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Vortex lattice method
Vortex lattice method
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Simulation of an airplane using Open VOGEL, an open source framework for aerodynamic simulations based in the UVLM.

The Vortex lattice method, (VLM), is a numerical method used in computational fluid dynamics, mainly in the early stages of aircraft design and in aerodynamic education at university level. The VLM models the lifting surfaces, such as a wing, of an aircraft as an infinitely thin sheet of discrete vortices to compute lift and induced drag. The influence of the thickness and viscosity is neglected.

VLMs can compute the flow around a wing with rudimentary geometrical definition. For a rectangular wing it is enough to know the span and chord. On the other side of the spectrum, they can describe the flow around a fairly complex aircraft geometry (with multiple lifting surfaces with taper, kinks, twist, camber, trailing edge control surfaces and many other geometric features).

By simulating the flow field, one can extract the pressure distribution or as in the case of the VLM, the force distribution, around the simulated body. This knowledge is then used to compute the aerodynamic coefficients and their derivatives that are important for assessing the aircraft's handling qualities in the conceptual design phase. With an initial estimate of the pressure distribution on the wing, the structural designers can start designing the load-bearing parts of the wings, fin and tailplane and other lifting surfaces. Additionally, while the VLM cannot compute the viscous drag, the induced drag stemming from the production of lift can be estimated. Hence as the drag must be balanced with the thrust in the cruise configuration, the propulsion group can also get important data from the VLM simulation.

Historical background

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John DeYoung provides a background history of the VLM in the NASA Langley workshop documentation SP-405.[1]

The VLM is the extension of Prandtl's lifting-line theory,[2] where the wing of an aircraft is modeled as an infinite number of Horseshoe vortices. The name was coined by V.M. Falkner in his Aeronautical Research Council paper of 1946.[3] The method has since then been developed and refined further by W.P. Jones, H. Schlichting, G.N. Ward and others.

Although the computations needed can be carried out by hand, the VLM benefited from the advent of computers for the large amounts of computations that are required.

Instead of only one horseshoe vortex per wing, as in the Lifting-line theory, the VLM utilizes a lattice of horseshoe vortices, as described by Falkner in his first paper on this subject in 1943.[4] The number of vortices used vary with the required pressure distribution resolution, and with required accuracy in the computed aerodynamic coefficients. A typical number of vortices would be around 100 for an entire aircraft wing; an Aeronautical Research Council report by Falkner published in 1949 mentions the use of an "84-vortex lattice before the standardisation of the 126-lattice" (p. 4).[5]

The method is comprehensibly described in all major aerodynamic textbooks, such as Katz & Plotkin,[6] Anderson,[7] Bertin & Smith[8] Houghton & Carpenter[9] or Drela,[10]

Theory

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The vortex lattice method is built on the theory of ideal flow, also known as Potential flow. Ideal flow is a simplification of the real flow experienced in nature, however for many engineering applications this simplified representation has all of the properties that are important from the engineering point of view. This method neglects all viscous effects. Turbulence, dissipation and boundary layers are not resolved at all. However, lift induced drag can be assessed and, taking special care, some stall phenomena can be modelled.

Assumptions

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The following assumptions are made regarding the problem in the vortex lattice method:

Method

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By the above assumptions the flowfield is Conservative vector field, which means that there exists a perturbation velocity potential such that the total velocity vector is given by

and that satisfies Laplace's equation.

Laplace's equation is a second order linear equation, and being so it is subject to the principle of superposition. Which means that if and are two solutions of the linear differential equation, then the linear combination is also a solution for any values of the constants and . As Anderson[7] put it "A complicated flow pattern for an irrotational, incompressible flow can be synthesized by adding together a number of elementary flows, which are also irrotational and incompressible.”. Such elementary flows are the point source or sink, the doublet and the vortex line, each being a solution of Laplace's equation. These may be superposed in many ways to create the formation of line sources, vortex sheets and so on. In the Vortex Lattice method, each such elementary flow is the velocity field of a horseshoe vortex with some strength .

Aircraft model

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All the lifting surfaces of an aircraft are divided into some number of quadrilateral panels, and a horseshoe vortex and a collocation point (or control point) are placed on each panel. The transverse segment of the vortex is at the 1/4 chord position of the panel, while the collocation point is at the 3/4 chord position. The vortex strength is to be determined. A normal vector is also placed at each collocation point, set normal to the camber surface of the actual lifting surface.

For a problem with panels, the perturbation velocity at collocation point is given by summing the contributions of all the horseshoe vortices in terms of an Aerodynamic Influence Coefficient (AIC) matrix .

The freestream velocity vector is given in terms of the freestream speed and the angles of attack and sideslip, .

