International Journal of Numerical Methods for Heat & Fluid Flow
Issue(s) available: 281 – From Volume: 1 Issue: 1, to Volume: 34 Issue: 5
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Issue 7/8 2008 Selected papers from the 14th International Conference on Finite Elements in Flow Problems, Santa Fe, New Mexico, USA, March 2628, 2007
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Issue 6 2008
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Issue 5 2008
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Issue 3/4 2008 Selected papers from the International Scientific Conference on Numerical Heat Transfer 2005
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Issue 2 2008 Special Section Selected papers from the 4th Annual Heat Transfer, Fluid Dynamics and Thermodynamics HEFAT Conference 2005
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Issue 1 2008
Volume 17
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Volume 1
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Issue 1 1991
Optimisation of MHD flow within trapezoidal cavity containing hybrid nanofluid by artificial neural network
Arooj Tanveer, Sami Ul Haq, Muhammad Bilal Ashraf, Muhammad Usman Ashraf, R. NawazThis study aims to numerically investigate heat transport in a trapezoidal cavity using hybrid nanoparticles (Ag-$Al_2O_3$). Unlike previous studies, this one covers…
Effects of vibration on natural convection in a square inclined porous enclosure filled with Cu-water nanofluid
Hamza Sayyou, Jabrane Belabid, Hakan F. Öztop, Karam AllaliThe purpose of this paper is to investigate the effects of gravitational modulation on natural convection in a square inclined porous cavity filled by a fluid containing copper…
Turbo-RANS: straightforward and efficient Bayesian optimization of turbulence model coefficients
Ryley McConkey, Nikhila Kalia, Eugene Yee, Fue-Sang LienIndustrial simulations of turbulent flows often rely on Reynolds-averaged Navier-Stokes (RANS) turbulence models, which contain numerous closure coefficients that need to be…
Predicting heat transfer rate and system entropy based on combining artificial neural network with numerical simulation
Hillal M. ElshehabeyThe purpose of this paper is to present numerical simulations for magnetohydrodynamics natural convection of a nanofluid flow inside a cavity with an H-shaped obstacle based on…
Effect of catalyst distribution in the combustion catalytic layer on heat and mass transport characteristics of the microchannel reactor
Weiqiang Kong, Qiuwan Shen, Naibao Huang, Min Yan, Shian LiThe purpose of this study is to investigate the effect of catalyst distribution in the combustion catalytic layer on heat and mass transport characteristics of the auto-thermal…
Prediction of the minimum fluidization velocity of different biomass types by artificial neural networks and empirical correlations
Thenysson Matos, Maisa Tonon Bitti Perazzini, Hugo PerazziniThis paper aims to analyze the performance of artificial neural networks with filling methods in predicting the minimum fluidization velocity of different biomass types for…
Efficient modeling of liquid splashing via graph neural networks with adaptive filter and aggregator fusion
Jinyao Nan, Pingfa Feng, Jie Xu, Feng FengThe purpose of this study is to advance the computational modeling of liquid splashing dynamics, while balancing simulation accuracy and computational efficiency, a duality often…
Honeycomb-configured dissipative nanofluid flow within a squeezed channel with entropy generation: regression and numerical evaluations
Syed Modassir Hussain, Rohit Sharma, Manoj Kumar Mishra, Jitendra Kumar SinghNanosized honeycomb-configured materials are used in modern technology, thermal science and chemical engineering due to their high ultra thermic relevance. This study aims to…
Phase transition of multiple encapsulated PCMs in a U-shaped channel under MHD with ternary nanofluid
Fatih Selimefendigil, Hakan F. OztopMultiple encapsulated phase change materials (PCMs) are used in a wide range of applications, including convective drying, electronic cooling, waste heat recovery and air…
On the extension of a Riemann solver for RANS simulations
Axel Buck, Christian MundtReynolds-averaged Navier–Stokes (RANS) models often perform poorly in shock/turbulence interaction regions, resulting in excessive wall heat load and incorrect representation of…
