Fact-checked by Grok 2 weeks ago

Stream function

The stream function, often denoted as \psi, is a scalar function used in two-dimensional incompressible to define the velocity of a , where the components are given by u = \frac{\partial \psi}{\partial y} and v = -\frac{\partial \psi}{\partial x}. This formulation automatically satisfies the \frac{\partial u}{\partial x} + \frac{\partial v}{\partial y} = 0 for constant-density s, simplifying the mathematical description of mass conservation in the . Physically, lines of constant \psi represent streamlines, which trace the instantaneous paths of particles in steady , and the difference in \psi values between two such lines quantifies the per unit depth passing between them. In potential flow theory, applicable to irrotational and inviscid incompressible flows, the stream function satisfies \nabla^2 \psi = 0, just as the \phi does, allowing the flow to be analyzed using complex variables where the potential is w(z) = \phi + i\psi. This property makes it invaluable for modeling idealized flows around aerodynamic bodies, such as airfoils, and for visualizing flow patterns through streamline plots. Beyond basic definitions, the stream function extends to axisymmetric three-dimensional flows via the and finds applications in numerical simulations and analytical solutions for viscous flows under certain conditions.

Fundamentals

Core Definition

In fluid dynamics, the stream function, denoted \psi, serves as a scalar potential field to describe two-dimensional incompressible flows, where the velocity vector \vec{v} is given by the curl of \psi in the direction perpendicular to the flow plane: \vec{v} = \nabla \times (\psi \hat{k}), with \hat{k} the unit vector normal to the x-y plane. This representation inherently satisfies the continuity equation \nabla \cdot \vec{v} = 0 for incompressible fluids, as the divergence of a curl is zero, thereby simplifying the analysis of flow fields by reducing the number of independent variables. Physically, the stream function quantifies the volume flux in the flow: the difference in \psi values between two streamlines corresponds to the per unit depth crossing the connecting them. For points A and B with \psi_B > \psi_A, the Q is Q = \psi_B - \psi_A, measuring the volume of passing through that segment per unit time and depth, which underscores the in incompressible regimes. This conceptual framework applies under the assumptions of two-dimensionality (flow confined to the x-y plane) and incompressibility (constant ). Streamlines, being curves of constant \psi, provide a visual representation of the flow paths.

Historical Context

The concept of the stream function in originates from the work of , who introduced the two-dimensional form in 1781 to describe incompressible flows. In the mid-19th century, George Gabriel Stokes extended its application as a tool for analyzing viscous flows in his seminal 1845 paper on the internal friction of fluids in motion (published 1849). Stokes employed the stream function to describe two-dimensional incompressible viscous flows, deriving velocity components from it to satisfy the Navier-Stokes equations under low conditions, marking a shift from purely inviscid theories to those incorporating . In the , William Thomson, later known as , adopted and extended the stream function for potential (inviscid) flows, particularly in studies of vortex dynamics and circulatory motion. Kelvin's work, including his 1867 investigations into vortex rings and circulation theorems, integrated the stream function with complex potential representations to visualize and compute irrotational flow patterns, building on Stokes' viscous applications while emphasizing inviscid hydrodynamics. This adoption facilitated the graphical representation of streamlines in 19th-century hydrodynamics, aiding the visualization of flow patterns around bodies and in wave propagation problems. By the early , the stream function evolved from a primarily graphical aid to a rigorous analytical tool, notably through Ludwig Prandtl's contributions to theory in the 1920s. Prandtl utilized the stream function in approximations to model and circulation around airfoils, incorporating effects to bridge inviscid and viscous regimes, as detailed in his thin theory developments. This analytical refinement enabled precise predictions of aerodynamic forces, solidifying the stream function's role in modern . Incidentally, analogies between the stream function and the in emerged during this period, with transposing related theorems across fields.

