Statistical Fluid Dynamics
Modeling micrometric and nanometric suspensions remains a major issue. They help to model the mechanical, thermal, and electrical properties, among others, of the suspensions, and then of the resulting product, in a controlled way, when considered in material formation. In some cases, they can help...
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Ammar, Amine edt Statistical Fluid Dynamics Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (174 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Modeling micrometric and nanometric suspensions remains a major issue. They help to model the mechanical, thermal, and electrical properties, among others, of the suspensions, and then of the resulting product, in a controlled way, when considered in material formation. In some cases, they can help to improve the energy transport performance. The optimal use of these products is based on an accurate prediction of the flow-induced properties of the suspensions and, consequently, of the resulting products and parts. The final properties of the resulting micro-structured fluid or solid are radically different from the simple mixing rule. In this book, we found numerous works addressing the description of these specific fluid behaviors. English Technology: general issues bicssc History of engineering & technology bicssc Materials science bicssc graphene nano-powder thermal nanofluid rheological behavior Carreau nanofluid lubrication effect Vallejo law liquid-liquid interface shear rate nanoparticles diffuse interface phase field method molecular dynamics numerical simulation octree optimization microstructure generation domain reconstruction flow simulation permeability computing data-driven model model order reduction proper orthogonal decomposition manifold learning diffuse approximation microcapsule suspension Hausdorff distance topological data analysis (TDA) reinforced polymers concentrated suspensions flow induced orientation discrete numerical simulation steam generator void fraction mixture model porous media approach reduced-order model Proper Orthogonal Decomposition (POD) energy dissipation interval-pooled stepped spillway omega identification method Navier-Stokes equation singularity transitional flow turbulence Poisson equation nanoparticle two-phase flow particle coagulation and breakage flow around circular cylinders particle distribution 3-0365-4655-3 3-0365-4656-1 Chinesta, Francisco edt Valette, Rudy edt Ammar, Amine oth Chinesta, Francisco oth Valette, Rudy oth |
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English |
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Chinesta, Francisco Valette, Rudy Ammar, Amine Chinesta, Francisco Valette, Rudy |
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Chinesta, Francisco Valette, Rudy Ammar, Amine Chinesta, Francisco Valette, Rudy |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Statistical Fluid Dynamics |
spellingShingle |
Statistical Fluid Dynamics |
title_full |
Statistical Fluid Dynamics |
title_fullStr |
Statistical Fluid Dynamics |
title_full_unstemmed |
Statistical Fluid Dynamics |
title_auth |
Statistical Fluid Dynamics |
title_new |
Statistical Fluid Dynamics |
title_sort |
statistical fluid dynamics |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (174 p.) |
isbn |
3-0365-4655-3 3-0365-4656-1 |
illustrated |
Not Illustrated |
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AT ammaramine statisticalfluiddynamics AT chinestafrancisco statisticalfluiddynamics AT valetterudy statisticalfluiddynamics |
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(CKB)5600000000483131 (oapen)https://directory.doabooks.org/handle/20.500.12854/91128 (EXLCZ)995600000000483131 |
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Statistical Fluid Dynamics |
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1796648777500590080 |
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