LEADER 03914nam 2201021z- 450 001 9910585935403321 005 20220812 035 $a(CKB)5600000000483131 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/91128 035 $a(oapen)doab91128 035 $a(EXLCZ)995600000000483131 100 $a20202208d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aStatistical Fluid Dynamics 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (174 p.) 311 08$a3-0365-4655-3 311 08$a3-0365-4656-1 330 $aModeling 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. 606 $aHistory of engineering and technology$2bicssc 606 $aMaterials science$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aCarreau nanofluid 610 $aconcentrated suspensions 610 $adata-driven model 610 $adiffuse approximation 610 $adiffuse interface 610 $adiscrete numerical simulation 610 $adomain reconstruction 610 $aenergy dissipation 610 $aflow around circular cylinders 610 $aflow induced orientation 610 $aflow simulation 610 $agraphene nano-powder 610 $aHausdorff distance 610 $ainterval-pooled stepped spillway 610 $aliquid-liquid interface 610 $alubrication effect 610 $amanifold learning 610 $amicrocapsule suspension 610 $amicrostructure generation 610 $amixture model 610 $amodel order reduction 610 $amolecular dynamics 610 $an/a 610 $ananoparticle two-phase flow 610 $ananoparticles 610 $aNavier-Stokes equation 610 $anumerical simulation 610 $aoctree optimization 610 $aomega identification method 610 $aparticle coagulation and breakage 610 $aparticle distribution 610 $apermeability computing 610 $aphase field method 610 $aPoisson equation 610 $aporous media approach 610 $aproper orthogonal decomposition 610 $aProper Orthogonal Decomposition (POD) 610 $areduced-order model 610 $areinforced polymers 610 $arheological behavior 610 $ashear rate 610 $asingularity 610 $asteam generator 610 $athermal nanofluid 610 $atopological data analysis (TDA) 610 $atransitional flow 610 $aturbulence 610 $aVallejo law 610 $avoid fraction 615 7$aHistory of engineering and technology 615 7$aMaterials science 615 7$aTechnology: general issues 700 $aAmmar$b Amine$4edt$01250619 702 $aChinesta$b Francisco$4edt 702 $aValette$b Rudy$4edt 702 $aAmmar$b Amine$4oth 702 $aChinesta$b Francisco$4oth 702 $aValette$b Rudy$4oth 906 $aBOOK 912 $a9910585935403321 996 $aStatistical Fluid Dynamics$93032272 997 $aUNINA