A Neumann boundary condition is applied at each collocation point, which prescribes that the normal velocity across the camber surface is zero. Alternate implementations may also use the Dirichlet boundary condition directly on the velocity potential.

This is also known as the flow tangency condition. By evaluating the dot products above the following system of equations results. The new normalwash AIC matrix is , and the right hand side is formed by the freestream speed and the two aerodynamic angles

This system of equations is solved for all the vortex strengths . The total force vector and total moment vector about the origin are then computed by summing the contributions of all the forces on all the individual horseshoe vortices, with being the fluid density.

Here, is the vortex's transverse segment vector, and is the perturbation velocity at this segment's center location (not at the collocation point).

The lift and induced drag are obtained from the components of the total force vector . For the case of zero sideslip these are given by

Extension to the Dynamic Case

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The preliminary design of airplanes requires unsteady aerodynamic models, usually written in the frequency domain for aeroelastic analyses. Commonly used is the Doublet Lattice Method, where the wing system is subdivided into panels. Each panel has a line of doublets of acceleration potential in the first-quarter line, similarly of what is usually done in the Vortex Lattice Method. Each panel has a load point where the lifting force is assumed applied and a control point where the aeroelastic boundary condition is enforced. The Doublet Lattice Method evaluated at frequency zero is usually obtained with a Vortex Lattice formulation

References

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Sources

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  • NASA, Vortex-lattice utilization. NASA SP-405, NASA-Langley, Washington, 1976.
  • Prandtl. L, Applications of modern hydrodynamics to aeronautics, NACA-TR-116, NASA, 1923.
  • Falkner. V.M., The Accuracy of Calculations Based on Vortex Lattice Theory, Rep. No. 9621, British A.R.C., 1946.
  • J. Katz, A. Plotkin, Low-Speed Aerodynamics, 2nd ed., Cambridge University Press, Cambridge, 2001.
  • J.D. Anderson Jr, Fundamentals of aerodynamics, 2nd ed., McGraw-Hill Inc, 1991.
  • J.J. Bertin, M.L. Smith, Aerodynamics for Engineers, 3rd ed., Prentice Hall, New Jersey, 1998.
  • E.L. Houghton, P.W. Carpenter, Aerodynamics for Engineering Students, 4th ed., Edward Arnold, London, 1993.
  • Lamar, J. E., Herbert, H. E., Production version of the extended NASA-Langley vortex lattice FORTRAN computer program. Volume 1: User's guide, NASA-TM-83303, NASA, 1982
  • Lamar, J. E., Herbert, H. E., Production version of the extended NASA-Langley vortex lattice FORTRAN computer program. Volume 2: Source code, NASA-TM-83304, NASA, 1982
  • Melin, Thomas, A Vortex Lattice MATLAB Implementation for Linear Aerodynamic Wing Applications, Royal Institute of Technology (KTH), Sweden, December, 2000
  • M. Drela, Flight Vehicle Aerodynamics, MIT Press, Cambridge, MA, 2014.
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The vortex lattice method (VLM) is a numerical technique in computational for analyzing the subsonic flow over three-dimensional lifting surfaces, such as wings, tails, and control surfaces, by representing the surface as a discrete lattice of bound and trailing vortex filaments. It relies on theory, solving to determine the vortex strengths that satisfy the no-penetration boundary condition on the surface and the at trailing edges, thereby predicting key aerodynamic quantities like lift distribution, induced drag, pitching moments, and stability derivatives. Developed in the late and formalized as the "vortex lattice" approach by Falkner in 1943, the method gained prominence in the 1960s with the advent of digital computers and contributions from researchers, including early implementations like the VLM4.997 code standardized at by 1982. It builds on foundational work in by Prandtl and extensions to three dimensions, incorporating horseshoe vortices to model circulation while adhering to theorems such as Munk's energy theorem for drag minimization. Modern implementations, such as the Athena Vortex Lattice (AVL) program from MIT, extend the core method to handle arbitrary configurations, including non-planar surfaces and slender bodies modeled with source-doublet distributions. At its core, VLM discretizes the lifting surface into panels with bound vortices placed at the quarter-chord line and trailing vortices extending to form a wake, computing induced velocities via the Biot-Savart law and solving a for circulation strengths. Key assumptions include inviscid, irrotational flow; small perturbations linearized about the freestream; thin surfaces with negligible thickness effects; and a flat, force-free wake aligned with the freestream direction. is often accounted for using the Prandtl-Glauert transformation, valid up to Mach numbers around 0.6, though swept wings can extend usability to higher speeds. The method is widely applied in preliminary design for estimating aerodynamic , optimizing spanwise loading to minimize induced drag, analyzing multi-element interactions (e.g., wing-body or canard configurations), and evaluating unsteady effects like flutter through time-stepping or harmonic approximations. It has been validated against wind-tunnel data for diverse cases, such as low-aspect-ratio wings with via Polhamus' leading-edge suction analogy or externally systems, achieving good agreement in lift and drag predictions within viscous-inviscid transition regimes. However, limitations include its inability to capture viscous effects like boundary layers, , or shock waves; inaccuracies for thick airfoils, high angles of attack, or /supersonic regimes without extensions; and the need for panel refinement to ensure convergence, which can increase computational cost.

