Proceedings of the Second International Conference on Numerical Methods in Fluid Dynamics
DOI: 10.1007/3-540-05407-3_15
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Accurate numerical methods for boundary layer flows I. Two dimensional laminar flows

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Cited by 90 publications
(67 citation statements)
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“…The initial conditions at ξ = 0, which correspond to the steady Hiemenz flow and its quasi-steady linear perturbation, take the form of ODEs in η, which were solved using a fourth-order Runge-Kutta method. The solution was then obtained by marching downstream using a Keller Box scheme (Keller & Cebeci, 1970) for both the mean flow, given by a nonlinear PDE (3.5), and the linearised disturbance equations for symmetric and anti-symmetric components, (4.4). From the asymptotic form of the eigensolutions, it is clear that the growth or decay of the disturbance is very sensitive to the mean flow.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The initial conditions at ξ = 0, which correspond to the steady Hiemenz flow and its quasi-steady linear perturbation, take the form of ODEs in η, which were solved using a fourth-order Runge-Kutta method. The solution was then obtained by marching downstream using a Keller Box scheme (Keller & Cebeci, 1970) for both the mean flow, given by a nonlinear PDE (3.5), and the linearised disturbance equations for symmetric and anti-symmetric components, (4.4). From the asymptotic form of the eigensolutions, it is clear that the growth or decay of the disturbance is very sensitive to the mean flow.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Under these assumptions, the governing differential equations are transformed into a form amenable to numerical solution. These equations are non-similar and they are solved using a very efficient finite-difference method known as Keller-box method developed by Keller and Cebeci [14]. Solutions of the velocity and enthalpy distributions are obtained from which estimates of the skin friction coefficient and local Nusselt number can be obtained.…”
Section: Introductionmentioning
confidence: 99%
“…laving solved the problem for Z = 0, a Crank-Nicolson procedure In Z (or ) was adopted. Overall, the numerical differeicing scheme was based on that of Keller and Cebeci (1971). At each Z (or ) statlos, first the steady system was computed, with Newton iteration being used to treat the non-linearity in the problem.…”
mentioning
confidence: 99%