1983
DOI: 10.2514/3.8076
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Numerical solution of transonic stream function equation

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Cited by 43 publications
(11 citation statements)
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“…Just recently, this moment function method has been extended by Liu and Guo [I91 to the inverse design of transonic cascadeslchannels by suggesting a new coefficient-upwinding technique which is a generalization of the artificial compressibility method [17]. Later, following the Liu and Tao's basic idea [4,5,8], a number of methods also employing the von Mises transformation, Eq.…”
Section: -) Methods Based On Image-planementioning
confidence: 98%
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“…Just recently, this moment function method has been extended by Liu and Guo [I91 to the inverse design of transonic cascadeslchannels by suggesting a new coefficient-upwinding technique which is a generalization of the artificial compressibility method [17]. Later, following the Liu and Tao's basic idea [4,5,8], a number of methods also employing the von Mises transformation, Eq.…”
Section: -) Methods Based On Image-planementioning
confidence: 98%
“…(ii) the pressure p can be computed directly from Eq. (5), resulting in two advantages: first, no density ambiguity (double-valuedness) [17] appears; second, for the inverse problem the B.C. (i.e.…”
Section: -) Methods Based On Image-planementioning
confidence: 99%
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“…Alternative formulations to the standard Euler and Navier-Stokes equations can be based on generalized Cauchy=Riemann equations [9][10][11][12], stream functions [33,34], or potential functions with corrections to account for rotational ow ÿelds. In this paper, numerical results are presented based on a hierarchical approach, with the potential ow solver as a base for both inviscid and viscous ows.…”
Section: Discussionmentioning
confidence: 99%
“…(2),(8) and(9) the stream-function-coordinate equation can be obtained:where.3 A, = 2pr ($ ) R sin o / G o For transonic flow the artificial density technique 191 is used instead of the density in the momentum equation. It can be found by where the artificial density sensor p is pj,, = Max[O,(l -c/M2)] here,c is the user-specified constant.…”
mentioning
confidence: 99%