Two-Dimensional Incompressible Flows

Derivation from Continuity Equation

In two-dimensional incompressible flows, the takes the form \frac{\partial u}{\partial x} + \frac{\partial v}{\partial y} = 0, where u and v are the components in the x- and y-directions, respectively. This equation enforces mass conservation under the assumption of constant fluid density. To satisfy the identically, a stream function \psi(x, y) is introduced such that the components are expressed as u = \frac{\partial \psi}{\partial y}, \quad v = -\frac{\partial \psi}{\partial x}. Substituting these into the yields \frac{\partial u}{\partial x} = \frac{\partial^2 \psi}{\partial x \partial y}, \quad \frac{\partial v}{\partial y} = -\frac{\partial^2 \psi}{\partial y \partial x}. Since the mixed partial derivatives are equal (\frac{\partial^2 \psi}{\partial x \partial y} = \frac{\partial^2 \psi}{\partial y \partial x}), their sum is zero, confirming that the holds for any sufficiently smooth \psi. This definition arises from treating the as the condition for the d\psi = -v \, dx + u \, dy to be exact. Integrating along a from a reference point to (x, y) gives \psi(x, y), with the path independence ensured by the , as the of the (u, v) is divergence-free in two dimensions. Physically, \psi represents the volume : consider an element or a test connecting two points where \psi differs by d\psi. The through this curve is u \, dy - v \, dx = d\psi, corresponding to the net volume crossing per unit depth perpendicular to the plane, consistent with incompressibility.

Velocity Components and Streamlines

In two-dimensional incompressible flows, the stream function \psi(x, y) provides the components through partial derivatives: the x-component u = \frac{\partial \psi}{\partial y} and the y-component v = -\frac{\partial \psi}{\partial x}. These expressions ensure the is satisfied for . Streamlines represent the instantaneous paths tangent to the vector field at every point. They are defined as the contours where \psi(x, y) is constant, such that along a streamline, d\psi = 0. The vector (u, v) is everywhere perpendicular to the \nabla \psi = \left( \frac{\partial \psi}{\partial x}, \frac{\partial \psi}{\partial y} \right), as their vanishes: u \frac{\partial \psi}{\partial x} + v \frac{\partial \psi}{\partial y} = 0. In irrotational flows, where a velocity potential \phi(x, y) exists such that u = \frac{\partial \phi}{\partial x} and v = \frac{\partial \phi}{\partial y}, the streamlines (contours of constant \psi) are orthogonal to the equipotential lines (contours of constant \phi) at every point, forming a conjugate harmonic pair. A representative example is uniform flow in the positive x-direction with constant speed U, for which the stream function is \psi(x, y) = U y. This yields u = U and v = 0, with horizontal streamlines at constant y-values.

Relation to Vorticity

In two-dimensional incompressible flows, the vorticity component perpendicular to the flow plane, denoted \omega_z, is defined as \omega_z = \frac{\partial v}{\partial x} - \frac{\partial u}{\partial y}, where u and v are the components in the x and y directions, respectively. This vorticity relates directly to the stream function \psi through the Poisson equation \nabla^2 \psi = -\omega_z, where \nabla^2 = \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} is the two-dimensional Laplacian . The negative sign in this relation arises from the standard definition of the stream function that ensures the is satisfied. For irrotational flows, where \omega_z = 0 throughout the domain, the Poisson equation simplifies to the Laplace equation \nabla^2 \psi = 0. This describes the stream function in regions free of , such as in approximations away from boundaries or viscous layers. The Poisson equation in general thus positions the stream function as the solution to an , with the field acting as the source term that drives the rotational character of the flow. In viscous flows, the relation extends to higher-order derivatives. Taking the Laplacian of the Poisson equation yields the biharmonic equation \nabla^4 \psi = -\nabla^2 \omega_z, where \nabla^4 = \nabla^2 (\nabla^2) is the . This form holds generally for two-dimensional incompressible viscous flows, linking the fourth-order behavior of the stream function to the of . In the specific case of steady at low Reynolds numbers, where inertial effects are negligible and \nabla^2 \omega_z = 0, the equation further simplifies to \nabla^4 \psi = 0.

