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Dissertation
Master thesis : Speeding Up Simulation-Driven Design for a High-Speed Planing Boat
Authors: --- --- ---
Year: 2022 Publisher: Liège Université de Liège (ULiège)

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Abstract

In simulation-driven designs (SDD), the design optimization is frequently performed by standard Design of Experiment (DOE) or by using deterministic optimization strategies. This requires many designs to be tested depending upon the number of design variables present in the parametric model. This method is often too time-consuming or too expensive, mostly due to the complexity of industrial applications. Often high computational resources are required to determine the objective function. In this thesis, the idea is to present different methods for the faster turn-around times of SDD and apply it to the design and optimization of planing hull. The objective for the optimization is to minimize the overall resistance for the hull. The motion and forces acting on the hull are determined by Computational Fluid Dynamics (CFD), using Simcenter STAR-CCM+, the results of which are validated against experimental data. The difficulties of numerical modelling of planing hull includes the mesh deformation due to the large motion of the hull and the challenge of possible numerical ventilation due to inappropriate mesh near the boundary. The former is overcome by using a dynamic overset grid and the latter by using VOF-Slip velocity method. A thorough grid dependency study was undertaken in order to identify the best compromise between simulation time and accuracy. A fully parametric model was built in process integration and design optimization (PIDO) environment CAESES, and the design optimization is carried out by connecting it to the CFD solver in batch mode. The complete process of design optimization is automated to test several designs. The number of designs to be tested are vastly reduced by dimensionality reduction of the design space using Karhunen-Loeve Expansion (KLE), a dedicated Principal Component Analysis (PCA). The tested designs are used to train and employ a Surrogate Model, which produces optimized design variants based on the previous designs data. The comparison of different strategies against the conventional SDD method is shown, for the time required to get an optimized design along with the subsequent quality of obtained result. It is presented that by using AI-based optimization strategies and appropriate CFD simulation settings, the method of SDD can be made faster by a considerable amount of time.


Book
Computational Fluid Dynamics (CFD) of Chemical Processes
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In this Special Issue, one review paper highlights the necessity of multiscale CFD, coupling micro- and macro-scales, for exchanging information at the interface of the two scales. Four research papers investigate the hydrodynamics, heat transfer, and chemical reactions of various processes using Eulerian CFD modeling. CFD models are attractive for industrial applications. However, substantial efforts in physical modeling and numerical implementation are still required before their widespread implementation.


Book
Computational Fluid Dynamics (CFD) of Chemical Processes
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In this Special Issue, one review paper highlights the necessity of multiscale CFD, coupling micro- and macro-scales, for exchanging information at the interface of the two scales. Four research papers investigate the hydrodynamics, heat transfer, and chemical reactions of various processes using Eulerian CFD modeling. CFD models are attractive for industrial applications. However, substantial efforts in physical modeling and numerical implementation are still required before their widespread implementation.


Book
Computational Fluid Dynamics (CFD) of Chemical Processes
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In this Special Issue, one review paper highlights the necessity of multiscale CFD, coupling micro- and macro-scales, for exchanging information at the interface of the two scales. Four research papers investigate the hydrodynamics, heat transfer, and chemical reactions of various processes using Eulerian CFD modeling. CFD models are attractive for industrial applications. However, substantial efforts in physical modeling and numerical implementation are still required before their widespread implementation.


Book
Advances in Experimental and Computational Rheology
Authors: ---
ISBN: 3039213342 3039213334 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Rheology, defined as the science of deformation and flow of matter, is a multidisciplinary scientific field, covering both fundamental and applied approaches. The study of rheology includes both experimental and computational methods, which are not mutually exclusive. Its practical importance embraces many processes, from daily life, like preparing mayonnaise or spread an ointment or shampooing, to industrial processes like polymer processing and oil extraction, among several others. Practical applications include also formulations and product development. This Special Issue aims to present the latest advances in the fields of experimental and computational rheology applied to the most diverse classes of materials (foods, cosmetics, pharmaceuticals, polymers and biopolymers, multiphasic systems and composites) and processes. This Special Issue will comprise, not only original research papers, but also review articles.


Book
Engineering Fluid Dynamics 2018
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ISBN: 3039281135 3039281127 Year: 2020 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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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.

