concentrations adjacent to the hot wall. Additionally, the configuration of the cold walls significantly affects the flow pattern and temperature distribution.
WAVES IN RANDOM AND COMPLEX MEDIA
(2022)
Article
Thermodynamics
Peyman Soleymani, Yuan Ma, Ehsan Saffarifard, Rasul Mohebbi, Meisam Babaie, Nader Karimi, Seyfolah Saedodin
Summary: This paper numerically investigates the forced convection and entropy generation of Fe3O4 water nanofluid inside a cylindrical tube with porous hemisphere media. The effects of different parameters such as Reynolds number, porosity, solid volume fraction of nanofluid, friction factor, and entropy generation are discussed and analyzed. The results show that as the Reynolds number increases, the effect of inertial forces becomes more dominant, adding nanoparticles is more effective in enhancing heat transfer than increasing Hartmann's number, adding a magnetic field increases the friction factor, and adding nanoparticles reduces entropy generation.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Engineering, Multidisciplinary
Yuan Ma, Rasul Mohebbi, Mikhail Sheremet
Summary: This study investigates the liquid motion and energy transfer structures around a starfish-inspired cylinder by numerical simulations. The results show that the circulation patterns and energy transport characteristics are influenced by the tuber length, angle of attack, and Reynolds number.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rasul Mohebbi, Yuan Ma, Mohamad Hosein Shakeri
Summary: This study investigates the flow pattern and heat transfer characteristics inside an Islamic knot-shaped cavity using numerical simulation. The height and length of the obstacle are varied to analyze their effects. The results reveal that changes in the obstacle's dimensions significantly impact the flow and temperature fields. The small gap inside the cavity has minimal influence on the flow motion, while a small gap between the cold and hot surfaces enhances conduction heat transport. Two distinct flow and heat transfer situations are observed depending on the obstacle dimensions and Reynolds number. The second situation exhibits superior heat transfer performance, especially at higher Reynolds numbers.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2023)
Article
Environmental Sciences
Amin Amiri Delouei, Hasan Sajjadi, Goodarz Ahmadi
Summary: This study introduces ultrasonic vibration technology as an active method to enhance the thermal performance of water-cooling systems. Experimental results show that the thermal performance of ultrasonic vibrations can be improved by reducing the airflow rate and increasing the ultrasonic power. In addition to heat transfer improvement, ultrasonic waves are widely used for cleaning heat exchangers. This technology could provide a practical way for developing high-performance nanofluids-based computer cooling systems.
Article
Ecology
Amin Amiri Delouei, Hasan Sajjadi, Meysam Atashafrooz, Mohammad Hesari, Mohamed Bechir Ben Hamida, Ahmad Arabkoohsar
Summary: Utilizing ultrasonic excitation as an active method, this study experimentally investigated the effects of ultrasonic excitation on the heat transfer rate in a fin-and-flat tube heat exchanger. A comprehensive parameter study was conducted, and the results showed that reducing the flow rate, ambient temperature, and air passing velocity increased the effects of ultrasonic excitation. The highest heat transfer enhancement was 70.11%, measured at the lowest air passing velocity and ambient temperature with a Reynolds number 2166.
Article
Engineering, Mechanical
H. R. Davarzani, A. Ganjali, H. Sadeghi, R. Mohebbi
Summary: Storage tanks in refinery plants are arranged in group formations and wind is treated as a critical lateral load. This study investigates the impact of tank adjacency on wind pressure fluctuations. Wind tunnel tests were conducted for corrugated-plate tanks of varying rise-to-span ratios, and compared to numerical calculations using computational fluid dynamics. The adjacency effect of tanks in transverse and longitudinal directions were evaluated, and compared to non-adjacency scenarios. Results showed that the adjacency effect was below 10% at distances three and four times the diameter, respectively. Corrugated-plate tanks had smaller negative pressure coefficients compared to simple-plate tanks.
EXPERIMENTAL TECHNIQUES
(2023)
Article
Thermodynamics
Rasul Mohebbi, Yuan Ma
Summary: This research investigates the flow and heat transfer characteristics past three hot obstacles in a sudden expansion and contraction channel. The use of MWCNT-Fe3O4 Water hybrid nanofluid is employed to enhance heat transfer. The study explores the effects of Reynolds number, nanoparticle volume fraction, and different arrangements of discrete heat sources on flow pattern, temperature distribution, and heat transfer. Simulation is conducted using the lattice Boltzmann method.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Thermodynamics
Molka El Maghraoui, Rasul Mohebbi, Mikhail Sheremet, Majdi Hazami
Summary: In this study, the simulation of laminar mixed convection heat transfer in a 2-D inclined channel with conductive fins was conducted using the lattice Boltzmann method (LBM). The effects of inclination angle, geometrical parameters, and Richardson numbers on heat transfer and flow structure were investigated. The numerical model was validated by benchmark problems, and the results were analyzed in terms of isotherms, streamlines, average Nusselt number, and average temperature. The findings showed that the number, height, and width of fins had an impact on the heat transfer rate, and the Richardson number and inclination angle enhanced the average Nusselt number.
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
(2023)
Article
Environmental Sciences
Pedram Rezaei, Hamid Reza Moheghi, Amin Amiri Delouei
Summary: This paper focuses on the fabrication and optimization of a spiral-tube heat exchanger (STHE) to improve the heat transfer rate and efficiency of traditional instantaneous water heaters. The large number of exported instantaneous water heaters from Garman Gas Toos company has caused significant cost and credit reduction due to corrosion and leakage. The high energy consumption also justifies the need for a new STHE design. The main innovation of this research is the development of a smaller and more efficient heat exchanger by identifying the factors that affect its efficiency and heat transfer rate.
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
