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“Engineering Fluid Dynamics 2018”. The topic of engineering fluid dynamics includes both experimental as well as computational studies. Of special interest were submissions from the fields of mechanical, chemical, marine, safety, and energy engineering. We welcomed both original research articles as well as review articles. After one year, 28 papers were submitted and 14 were accepted for publication. The average processing time was 37.91 days. The authors had the following geographical distribution: China (9); Korea (3); Spain (1); and India (1). Papers covered a wide range of topics, including analysis of fans, turbines, fires in tunnels, vortex generators, deep sea mining, as well as pumps.
fluid structure interaction (FSI) --- numerical methods --- axial gap --- impeller --- radiation noise --- natural ventilation --- ventilation performance --- Computational Fluid Dynamics (CFD) --- experimental research --- hot streak --- disc thickness --- fire --- circumferential groove casing treatment --- blade wrap angle --- sweep and lean --- computational fluid dynamics (CFD) --- OpenFOAM --- gas turbine --- fire propagation --- disc spacing distance --- hydraulic collecting --- thermosyphon --- wind tunnel --- flow control --- source term --- leading edge --- flow around cylinder --- vortex generators --- plug-holing --- noise spectrum --- CGCT-blade integrated optimization --- dimensional analysis --- deep sea mining --- heat transfer --- abnormal blade installation angle --- axial fan --- rotating stall --- optimized design --- orthogonal test --- fluid dynamics --- simulation and modeling --- aerodynamic noise --- centrifugal pump --- suction flow field --- two-stage axial fan --- cavitation inception --- evaporation and condensation --- numerical simulation --- CFD simulation --- aspect ratio --- evacuation --- tunnel slope --- Tesla turbine --- vortex induced vibration (VIV) ratio --- global optimization --- volume of fluid --- blade exit angle --- acoustic energy --- tunnel vehicle fire --- multiphase flow --- distribution characteristic --- unsteady heat release rate --- hydrodynamic response --- manganese nodules exploitation --- isentropic efficiency
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This book presents numerical, experimental, and analytical analysis of convective and radiative heat transfer in various engineering and natural systems, including transport phenomena in heat exchangers and furnaces, cooling of electronic heat-generating elements, and thin-film flows in various technical systems. It is well known that such heat transfer mechanisms are dominant in the systems under consideration. Therefore, in-depth study of these regimes is vital for both the growth of industry and the preservation of natural resources. The authors included in this book present insightful and provocative studies on convective and radiative heat transfer using modern analytical techniques. This book will be very useful for academics, engineers, and advanced students.
Research & information: general --- mixed convection --- nanofluids --- thermal radiation --- heat source/sink --- dual solutions --- stability analysis --- convection --- local heat-generating element --- surface radiation --- Ostrogradsky number --- finite difference method --- nanofluid --- stagnation sheet --- three-dimensional flow --- slip condition --- vortex --- heat --- dimple --- channel --- simulation --- efficiency of annular fin --- analytical and numerical method --- computational fluid dynamics --- fin base temperature --- non-Newtonian fluid --- natural convection --- heat source of volumetric heat generation --- PCMs --- storage tank --- photovoltaic --- computational fluid dynamics (CFD) --- finite elements --- turbulent bubbly flow --- sudden pipe expansion --- measurements --- modeling --- wall friction --- heat transfer modification --- heat transfer --- free convection --- cylinder --- tube array --- numerical investigation --- semi-analytical model --- vapor --- liquid --- bubble --- two-phase heat transfer --- adiabatic calorimetry --- numerical simulation --- heat capacity --- finite-element method --- thin film --- boundary layer --- thermocapillarity --- triple solutions --- Carreau fluid --- tempering --- heat treatment --- electric furnace --- CFD simulation --- thermal efficiency
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This book presents numerical, experimental, and analytical analysis of convective and radiative heat transfer in various engineering and natural systems, including transport phenomena in heat exchangers and furnaces, cooling of electronic heat-generating elements, and thin-film flows in various technical systems. It is well known that such heat transfer mechanisms are dominant in the systems under consideration. Therefore, in-depth study of these regimes is vital for both the growth of industry and the preservation of natural resources. The authors included in this book present insightful and provocative studies on convective and radiative heat transfer using modern analytical techniques. This book will be very useful for academics, engineers, and advanced students.