Keywords

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


Book
CFD Modelling and Simulation of Water Turbines
Authors: ---
ISBN: 3036560165 3036560157 Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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The design and development of water turbines requires accurate methods for performance prediction. Numerical methods and modelling are becoming increasingly important tools to achieve better designs and more efficient turbines, reducing the time required in physical model testing. This book is focused on applying numerical simulations and models for water turbines to predict tool their performance. In this Special Issue, the different contributions of this book are classified into three state-of-the-art Topics: discussing the modelling of pump-turbines, the simulation of horizontal and vertical axis turbines for hydrokinetic applications and the modelling of hydropower plants. All the contributions to this book demonstrate the importance of the modelling and simulation of water turbines for hydropower energy. This new generation of models and simulations will play a major role in the global energy transition and energy crisis, and, of course, in the mitigation of climate change.


Book
Computational Methods for Polymers
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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This book presents recent advances in computational methods for polymers. It covers multiscale modeling of polymers, polymerization reactions, and polymerization processes as well as control, monitoring, and estimation methods applied to polymerization processes. It presents theoretical insights gained from multiscale modeling validated with exprimental measurements. The book consolidates new computational tools and methods developed by academic researchers in this area and presents them systematically. The book is useful for graduate students, researchers, and process engineers and managers.

Keywords

History of engineering & technology --- rapid tooling --- additive manufacturing --- failure modes --- injection molding --- modeling --- olefin --- gas phase --- kinetics --- hyperbranched --- Monte Carlo simulation --- radius of gyration --- span length --- continuous stirred-tank reactor --- data-driven parameter estimation --- retrospective cost model refinement algorithm --- global sensitivity analysis --- polyolefin synthesis --- olefin copolymerization --- reactivity ratios --- electronic effects --- salan catalysts --- post-metallocene --- DFT --- insertion kinetics --- olefin capture --- PolyEThyleneAmidoAmine (PETAA) dendrimer --- molecular topological indices --- Eccentric connectivity index --- copolymerization --- design of experiments --- reactivity ratio estimation --- terpolymerization --- PLP-SEC --- n-butyl acrylate --- degree of branching --- nanostar dendrimer --- irregularity measure --- complexity of structure --- NS1[p] --- NS2[p] --- NS3[p] --- subspace identification --- polymer processing --- model predictive control --- rotational molding --- batch process modeling and control --- method of moments --- free-radical polymerization --- methyl acrylate --- thermal polymerization --- high-temperature polymerization --- molecular graph --- irregularity indices --- dendrimers --- density functional theory --- inhibitors --- phenolic --- stable nitroxide radicals --- styrene --- polymerization --- RAFT polymerization --- multi-rate observer --- nonlinear sampled-data system --- measurements with delay --- parameter fitting --- droplet impact --- viscoelasticity --- volume of fluid method --- process intensification --- operability --- modularity --- process modeling and simulation --- rapid tooling --- additive manufacturing --- failure modes --- injection molding --- modeling --- olefin --- gas phase --- kinetics --- hyperbranched --- Monte Carlo simulation --- radius of gyration --- span length --- continuous stirred-tank reactor --- data-driven parameter estimation --- retrospective cost model refinement algorithm --- global sensitivity analysis --- polyolefin synthesis --- olefin copolymerization --- reactivity ratios --- electronic effects --- salan catalysts --- post-metallocene --- DFT --- insertion kinetics --- olefin capture --- PolyEThyleneAmidoAmine (PETAA) dendrimer --- molecular topological indices --- Eccentric connectivity index --- copolymerization --- design of experiments --- reactivity ratio estimation --- terpolymerization --- PLP-SEC --- n-butyl acrylate --- degree of branching --- nanostar dendrimer --- irregularity measure --- complexity of structure --- NS1[p] --- NS2[p] --- NS3[p] --- subspace identification --- polymer processing --- model predictive control --- rotational molding --- batch process modeling and control --- method of moments --- free-radical polymerization --- methyl acrylate --- thermal polymerization --- high-temperature polymerization --- molecular graph --- irregularity indices --- dendrimers --- density functional theory --- inhibitors --- phenolic --- stable nitroxide radicals --- styrene --- polymerization --- RAFT polymerization --- multi-rate observer --- nonlinear sampled-data system --- measurements with delay --- parameter fitting --- droplet impact --- viscoelasticity --- volume of fluid method --- process intensification --- operability --- modularity --- process modeling and simulation


Book
Recent Numerical Advances in Fluid Mechanics
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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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.