Properties and Variations

Invariance Under Coordinate Shifts

The stream function \psi in two-dimensional incompressible flows is defined up to an arbitrary additive constant, arising from the choice of reference point in the coordinate system. This non-uniqueness means that if \psi(x, y) is a valid stream function, then \psi'(x, y) = \psi(x, y) + C, where C is any constant, also satisfies the defining relations for the velocity field. Such a shift corresponds to a of the zero level of \psi without altering the underlying flow physics, as the constant merely redefines the labeling of streamlines. The components, given by u = \frac{\partial \psi}{\partial y} and v = -\frac{\partial \psi}{\partial x}, remain unchanged under this because the additive constant vanishes upon differentiation. Thus, the field is , preserving all kinematic properties derived from it. Similarly, streamline patterns, which are level curves of constant \psi, are unaffected in their geometry, as the relative differences in \psi values determine the structure rather than absolute levels. In practice, the arbitrary constant allows flexibility in setting \psi = 0 along a specific or streamline, such as a solid wall, to simplify boundary condition enforcement and streamline identification. This choice does not impact relative fluxes between streamlines, where the difference \psi_2 - \psi_1 quantifies the per unit depth crossing a line segment connecting the two points. Overall, this invariance ensures that coordinate shifts in the reference maintain the physical integrity of the flow description while offering computational convenience.

Alternative Sign Conventions

In , the standard for the two-dimensional stream function \psi in incompressible flows defines the velocity components as u = \frac{\partial \psi}{\partial y} and v = -\frac{\partial \psi}{\partial x}, where u and v are the velocities in the x- and y-directions, respectively. This convention aligns with a counterclockwise sense for positive circulation, such that the volume flux across a line from the origin to a point is given by \psi, increasing to the left when facing downstream. An alternative convention reverses the signs, defining u = -\frac{\partial \psi}{\partial y} and v = \frac{\partial \psi}{\partial x}. This opposite form appears in certain older textbooks and specialized applications, such as some treatments in polar coordinates or numerical simulations where the choice facilitates alignment with specific integration paths. In and , the alternative convention is commonly used, where u = -\frac{\partial \psi}{\partial y} and v = \frac{\partial \psi}{\partial x}, to facilitate the relation between stream function and (\omega = \nabla^2 \psi). This convention is standard in these fields for both hemispheres. The primary consequence of adopting the alternative convention is a reversal in the of the \nabla \psi relative to the , effectively flipping the sense of ( positive instead of counterclockwise). However, the streamlines themselves—lines of constant \psi—remain unchanged, as the level sets of \psi and -\psi coincide, preserving the geometric pattern of the . This sign flip does not alter the satisfaction of the but requires consistent adjustment in related derivations, such as expressions. Historically, these alternative conventions arose from variations in the direction of , often chosen for mathematical convenience or to match problem-specific orientations, such as left-to-right positive flux in early analytical works. The stream function remains invariant under additive constants regardless of the sign choice, ensuring flexibility in normalization.

Existence Conditions

The existence of a stream function for a two-dimensional field \mathbf{u} = (u, v) requires the to satisfy the , ensuring zero divergence \nabla \cdot \mathbf{u} = 0, which corresponds to incompressibility under the assumption of constant density. This condition is necessary because the stream function \psi is defined such that u = \partial \psi / \partial y and v = -\partial \psi / \partial x, and these partial derivatives automatically satisfy the divergence-free requirement only if the original components do so. A sufficient condition for the existence of \psi is the integrability of the velocity field, meaning the differential form d\psi = -v \, dx + u \, dy must be exact. This holds if the velocity components satisfy \partial u / \partial y = -\partial v / \partial x, which is precisely the two-dimensional continuity equation \partial u / \partial x + \partial v / \partial y = 0. In practice, the velocity field must have finite and continuous partial derivatives to ensure \psi can be constructed locally via line integration. Global existence of a single-valued \psi is guaranteed in simply connected domains, where path-independent integration yields a unique function up to a constant. In multiply connected domains, such as those with obstacles or holes, \psi may become multi-valued, requiring branch cuts or adjustments via a cyclic constant related to the circulation around non-contractible loops to maintain physical consistency. In compressible flows, where \nabla \cdot \mathbf{u} \neq 0, no stream function exists because the defining is not closed, preventing the representation of components through partial derivatives of a like \psi. This limitation underscores the stream function's restriction to incompressible regimes.