mixed convection --- nanofluids --- thermal radiation --- heat source/sink --- dual solutions --- stability analysis --- convection --- local heat-generating element --- surface radiation --- Ostrogradsky number --- finite difference method --- nanofluid --- stagnation sheet --- three-dimensional flow --- slip condition --- vortex --- heat --- dimple --- channel --- simulation --- efficiency of annular fin --- analytical and numerical method --- computational fluid dynamics --- fin base temperature --- non-Newtonian fluid --- natural convection --- heat source of volumetric heat generation --- PCMs --- storage tank --- photovoltaic --- computational fluid dynamics (CFD) --- finite elements --- turbulent bubbly flow --- sudden pipe expansion --- measurements --- modeling --- wall friction --- heat transfer modification --- heat transfer --- free convection --- cylinder --- tube array --- numerical investigation --- semi-analytical model --- vapor --- liquid --- bubble --- two-phase heat transfer --- adiabatic calorimetry --- numerical simulation --- heat capacity --- finite-element method --- thin film --- boundary layer --- thermocapillarity --- triple solutions --- Carreau fluid --- tempering --- heat treatment --- electric furnace --- CFD simulation --- thermal efficiency
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This book presents numerical, experimental, and analytical analysis of convective and radiative heat transfer in various engineering and natural systems, including transport phenomena in heat exchangers and furnaces, cooling of electronic heat-generating elements, and thin-film flows in various technical systems. It is well known that such heat transfer mechanisms are dominant in the systems under consideration. Therefore, in-depth study of these regimes is vital for both the growth of industry and the preservation of natural resources. The authors included in this book present insightful and provocative studies on convective and radiative heat transfer using modern analytical techniques. This book will be very useful for academics, engineers, and advanced students.
Research & information: general --- mixed convection --- nanofluids --- thermal radiation --- heat source/sink --- dual solutions --- stability analysis --- convection --- local heat-generating element --- surface radiation --- Ostrogradsky number --- finite difference method --- nanofluid --- stagnation sheet --- three-dimensional flow --- slip condition --- vortex --- heat --- dimple --- channel --- simulation --- efficiency of annular fin --- analytical and numerical method --- computational fluid dynamics --- fin base temperature --- non-Newtonian fluid --- natural convection --- heat source of volumetric heat generation --- PCMs --- storage tank --- photovoltaic --- computational fluid dynamics (CFD) --- finite elements --- turbulent bubbly flow --- sudden pipe expansion --- measurements --- modeling --- wall friction --- heat transfer modification --- heat transfer --- free convection --- cylinder --- tube array --- numerical investigation --- semi-analytical model --- vapor --- liquid --- bubble --- two-phase heat transfer --- adiabatic calorimetry --- numerical simulation --- heat capacity --- finite-element method --- thin film --- boundary layer --- thermocapillarity --- triple solutions --- Carreau fluid --- tempering --- heat treatment --- electric furnace --- CFD simulation --- thermal efficiency
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In recent decades, the field of computational fluid dynamics has made significant advances in enabling advanced computing architectures to understand many phenomena in biological, geophysical, and engineering fluid flows. Almost all research areas in fluids use numerical methods at various complexities: from molecular to continuum descriptions; from laminar to turbulent regimes; from low speed to hypersonic, from stencil-based computations to meshless approaches; from local basis functions to global expansions, as well as from first-order approximation to high-order with spectral accuracy. Many successful efforts have been put forth in dynamic adaptation strategies, e.g., adaptive mesh refinement and multiresolution representation approaches. Furthermore, with recent advances in artificial intelligence and heterogeneous computing, the broader fluids community has gained the momentum to revisit and investigate such practices. This Special Issue, containing a collection of 13 papers, brings together researchers to address recent numerical advances in fluid mechanics.
History of engineering & technology --- fluid–structure interaction --- monolithic method --- Updated Lagrangian --- Arbitrary Lagrangian Eulerian --- computational aerodynamics --- Kutta condition --- compressible flow --- stream function --- non-linear Schrödinger equation --- cubic B-spline basis functions --- Galerkin method --- pressure tunnel --- hydraulic fracturing --- transient flow --- finite element method (FEM) --- Abaqus Finite Element Analysis (FEA) --- computational fluid dynamics --- RANS closures --- uncertainty quantification --- Reynolds stress tensor --- backward-facing step --- OpenFOAM --- large eddy simulations (LES) --- shock capturing --- adaptive filter --- explicit filtering --- jet --- proper orthogonal decomposition --- coherent structures --- turbulence --- vector flow fields --- PIV --- buildings --- urban area --- pollution dispersion --- Large Eddy Simulation (LES) --- multiple drop impact --- computational fluid dynamics (CFD) simulation --- volume-of-fluid --- crater dimensions --- vorticity --- transient incompressible Navier-Stokes --- meshless point collocation method --- stream function-vorticity formulation --- strong form --- explicit time integration --- wall layer model --- LES --- separated flow --- body fitted --- immersed boundary --- reduced order modeling --- Kolmogorov n-width --- Galerkin projection --- turbulent flows --- reduced order model --- closure model --- variational multiscale method --- deep residual neural network --- internal combustion engines --- liquid-cooling system --- heat transfer --- n/a --- fluid-structure interaction --- non-linear Schrödinger equation
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In recent decades, the field of computational fluid dynamics has made significant advances in enabling advanced computing architectures to understand many phenomena in biological, geophysical, and engineering fluid flows. Almost all research areas in fluids use numerical methods at various complexities: from molecular to continuum descriptions; from laminar to turbulent regimes; from low speed to hypersonic, from stencil-based computations to meshless approaches; from local basis functions to global expansions, as well as from first-order approximation to high-order with spectral accuracy. Many successful efforts have been put forth in dynamic adaptation strategies, e.g., adaptive mesh refinement and multiresolution representation approaches. Furthermore, with recent advances in artificial intelligence and heterogeneous computing, the broader fluids community has gained the momentum to revisit and investigate such practices. This Special Issue, containing a collection of 13 papers, brings together researchers to address recent numerical advances in fluid mechanics.