Introduction

Overview

The vortex lattice method (VLM) is a numerical approach within theory used to predict aerodynamic forces and moments on lifting surfaces, such as wings and control surfaces, by discretizing the into a lattice of discrete vortex elements. These elements, typically modeled as horseshoe or ring vortices, represent the bound vorticity on the surface and the trailing wake, allowing for the computation of distributions and resultant loads. VLM approximates inviscid, fields by applying the Biot-Savart law to determine the velocity induced by each vortex filament at specified control points, enforcing boundary conditions like no normal flow through the surface. Developed in the mid-20th century, VLM emerged as a computational extension of earlier analytical techniques, serving as an intermediary between Prandtl's from the early 1900s and the more comprehensive simulations of full (CFD) that became feasible later. Pioneering formulations appeared in the and gained traction in the with digital computing advancements, enabling practical solutions for complex three-dimensional configurations. In preliminary design, VLM is primarily employed to estimate key aerodynamic parameters, including lift curves, induced drag polar, and stability derivatives, providing rapid insights for configuration optimization without the high computational cost of viscous flow solvers. This method supports evaluations of planar and non-planar lifting systems, such as wings with high-lift devices, aiding in the assessment of performance trade-offs during conceptual phases.

Applications

The vortex lattice method (VLM) is widely employed in design for optimizing configurations, particularly in determining planform shapes and twist distributions to minimize induced drag. By modeling the wing as a lattice of discrete vortices, VLM enables rapid prediction of lift and drag distributions, allowing engineers to iterate on designs efficiently during preliminary phases. For instance, applications include adjusting to achieve elliptical lift loading, which theoretically reduces induced drag by up to 15-20% compared to unoptimized rectangular wings, as demonstrated in early implementations for . In rotorcraft, such as helicopter blades, VLM is applied to predict unsteady aerodynamic loads and blade-vortex interactions, providing insights into airloading and performance under dynamic conditions. The method simulates the wake as trailing vortex sheets, facilitating analysis of hover and forward flight efficiency. For wind turbine design, VLM aids in forecasting blade loading and power output by resolving three-dimensional flow effects on rotor blades, including tip losses and wake interactions, which is crucial for optimizing swept or twisted blade geometries in offshore installations. VLM plays a key role in the preliminary sizing of unmanned aerial vehicles (UAVs) and sailplanes, where its computational speed supports quick iterations on configurations before resorting to more resource-intensive simulations. For UAVs, it estimates aerodynamic coefficients for various mission profiles, enabling trade studies on wing area and to meet requirements. In sailplane design, VLM helps evaluate high-lift-to-drag ratios for thermal soaring, often integrated into tools that model low-Reynolds-number flows typical of gliders. VLM is frequently integrated with panel methods for comprehensive full-aircraft analysis, where it supplies lift distribution data essential for stability and control assessments, such as computing aerodynamic derivatives for models. This combination extends VLM's approximation to include non-lifting surfaces, improving predictions of overall trim and handling qualities without excessive computational cost. Notable examples include NASA's application of VLM variants in the early aerodynamic design of the , where it informed wing-body interference effects and stability margins during subsonic re-entry phases. In modern contexts, open-source tools like XFLR5 leverage VLM for hobbyist glider , allowing users to optimize radio-controlled models for enhanced performance in low-speed flight.

Historical Development

Origins

The vortex lattice method (VLM) traces its conceptual roots to foundational principles in established in the mid-19th century. Hermann von Helmholtz's 1858 theorems on vortex motion provided key precursors by demonstrating that vortex lines in an inviscid fluid remain connected and move with the fluid, laying the groundwork for modeling circulation in aerodynamic flows. These ideas were later extended to lifting surfaces through Ludwig Prandtl's in 1918, which idealized a finite as a bound vortex filament along the span with trailing vortices to account for induced drag and effects. Prandtl's approach marked a shift from two-dimensional to three-dimensional analysis, influencing subsequent discrete vortex representations. The method was formalized as "Vortex-Lattice Theory" by V.M. Falkner in 1943, who applied horseshoe vortices to predict surface loadings on wings. During , advancements accelerated due to demands for propeller and wing performance predictions, with researchers at (predecessor to ) exploring vortex lattices for finite wings; a key milestone was Robert T. Jones's 1940s contributions at NACA, where he applied vortex lattice concepts to compute lift distributions and aerodynamic derivatives for arbitrary planforms. These efforts emphasized horseshoe vortex arrangements to simulate bound and trailing on wing surfaces. Post-war developments refined these models for complex geometries, notably Helmut Multhopp's 1950 method for swept wings, which employed a vortex lattice with the 1/4-chord control point rule to predict lift and distributions under subsonic conditions. This approach extended Prandtl's theory to non-planar and swept configurations, proving effective for early design during the . By the , the advent of digital computers facilitated the transition from analytical solutions to numerical implementations, enabling iterative solving of vortex influence coefficients for practical applications while preserving the inviscid, assumptions of earlier theories.