Generalizations

Axisymmetric Flows

In axisymmetric flows, which exhibit about a central and are common in problems like past slender bodies or along , the stream function is generalized to the \psi, defined in cylindrical coordinates (r, \theta, z) where the is independent of the azimuthal angle \theta. This formulation applies to incompressible fluids satisfying the \frac{1}{r} \frac{\partial (r u_r)}{\partial r} + \frac{\partial u_z}{\partial z} = 0, with no azimuthal dependence. To satisfy this equation identically, the radial velocity u_r and axial velocity u_z are expressed in terms of \psi as u_r = -\frac{1}{r} \frac{\partial \psi}{\partial z} and u_z = \frac{1}{r} \frac{\partial \psi}{\partial r}. Substituting these into the continuity equation yields \frac{1}{r} \frac{\partial}{\partial r} \left( r \left( -\frac{1}{r} \frac{\partial \psi}{\partial z} \right) \right) + \frac{\partial}{\partial z} \left( \frac{1}{r} \frac{\partial \psi}{\partial r} \right) = -\frac{1}{r} \frac{\partial^2 \psi}{\partial r \partial z} + \frac{1}{r} \frac{\partial^2 \psi}{\partial z \partial r} = 0, confirming that \psi automatically enforces mass conservation. The \psi thus describes the poloidal components of the field in the meridional plane, with streamlines given by surfaces of constant \psi. The through a surface generated by rotating a of constant \psi from the to a point is $2\pi \psi, providing a measure of the . However, axisymmetric flows may include a swirl component, the azimuthal v_\theta, which is not captured by \psi and must be treated separately, often governed by its own conservation equations such as balance. This separation arises because \psi is designed solely for the divergence-free condition in the radial-axial plane, leaving v_\theta independent. A representative example is uniform flow along the z-axis with constant axial U and zero , where \psi = \frac{1}{2} U r^2. Here, u_z = \frac{1}{r} \frac{\partial}{\partial r} \left( \frac{1}{2} U r^2 \right) = U and u_r = -\frac{1}{r} \frac{\partial}{\partial z} \left( \frac{1}{2} U r^2 \right) = 0, satisfying the and illustrating the stream function's role in simple axisymmetric cases; this reduces to the two-dimensional Cartesian stream function as a limiting case when radial variations are negligible.

Three-Dimensional and Compressible Extensions

In three-dimensional incompressible flows, the stream function is extended to a \mathbf{A}, defined such that the velocity field satisfies \mathbf{u} = \nabla \times \mathbf{A}. This formulation inherently enforces the incompressibility condition \nabla \cdot \mathbf{u} = 0, as the divergence of a curl is zero. The \mathbf{A} is subject to gauge freedom, allowing transformations \mathbf{A} \to \mathbf{A} + \nabla \chi for any scalar \chi without altering \mathbf{u}; the Coulomb gauge \nabla \cdot \mathbf{A} = 0 is commonly imposed to uniquely determine \mathbf{A} in suitable domains. The existence of this vector stream function requires the flow domain to be simply connected. For compressible flows, where \nabla \cdot \mathbf{u} \neq 0, no scalar stream function exists, as the continuity equation cannot be integrated to yield a conserved flux. Instead, generalized representations such as Clebsch potentials are employed, expressing the velocity as \mathbf{u} = \nabla \phi + \alpha \nabla \beta with scalar functions \phi, \alpha, and \beta, which accommodate density variations and vorticity. Vector potential forms can also be adapted, though they require additional constraints to handle the non-zero divergence. In unsteady flows, a time-dependent stream function \mathbf{A}(\mathbf{x}, t) can be defined to satisfy a modified derived from the instantaneous , preserving the relation \mathbf{u} = \nabla \times \mathbf{A}. However, such Eulerian descriptions become complex for tracking evolving structures, and methods—following fluid particles—are often preferred for their ability to conserve material invariants like . A notable example where a scalar stream function emerges in three dimensions is certain Beltrami flows, characterized by \boldsymbol{\omega} = \lambda \mathbf{u} for some scalar \lambda, particularly those aligned with a fixed . Here, the parallelism between and allows the flow to be described by a single scalar \psi such that \mathbf{u} = \nabla \times (\psi \mathbf{e}) for a constant unit vector \mathbf{e}, reducing the problem to an effectively integrable form.