Keywords

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 --- 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


Book
Non-Newtonian Microfluidics
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Microfluidics has seen a remarkable growth over recent decades, with its extensive applications in engineering, medicine, biology, chemistry, etc. Many of these real applications of microfluidics involve the handling of complex fluids, such as whole blood, protein solutions, and polymeric solutions, which exhibit non-Newtonian characteristics—specifically viscoelasticity. The elasticity of the non-Newtonian fluids induces intriguing phenomena, such as elastic instability and turbulence, even at extremely low Reynolds numbers. This is the consequence of the nonlinear nature of the rheological constitutive equations. The nonlinear characteristic of non-Newtonian fluids can dramatically change the flow dynamics, and is useful to enhance mixing at the microscale. Electrokinetics in the context of non-Newtonian fluids are also of significant importance, with their potential applications in micromixing enhancement and bio-particles manipulation and separation. In this Special Issue, we welcomed research papers, and review articles related to the applications, fundamentals, design, and the underlying mechanisms of non-Newtonian microfluidics, including discussions, analytical papers, and numerical and/or experimental analyses.

Keywords

Technology: general issues --- History of engineering & technology --- microfluidics --- Janus droplet --- OpenFOAM --- volume of fluid method --- adaptive dynamic mesh refinement --- shear-thinning fluid --- electroosmosis --- elastic instability --- non-Newtonian fluid --- Oldroyd-B model --- electroosmotic flow --- micromixing performance --- heterogeneous surface potential --- wall obstacle --- power-law fluid --- bvp4c --- RK4 technique --- brownian motion --- porous rotating disk --- maxwell nanofluid --- thermally radiative fluid --- von karman transformation --- hybrid nanofluid --- entropy generation --- induced magnetic field --- convective boundary conditions --- thermal radiations --- stretching disk --- viscoelastic material --- group similarity analysis --- thermal relaxation time --- parametric investigation --- variable magnetic field --- error analysis --- viscoelastic fluid --- microfluid --- direction-dependent --- viscous dissipation --- chemical reaction --- finite element procedure --- hybrid nanoparticles --- heat and mass transfer rates --- joule heating --- tri-hybrid nanoparticles --- Soret and Dufour effect --- boundary layer analysis --- finite element scheme --- heat generation --- constructive and destructive chemical reaction --- particle separation --- viscoelastic flow --- inertial focusing --- spiral channel --- transient two-layer flow --- power-law nanofluid --- heat transfer --- Laplace transform --- nanoparticle volume fraction --- effective thermal conductivity --- fractal scaling --- Monte Carlo --- porous media --- power-law model --- bioheat equation --- human body --- droplet deformation --- viscoelasticity --- wettable surface --- dielectric field --- droplet migration --- wettability gradient --- microfluidics --- Janus droplet --- OpenFOAM --- volume of fluid method --- adaptive dynamic mesh refinement --- shear-thinning fluid --- electroosmosis --- elastic instability --- non-Newtonian fluid --- Oldroyd-B model --- electroosmotic flow --- micromixing performance --- heterogeneous surface potential --- wall obstacle --- power-law fluid --- bvp4c --- RK4 technique --- brownian motion --- porous rotating disk --- maxwell nanofluid --- thermally radiative fluid --- von karman transformation --- hybrid nanofluid --- entropy generation --- induced magnetic field --- convective boundary conditions --- thermal radiations --- stretching disk --- viscoelastic material --- group similarity analysis --- thermal relaxation time --- parametric investigation --- variable magnetic field --- error analysis --- viscoelastic fluid --- microfluid --- direction-dependent --- viscous dissipation --- chemical reaction --- finite element procedure --- hybrid nanoparticles --- heat and mass transfer rates --- joule heating --- tri-hybrid nanoparticles --- Soret and Dufour effect --- boundary layer analysis --- finite element scheme --- heat generation --- constructive and destructive chemical reaction --- particle separation --- viscoelastic flow --- inertial focusing --- spiral channel --- transient two-layer flow --- power-law nanofluid --- heat transfer --- Laplace transform --- nanoparticle volume fraction --- effective thermal conductivity --- fractal scaling --- Monte Carlo --- porous media --- power-law model --- bioheat equation --- human body --- droplet deformation --- viscoelasticity --- wettable surface --- dielectric field --- droplet migration --- wettability gradient

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