Statistical Fluid Dynamics

• Muut tekijät: Ammar, Amine (Toimittaja), Chinesta, Francisco (Toimittaja), Valette, Rudy (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Aiheet: Technology: general issues; History of engineering & technology; Materials science; 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; n/a
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...