Key Advancements

In the , the vortex lattice method advanced through the creation of robust computational codes that combined it with panel methods for more comprehensive modeling. A key contribution was the Vortex-Lattice program developed by Margason and Lamar, which computed subsonic aerodynamic characteristics of complex planforms by discretizing wings into horseshoe vortex lattices. Building on this foundation, Maskew's VSAERO code integrated vortex lattices for lifting surfaces with source panels for non-lifting components like fuselages, enabling nonlinear aerodynamic predictions for arbitrary subsonic configurations and marking a shift toward full- analysis. During the 1980s and 1990s, VLM saw broader integration into environments, supporting rapid iterative prototyping in early design phases by automating aerodynamic evaluations within CAD workflows. Concurrently, extensions to rotary-wing applications emerged, with Yeo's research applying unsteady vortex lattice formulations to rotors, capturing blade-vortex interactions and performance metrics to inform optimization. The 2000s brought open-source VLM implementations that enhanced accessibility for research and education. , a MATLAB-based tool developed by Melin at , streamlined vortex lattice simulations for conceptual design, emphasizing user-friendly geometry definition and stability analysis. Complementing this, MIT's Athena Vortex Lattice (AVL) code by Drela extended the method to flight-dynamics modeling of rigid , incorporating unsteady effects and stability derivatives for configurations with multiple lifting surfaces. Post-2010 developments have focused on computational efficiency and hybrid approaches. Coupling VLM with has enabled faster surrogate models for aerodynamic optimization, as in physics-infused neural networks predicting VTOL performance while preserving assumptions. GPU acceleration has further scaled VLM for large lattices, with implementations leveraging fast multipole methods to reduce solution times for unsteady simulations by orders of magnitude. These advancements have shaped regulatory practices, with FAA and EASA guidelines endorsing VLM-based tools for low-speed tasks, such as preliminary stability assessments in unmanned .

Theoretical Foundations

Core Assumptions

The vortex lattice method (VLM) relies on several fundamental assumptions derived from theory to simplify the analysis of aerodynamic forces on lifting surfaces. These assumptions enable the of the flow field into vortex elements while maintaining computational efficiency, but they impose limitations on the method's applicability. A primary assumption is that the flow is inviscid, meaning and its associated effects, such as boundary layers and due to friction, are neglected. This is justified for flows at high Reynolds numbers where viscous effects are confined to thin layers near the surface, allowing the bulk flow to be approximated as governed by . However, this omission can lead to inaccuracies in predicting drag components influenced by or in low-Reynolds-number regimes. The method further assumes incompressible flow, with constant fluid density throughout the domain. This holds well for subsonic speeds below approximately Mach 0.3, where density variations are minimal, simplifying the governing equations to the incompressible form of the equations. At higher Mach numbers, compressibility effects become significant, requiring extensions beyond the basic VLM framework. Another key assumption is the small perturbation approximation, which linearizes the equations around a uniform freestream by assuming small disturbances, such as low angles of attack (typically α << 1 ) and small camber or thickness relative to the chord. This allows the use of linear boundary conditions and superposition of elementary solutions, making the problem tractable but restricting accuracy for high-angle-of-attack flows where nonlinear effects dominate. The slender body approximation posits that geometric variations along the body are gradual, enabling the representation of lifting surfaces as thin vortex sheets without significant thickness contributions to lift. This is valid for elongated configurations like wings with high aspect ratios, where spanwise loading can be effectively modeled, but it breaks down for blunt or highly three-dimensional bodies. Finally, the irrotational wake assumption models the trailing wake as a free vortex sheet that is irrotational except along its discrete vortex filaments, enforcing the at the trailing edge to ensure finite velocities. The wake is typically aligned with the and convected downstream without strength decay, which accurately captures induced effects in attached flows but may not represent rolled-up or curved wakes in more complex scenarios.

Mathematical Basis

The vortex lattice method (VLM) is founded on the principles of inviscid, incompressible, and irrotational flow, where the velocity field V\vec{V}
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