Applications

Potential Flow Theory

In potential flow theory, the stream function ψ describes irrotational and inviscid fluid flows, where the ω vanishes, leading to the condition that ψ satisfies , ∇²ψ = 0, making ψ a . This irrotational condition, ω = 0, ensures that the field can be derived from a scalar φ, with the components given by u = ∇φ. The stream function ψ superposes with the φ through the Cauchy-Riemann conditions: ∂φ/∂x = ∂ψ/∂y and ∂φ/∂y = -∂ψ/∂x, which relate the partial derivatives of φ and ψ in Cartesian coordinates. These conditions imply that the pair (φ, ψ) forms an in the , where φ is the real part and ψ is the imaginary part. In two-dimensional potential flows, the complex potential w(z) = φ + iψ, with z = x + iy, provides a powerful tool for analysis, as its analyticity enables conformal mapping to solve boundary value problems by transforming the flow domain while preserving angles and local flow patterns. Representative examples illustrate these concepts. For a two-dimensional source (or sink) of strength m at the origin, the stream function is ψ = (m / 2π) θ in polar coordinates (r, θ), where streamlines are radial lines emanating from the singularity. For uniform flow of speed U past a circular of a, the stream function is ψ = U (r - a² / r) sin θ, obtained by superposing a uniform stream and a , with the surface r = a forming a streamline.

Numerical and Experimental Uses

In numerical simulations of two-dimensional incompressible flows, the stream function is commonly employed in the of the Navier-Stokes equations, which decouples the velocity components from the term and inherently satisfies the . This approach transforms the momentum equations into a equation for the stream function, \nabla^2 \psi = -\omega, where \psi is the stream function and \omega is the , followed by a equation for evolution. The simplifies boundary condition implementation for no-slip walls by relating wall to the stream function via Taylor expansion, enabling efficient solutions using methods such as finite differences, finite elements, or techniques. This method has been widely applied in (CFD) for benchmark problems like steady viscous flow past a circular at Reynolds numbers up to 100, where finite element discretizations yield accurate streamline patterns and drag coefficients matching experimental data. For instance, Galerkin-Legendre spectral methods solve the uncoupled and stream function equations under no-slip conditions in square domains, achieving high accuracy for lid-driven flows with convergence rates superior to lower-order schemes. The advantages include reduced computational cost compared to primitive variable formulations—solving only two scalar fields instead of three—and avoidance of pressure-velocity issues, making it suitable for high-Reynolds-number simulations on structured grids. However, it is primarily limited to planar flows due to challenges in extending to three dimensions. Experimentally, the stream function is typically derived from measured fields rather than directly observed, using techniques like () to obtain two-dimensional components, which are then to compute \psi. The proceeds along paths orthogonal to the vector, such as horizontal lines for the horizontal u = \partial \psi / \partial z in stratified flows, yielding \psi(x, z) = \int u \, dz + f(x), with the function f(x) determined from boundary conditions or vertical . This method has been validated in laboratory setups, such as tidal flow past a knife-edge ridge in a stratified tank, where data on a 100 × 100 grid (resolution 0.15 cm × 0.11 cm) produced stream functions agreeing within 10% of numerical simulations for radiated internal (experimental value 2.83 nW/cm versus simulated 3.09 nW/cm). In quasi-two-dimensional flows, such as electromagnetically driven annular setups, multi-channel potential difference measurements across electrodes enable direct computation of the stream function by exploiting the relation \psi = (1/B) \int E \, dl, where B is the and E the induced , providing simultaneous maps of topology without optical access limitations. For qualitative assessment, hydrogen techniques in water tunnels visualize streamlines—contours of constant stream function—by generating fine bubbles via on a wire, which follow paths in steady laminar regimes, as demonstrated in studies of inlet vortices where trajectories reveal recirculation zones with sub-millimeter resolution. These experimental approaches complement numerical models by validating streamline patterns and quantifying , such as in wave propagation.

