- Reynolds parameter
- Макаров: число Рейнольдса
Универсальный англо-русский словарь. Академик.ру. 2011.
Reynolds parameter
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Reynolds number — n. 〚after O. Reynolds (1842 1912), Eng physicist〛 a dimensionless parameter used to determine the nature of fluid flow along surfaces and around objects, as in a wind tunnel * * * In fluid mechanics, a number that indicates whether the flow of a… … Universalium
Reynolds number — n. [after O. Reynolds (1842 1912), Eng physicist] a dimensionless parameter used to determine the nature of fluid flow along surfaces and around objects, as in a wind tunnel … English World dictionary
Reynolds number — In fluid mechanics and heat transfer, the Reynolds number mathrm{Re} is a dimensionless number that gives a measure of the ratio of inertial forces ({old mathrm V} ho) to viscous forces (mu / L) and, consequently, it quantifies the relative… … Wikipedia
Reynolds number — noun a dimensionless parameter that determines the behavior of viscous flow patterns. In pipe flow a value less than about 2,000 (known as the critical Reynolds number) produces laminar flow, one above about 3,000 produces turbulent flow… … Wiktionary
Dynamic similarity (Reynolds and Womersley numbers) — Contents 1 Derivation 2 Dynamic similarity use 3 Boundary layer thickness 4 References 5 Exter … Wikipedia
Centrifugal compressor — Centrifugal compressors, sometimes termed radial compressors, are a sub class of dynamic axisymmetric work absorbing turbomachinery.[1] Centrifugal impeller with a highly polished surface likely to improve performance … Wikipedia
Dimensionless quantity — In dimensional analysis, a dimensionless quantity or quantity of dimension one is a quantity without an associated physical dimension. It is thus a pure number, and as such always has a dimension of 1.[1] Dimensionless quantities are widely used… … Wikipedia
Navier–Stokes equations — Continuum mechanics … Wikipedia
Jean-Pierre Petit — (b. 5 April 1937) is a French scientist, senior researcher at National Center for Scientific Research (CNRS), now retired. His main working fields are fluid mechanics, kinetic theory of gases, plasma physics, magnetohydrodynamics power generation … Wikipedia
Adaptive resonance theory — (ART) is a neural network architecture developed by Stephen Grossberg and Gail Carpenter. Learning model The basic ART system is an unsupervised learning model. It typically consists of a comparison field and a recognition field composed of… … Wikipedia
Drag (physics) — Shape and flow Form drag Skin friction 0% 100% 10% 90% … Wikipedia
