2008
DOI: 10.1002/fld.1767
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A Taylor series‐based finite volume method for the Navier–Stokes equations

Abstract: SUMMARYA Taylor series-based finite volume formulation has been developed to solve the Navier-Stokes equations. Within each cell, velocity and pressure are obtained from the Taylor expansion at its centre. The derivatives in the expansion are found by applying the Gauss theorem over the cell. The resultant integration over the faces of the cell is calculated from the value at the middle point of the face and its derivatives, which are further obtained from a higher order interpolation based on the values at th… Show more

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Cited by 7 publications
(3 citation statements)
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References 16 publications
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“…These distances are comparable to those in previous publications, for example in Wu & Hu (2008) [29] and are sufficient to neglect the effects of the boundary truncation far upstream and downstream of the cylinder. For the cases with the wall and symmetry boundaries, the top boundary is located at a height of 10D from the centre of the cylinder.…”
Section: Problem Setupsupporting
confidence: 85%
“…These distances are comparable to those in previous publications, for example in Wu & Hu (2008) [29] and are sufficient to neglect the effects of the boundary truncation far upstream and downstream of the cylinder. For the cases with the wall and symmetry boundaries, the top boundary is located at a height of 10D from the centre of the cylinder.…”
Section: Problem Setupsupporting
confidence: 85%
“…All the variables are defined at the centre of each cell. The values required at each cell face are obtained through interpolation from the centres of the two cells that share this face [20].…”
Section: Governing Equations and Numerical Methods For Fluid Flowmentioning
confidence: 99%
“…The L 1 and L ∞ norm errors of a channel flow, which is taken from [31], is used to evaluate the calculation accuracy of the present method. The channel flow is driven by a constant pressure gradient d p/dx in a rectangular channel domain with an exact solution of…”
Section: Channel Flowmentioning
confidence: 99%