References

  1. [1]
    [PDF] Define the Stream Function and discuss its Physical Significanc
    Definition of the Stream Function. Page 2. Example: Stream Function in Cartesian Coordinates. Given: A flow field is 2-D in the x-y plane, and its stream ...Missing: dynamics | Show results with:dynamics
  2. [2]
    [PDF] Fluids – Lecture 12 Notes - MIT
    Because of these properties, using the stream function to define the velocity field can give mathematical simplification in many fluid flow problems ...
  3. [3]
    Potential Flow Theory – Introduction to Aerospace Flight Vehicles
    The stream function also provides a way to visualize incompressible two-dimensional flows. Streamlines, which are lines of constant values of the stream ...
  4. [4]
    [PDF] An Introduction to Theoretical Fluid Dynamics - NYU Courant
    Oct 16, 2007 · The function ψ is called the stream function of the velocity field. The reason for the term is immediate: The instantaneous streamline ...
  5. [5]
    Two-Dimensional Flow - Richard Fitzpatrick
    is known as the stream function. Moreover, the existence of a stream function is a direct consequence of the assumed incompressible nature of the flow.Missing: dynamics | Show results with:dynamics<|control11|><|separator|>
  6. [6]
    [PDF] Worlds of Flow
    This book offers glimpses into each of these worlds, with an emphasis on aspects of fluid mechanics in which compressibility and thermal effects play no role ( ...
  7. [7]
    [PDF] The Stream Function
    The flow of an incompressible fluid in a 2D region, which is usually described by a vector field (u,v), can also be represented by stream function ψ(x, y). 1 ...Missing: dynamics | Show results with:dynamics
  8. [8]
    None
    **Summary of Stream Function Derivation from Continuity Equation**
  9. [9]
    [PDF] Applications of Complex Variables to Fluid Flow Let V denote the ...
    Let V denote the velocity vector field of a fluid in two dimensions. V ... velocity vector field is perpendicular to the gradient of the stream function:.
  10. [10]
    [PDF] Fluids – Lecture 15 Notes - MIT
    The corresponding potential and stream functions are φ(x, y) = u∞ x + v∞ y = V∞ (x cosα + y sin α) ψ(x, y) = u∞ y − v∞ x = V∞ (y cos α − x sin α). V v u.
  11. [11]
    [PDF] Examples of Streamfunctions for Planar, Incompressible Flows
    More generally a uniform stream with velocities U and V in the x and y directions would have the stream function ψ = Uy − V x. Figure 3: Shear flow in the ...
  12. [12]
    [PDF] an introduction to - fluid dynamics
    ... stream function to satisfy the mass-conservation equation, 75. 2·3 Analysis ... Stokes equation, x....,. Conditions on the velocity and stress at a ...<|control11|><|separator|>
  13. [13]
    [PDF] Low Reynolds number hydrodynamics
    4-7 Dynamic Equation Satisfied by the Stream Function. To obtain the dynamical equation satisfied by Stokes' stream function we have for the vorticity vector ...
  14. [14]
    [PDF] Elements of Hydrodynamics - Fakultät für Physik - Uni Bielefeld
    flow one can define a unique (up to an additive constant) stream function(xlix) ψ(x, y) such that vx(x, y) = −. ∂ψ(x, y). ∂y. , vy(x, y) = ∂ψ(x, y). ∂x. (IV ...
  15. [15]
    [PDF] An Introduction to Theoretical Fluid Dynamics - NYU Courant
    Feb 12, 2008 · This course will deal with a mathematical idealization of common fluids such as air or water. The main idealization is embodied in the ...
  16. [16]
    [PDF] Introductory fluid mechanics
    Hence the the stream function ψ for this Stokes flow satisfies the biharmonic equation. ∆(∆ψ)=0. Next we determine the boundary conditions. Explicitly in ...
  17. [17]
    [PDF] The Diffusion Fish - WHOI GFD
    where we have chosen the arbitrary additive constant for the stream function such that ψ = 0 on the wall. If the wall is insulating (which is the case for ...<|control11|><|separator|>
  18. [18]
  19. [19]
    Stream Function ψ - an overview | ScienceDirect Topics
    The stream function ψ is defined as a function that satisfies the continuity equation for incompressible flow, allowing the determination of fluid velocity ...
  20. [20]
  21. [21]
  22. [22]
    [PDF] STREAM FUNCTIONS FOR DIVERGENCE-FREE VECTOR FIELDS ...