fluid–structure interaction --- monolithic method --- Updated Lagrangian --- Arbitrary Lagrangian Eulerian --- computational aerodynamics --- Kutta condition --- compressible flow --- stream function --- non-linear Schrödinger equation --- cubic B-spline basis functions --- Galerkin method --- pressure tunnel --- hydraulic fracturing --- transient flow --- finite element method (FEM) --- Abaqus Finite Element Analysis (FEA) --- computational fluid dynamics --- RANS closures --- uncertainty quantification --- Reynolds stress tensor --- backward-facing step --- OpenFOAM --- large eddy simulations (LES) --- shock capturing --- adaptive filter --- explicit filtering --- jet --- proper orthogonal decomposition --- coherent structures --- turbulence --- vector flow fields --- PIV --- buildings --- urban area --- pollution dispersion --- Large Eddy Simulation (LES) --- multiple drop impact --- computational fluid dynamics (CFD) simulation --- volume-of-fluid --- crater dimensions --- vorticity --- transient incompressible Navier-Stokes --- meshless point collocation method --- stream function-vorticity formulation --- strong form --- explicit time integration --- wall layer model --- LES --- separated flow --- body fitted --- immersed boundary --- reduced order modeling --- Kolmogorov n-width --- Galerkin projection --- turbulent flows --- reduced order model --- closure model --- variational multiscale method --- deep residual neural network --- internal combustion engines --- liquid-cooling system --- heat transfer --- n/a --- fluid-structure interaction --- non-linear Schrödinger equation
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In recent decades, the field of computational fluid dynamics has made significant advances in enabling advanced computing architectures to understand many phenomena in biological, geophysical, and engineering fluid flows. Almost all research areas in fluids use numerical methods at various complexities: from molecular to continuum descriptions; from laminar to turbulent regimes; from low speed to hypersonic, from stencil-based computations to meshless approaches; from local basis functions to global expansions, as well as from first-order approximation to high-order with spectral accuracy. Many successful efforts have been put forth in dynamic adaptation strategies, e.g., adaptive mesh refinement and multiresolution representation approaches. Furthermore, with recent advances in artificial intelligence and heterogeneous computing, the broader fluids community has gained the momentum to revisit and investigate such practices. This Special Issue, containing a collection of 13 papers, brings together researchers to address recent numerical advances in fluid mechanics.
History of engineering & technology --- fluid-structure interaction --- monolithic method --- Updated Lagrangian --- Arbitrary Lagrangian Eulerian --- computational aerodynamics --- Kutta condition --- compressible flow --- stream function --- non-linear Schrödinger equation --- cubic B-spline basis functions --- Galerkin method --- pressure tunnel --- hydraulic fracturing --- transient flow --- finite element method (FEM) --- Abaqus Finite Element Analysis (FEA) --- computational fluid dynamics --- RANS closures --- uncertainty quantification --- Reynolds stress tensor --- backward-facing step --- OpenFOAM --- large eddy simulations (LES) --- shock capturing --- adaptive filter --- explicit filtering --- jet --- proper orthogonal decomposition --- coherent structures --- turbulence --- vector flow fields --- PIV --- buildings --- urban area --- pollution dispersion --- Large Eddy Simulation (LES) --- multiple drop impact --- computational fluid dynamics (CFD) simulation --- volume-of-fluid --- crater dimensions --- vorticity --- transient incompressible Navier-Stokes --- meshless point collocation method --- stream function-vorticity formulation --- strong form --- explicit time integration --- wall layer model --- LES --- separated flow --- body fitted --- immersed boundary --- reduced order modeling --- Kolmogorov n-width --- Galerkin projection --- turbulent flows --- reduced order model --- closure model --- variational multiscale method --- deep residual neural network --- internal combustion engines --- liquid-cooling system --- heat transfer
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