AI based optimal analysis of electro-osmotic peristaltic motion of non-Newtonian fluid with chemical reaction using artificial neural networks and response surface methodology
Ahmed Zeeshan, Zaheer Asghar, Amad ur RehamanThe present work is devoted to investigating the sensitivity analysis of the electroosmotic peristaltic motion of non-Newtonian Casson fluid with the effect of the chemical…
A modified Green-Naghdi fractional order model for analyzing thermoelectric MHD
Mohamed M. Hendy, Magdy A. EzzatWhereas, the classical Green-Naghdi Type II (GN-II) model struggles to accurately represent the thermo-mechanical behavior of thermoelectric MHD due to its inability to account…
Investigating embedded data distribution strategy on reconstruction accuracy of flow field around the crosswind-affected train based on physics-informed neural networks
Guang-Zhi Zeng, Zheng-Wei Chen, Yi-Qing Ni, En-Ze RuiPhysics-informed neural networks (PINNs) have become a new tendency in flow simulation, because of their self-advantage of integrating both physical and monitored information of…
A neural based modeling approach for predicting effective thermal conductivity of brewer’s spent grain
Amanda de Oliveira e Silva, Alice Leonel, Maisa Tonon Bitti Perazzini, Hugo PerazziniBrewer's spent grain (BSG) is the main by-product of the brewing industry, holding significant potential for biomass applications. The purpose of this paper was to determine the…
Permeability estimation for deformable porous media with convolutional neural network
Kunpeng Shi, Guodong Jin, Weichao Yan, Huilin XingAccurately evaluating fluid flow behaviors and determining permeability for deforming porous media is time-consuming and remains challenging. This paper aims to propose a novel…
Constraint-based analysis of heat transport and irreversibility in magnetic nanofluidic thermal systems
Nirmal K. Manna, Abhinav Saha, Nirmalendu Biswas, Koushik GhoshThis paper aims to investigate the thermal performance of equivalent square and circular thermal systems and compare the heat transport and irreversibility of magnetohydrodynamic…
The simulation of droplet impact on liquid film evaporation in horizontal falling film evaporator based on smoothed particle hydrodynamics
Mengyao Fan, Xiaojing Ma, Lin Li, Xinpeng Xiao, Can ChengIn this paper, the complex flow evaporation process of droplet impact on the liquid film in a horizontal falling film evaporator is numerically studied based on smoothed particle…
Solid–liquid phase transition simulated by the lattice Boltzmann model: from pore scale to representative elementary volume scale
Dong Li, Yu Zhou, Zhan-Wei Cao, Xin Chen, Jia-Peng DaiThis paper aims to establish a lattice Boltzmann (LB) method for solid-liquid phase transition (SLPT) from the pore scale to the representative elementary volume (REV) scale. By…
Unsteady slip flow of special second-grade fluid induced by Fe3O4 particles past a movable sheet with magnetic and nonlinear heat source/sink
Umair Khan, Aurang Zaib, Anuar Ishak, El-Sayed M. Sherif, Piotr WróblewskiFerrofluids are aqueous or non-aqueous solutions with colloidal particles of iron oxide nanoparticles with high magnetic characteristics. Their magnetic characteristics enable…
Entropy generation analysis of microrotating Casson’s nanofluid with Darcy–Forchheimer porous media using a neural computing based on Levenberg–Marquardt algorithm
Manjeet Kumar, Pradeep Kaswan, Manjeet KumariThe purpose of this paper is to showcase the utilization of the magnetohydrodynamics-microrotating Casson’s nanofluid flow model (MHD-MRCNFM) in examining the impact of an…
A physics-driven and machine learning-based digital twinning approach to transient thermal systems
Armando Di Meglio, Nicola Massarotti, Perumal NithiarasuIn this study, the authors propose a novel digital twinning approach specifically designed for controlling transient thermal systems. The purpose of this study is to harness the…
A new exploration on passive control of transonic flow over a backward-facing step
Xiang Shen, Kai Zeng, Liming Yang, Chengyong Zhu, Laurent DalaThis paper aims to study passive control techniques for transonic flow over a backward-facing step (BFS) using square-lobed trailing edges. The study investigates the efficacy of…
Deep learning algorithms for temperature prediction in two-phase immersion-cooled data centres