    For a simply connected domain, it is well known that in two dimensions, u = ∇⊥ψ := (−∂2ψ, ∂1ψ) for a stream function, ψ, vanishing on the boundary.
  23. [23]
    Low Reynolds number hydrodynamics
    4-2 Stream function, 96. 4-3 Relation between stream function and local velocity, 98. 4-4 Stream function in various co- ordinate systems, 99 ...
  24. [24]
    [PDF] Stable Fourth-Order Stream-Function Methods for Incompressible ...
    Abstract. Fourth-order stream-function methods are proposed for the time dependent, incom- pressible Navier-Stokes and Boussinesq equations.
  25. [25]
    [PDF] Helicity in Laminar and Turbulent Flow - DAMTP
    Helicity is the integrated scalar product of velocity and vorticity fields, and is important in flow kinematics and topological interpretation of vortex lines.Missing: 3D | Show results with:3D
  26. [26]
    Realization of incompressible Navier–Stokes flow as superposition ...
    Jan 11, 2021 · In ideal fluids, Clebsch potentials occur as paired canonical variables associated with the Hamiltonian description of the Euler equations.
  27. [27]
    Unsteady vorticity–streamfunction algorithm for external flows
    Unsteady flows appear for bodies subject to time varying inflow conditions and complex motion, and for airfoils at high incidences. The wind turbine is a ...
  28. [28]
    Exact solutions to the three-dimensional Navier–Stokes equations ...
    Jan 21, 2025 · Generalized Beltrami flows have also been extensively used to generate exact solutions of the Navier–Stokes equations. Let us recall that is ...
  29. [29]
    [PDF] Potential Flow Theory - MIT
    Potential flows. Potential functions φ (and stream functions,ψ ) can be defined for various simple flows. These potential functions can also be superimposed ...
  30. [30]
    [PDF] 2.25 Advanced Fluid Mechanics - MIT OpenCourseWare
    where W = φ + iψ, φ is the potential function, and ψ the stream function. Recap from Lecture: W satisfies the Laplace equation which is linear. Therefore, one ...
  31. [31]
    Fluids eBook: Superposition of Flows
    By combining a source and a sink of equal strength using the method of superposition, the stream function is given by. ψ = ψsource + ψsink = -(m/2π) (θ1 - θ2).
  32. [32]
    [PDF] Potential Flow around a Cylinder
    Potential flow around a cylinder is created by superimposing a uniform stream on a doublet. The velocity potential is φ = r + R2 r U cosθ, and the drag is zero.
  33. [33]
    A new method for the numerical solution of vorticity–streamfunction ...
    Some of these advantages include a reduction of the number of equations to be solved through the elimination of the pressure variable, identical satisfaction of ...
  34. [34]
    [PDF] FINITE ELEMENT TECHNIQUES FOR THE NAVIER-STOKES ...
    The main advantages of the vorticity stream-function formulation are the simple form of the equations in two-dimensions and the in-built satisfaction of the.
  35. [35]
    Numerical studies of the flow around a circular cylinder by a finite ...
    Abstract. Numerical solutions of the steady, incompressible, viscous flow past a circular cylinder are presented for Reynolds numbers R ranging from 1 to 100.
  36. [36]
    Galerkin Spectral Method for the Vorticity and Stream Function ...
    A Galerkin–Legendre spectral method for the solution of the vorticity and stream function equations in uncoupled form under no-slip conditions in a square ...
  37. [37]
    None
    ### Summary of Stream Function Determination for Internal Waves
  38. [38]
    Direct measurement of the stream-function in a quasi-two ...
    We utilize this property in order to perform simultaneous multi-channel measurements of the stream function in an electromagnetically driven annular liquid ...Missing: determination | Show results with:determination
  39. [39]
    [PDF] The Hydrogen-Bubble, Flow-Visualization Technique - DTIC
    Streamline patterns for steady water flows are also obtainable with the hydrogen-bubble technique. As described in Clutter et al, 2 it is possible to uniformly ...
  40. [40]
    Experimental determination of radiated internal wave power without ...
    Apr 25, 2014 · The stream function at a point (x, z) is determined by averaging the velocities integrated along paths that (a) first travel horizontally from ...