enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Two-dimensional flow - Wikipedia

    en.wikipedia.org/wiki/Two-dimensional_flow

    Sink flow is the opposite of source flow. The streamlines are radial, directed inwards to the line source. As we get closer to the sink, area of flow decreases. In order to satisfy the continuity equation, the streamlines get bunched closer and the velocity increases as we get closer to the source. As with source flow, the velocity at all ...

  3. Streamlines, streaklines, and pathlines - Wikipedia

    en.wikipedia.org/wiki/Streamlines,_streaklines...

    The magnitude of the radial pressure gradient can be calculated directly from the density of the fluid, the curvature of the streamline and the local velocity. Dye can be used in water, or smoke in air, in order to see streaklines, from which pathlines can be calculated.

  4. Fluid dynamics - Wikipedia

    en.wikipedia.org/wiki/Fluid_dynamics

    In physics, physical chemistry and engineering, fluid dynamics is a subdiscipline of fluid mechanics that describes the flow of fluids – liquids and gases.It has several subdisciplines, including aerodynamics (the study of air and other gases in motion) and hydrodynamics (the study of water and other liquids in motion).

  5. Flow (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Flow_(mathematics)

    It is very common in many fields, including engineering, physics and the study of differential equations, to use a notation that makes the flow implicit. Thus, x ( t ) is written for ⁠ φ t ( x 0 ) , {\displaystyle \varphi ^{t}(x_{0}),} ⁠ and one might say that the variable x depends on the time t and the initial condition x = x 0 .

  6. Gradient - Wikipedia

    en.wikipedia.org/wiki/Gradient

    The gradient of F is then normal to the hypersurface. Similarly, an affine algebraic hypersurface may be defined by an equation F(x 1, ..., x n) = 0, where F is a polynomial. The gradient of F is zero at a singular point of the hypersurface (this is the definition of a singular point). At a non-singular point, it is a nonzero normal vector.

  7. Potential gradient - Wikipedia

    en.wikipedia.org/wiki/Potential_gradient

    The simplest definition for a potential gradient F in one dimension is the following: [1] = = where ϕ(x) is some type of scalar potential and x is displacement (not distance) in the x direction, the subscripts label two different positions x 1, x 2, and potentials at those points, ϕ 1 = ϕ(x 1), ϕ 2 = ϕ(x 2).

  8. Euler equations (fluid dynamics) - Wikipedia

    en.wikipedia.org/wiki/Euler_equations_(fluid...

    In a steady flow of an inviscid fluid without external forces, the center of curvature of the streamline lies in the direction of decreasing radial pressure. Although this relationship between the pressure field and flow curvature is very useful, it doesn't have a name in the English-language scientific literature. [ 25 ]

  9. Divergence - Wikipedia

    en.wikipedia.org/wiki/Divergence

    So the velocity field will have positive divergence everywhere. Similarly, if the gas is cooled, it will contract. There will be more room for gas particles in any volume, so the external pressure of the fluid will cause a net flow of gas volume inward through any closed surface. Therefore, the velocity field has negative divergence everywhere.