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...
Saved in:
| HerausgeberIn: | |
|---|---|
| Sonstige: | |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (174 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993553544904498 |
|---|---|
| ctrlnum |
(CKB)5600000000483131 (oapen)https://directory.doabooks.org/handle/20.500.12854/91128 (EXLCZ)995600000000483131 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
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 |
| language |
English |
| format |
eBook |
| author2 |
Chinesta, Francisco Valette, Rudy Ammar, Amine Chinesta, Francisco Valette, Rudy |
| author_facet |
Chinesta, Francisco Valette, Rudy Ammar, Amine Chinesta, Francisco Valette, Rudy |
| author2_variant |
a a aa f c fc r v rv |
| author2_role |
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 |
| work_keys_str_mv |
AT ammaramine statisticalfluiddynamics AT chinestafrancisco statisticalfluiddynamics AT valetterudy statisticalfluiddynamics |
| status_str |
n |
| ids_txt_mv |
(CKB)5600000000483131 (oapen)https://directory.doabooks.org/handle/20.500.12854/91128 (EXLCZ)995600000000483131 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Statistical Fluid Dynamics |
| author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
| _version_ |
1796648777500590080 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03666nam-a2200937z--4500</leader><controlfield tag="001">993553544904498</controlfield><controlfield tag="005">20231214133003.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202208s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5600000000483131</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/91128</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995600000000483131</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ammar, Amine</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical Fluid Dynamics</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (174 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering & technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Materials science</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">graphene nano-powder</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thermal nanofluid</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rheological behavior</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Carreau nanofluid</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lubrication effect</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vallejo law</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">liquid-liquid interface</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">shear rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nanoparticles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">diffuse interface</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">phase field method</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">molecular dynamics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">numerical simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">octree optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microstructure generation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">domain reconstruction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">flow simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">permeability computing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data-driven model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">model order reduction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">proper orthogonal decomposition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">manifold learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">diffuse approximation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microcapsule suspension</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hausdorff distance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">topological data analysis (TDA)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">reinforced polymers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">concentrated suspensions</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">flow induced orientation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">discrete numerical simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">steam generator</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">void fraction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mixture model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">porous media approach</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">reduced-order model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Proper Orthogonal Decomposition (POD)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy dissipation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">interval-pooled stepped spillway</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">omega identification method</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Navier-Stokes equation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">singularity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transitional flow</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">turbulence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Poisson equation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nanoparticle two-phase flow</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">particle coagulation and breakage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">flow around circular cylinders</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">particle distribution</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-4655-3</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-4656-1</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chinesta, Francisco</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Valette, Rudy</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ammar, Amine</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chinesta, Francisco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Valette, Rudy</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:39:19 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-08-13 21:17:26 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5339493280004498&Force_direct=true</subfield><subfield code="Z">5339493280004498</subfield><subfield code="b">Available</subfield><subfield code="8">5339493280004498</subfield></datafield></record></collection> |