Pratheek Suresh, Balaji ChakravarthyAs data centres grow in size and complexity, traditional air-cooling methods are becoming less effective and more expensive. Immersion cooling, where servers are submerged in a…
Aerodynamic performance increase over an A320 morphing wing in transonic regime by numerical simulation at high Reynolds number
Jacques Abou Khalil, César Jiménez Navarro, Rami El Jeaid, Abderahmane Marouf, Rajaa El Akoury, Yannick Hoarau, Jean-François Rouchon, Marianna BrazaThis study aims to investigate the morphing concepts able to manipulate the dynamics of the downstream unsteadiness in the separated shear layers and, in the wake, be able to…
Effect of hot air inclined jet impingement to container for controlling of energy storage of PCM: experimental and numerical investigation
Hakan F. Oztop, Burak Kiyak, Ishak Gökhan AksoyThis study aims to focus on understanding how different jet angles and Reynolds numbers influence the phase change materials’ (PCMs) melting process and their capacity to store…
Swirl-induced motion prediction with physics-guided machine learning utilizing spatiotemporal flow field structure
Ziming Zhou, Fengnian Zhao, David HungHigher energy conversion efficiency of internal combustion engine can be achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) engine…
Effect of typical arch structure on slipstream and wake flow of 600 km/h maglev train
Tong-Tong Lin, Ming-Zhi Yang, Lei Zhang, Tian-Tian Wang, Yu Tao, Sha ZhongThe aerodynamic differences between the head car (HC) and tail car (TC) of a high-speed maglev train are significant, resulting in control difficulties and safety challenges in…
Aerodynamic force by Lamb vector integrals in unsteady compressible flows
Mauro Minervino, Renato TognacciniThis study aims to propose an aerodynamic force decomposition which, for the first time, allows for thrust/drag bookkeeping in two-dimensional viscous and unsteady flows. Lamb…
Research on aerodynamic characteristics of vehicle platoon under crosswind conditions based on Ahmed body
Jianbin Luo, Mingsen Li, Ke Mi, Zhida Liang, Xiaofeng Chen, Lei Ye, Yuanhao Tie, Song Xu, Haiguo Zhang, Guiguang Chen, Chunmei JiangThe purpose of this paper is to study the aerodynamic characteristics of Ahmed body in longitudinal and lateral platoons under crosswind by computational fluid dynamics…
A priori tests of turbulence models for compressible flows
Luca Sciacovelli, Aron Cannici, Donatella Passiatore, Paola CinnellaThe purpose of the paper is to analyse the performances of closures and compressibility corrections classically used in turbulence models when applied to highly-compressible…
Two-phase flow regime identification using multi-method feature extraction and explainable kernel Fisher discriminant analysis
Umair Khan, William Pao, Karl Ezra Salgado Pilario, Nabihah Sallih, Muhammad Rehan KhanIdentifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime…
Prediction of multi-physics field distribution on gas turbine endwall using an optimized surrogate model with various deep learning frames
Weixin Zhang, Zhao Liu, Yu Song, Yixuan Lu, Zhenping FengTo improve the speed and accuracy of turbine blade film cooling design process, the most advanced deep learning models were introduced into this study to investigate the most…
Moving wall effect on normal shock wave–turbulent boundary layer interaction on an airfoil
Oskar Szulc, Piotr Doerffer, Pawel Flaszynski, Marianna BrazaThis paper aims to describe a proposal for an innovative method of normal shock wave–turbulent boundary layer interaction (SBLI) and shock-induced separation control.
On the estimation of the angle of attack for vertical axis wind turbines
Samir Ouchene, Arezki Smaili, Hachimi FellouahThis paper aims to investigate the problem of estimating the angle of attack (AoA) and relative velocity for vertical axis wind turbine (VAWT) blades from computational fluid…
Aeroballistic optimization of long-range guided ammunition
Simon Bagy, Michel Libsig, Bastien Martinez, Baptiste MasseThis paper aims to describe the use of optimization approaches to increase the range of near-future howitzer ammunition.
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0961-5539Online date, start – end:
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Emerald Publishing LimitedOpen Access:
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- Prof Roland Lewis