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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 74, 2018 - Issue 3
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Articles

Adaptive inner iteration processes in pressure-based method for viscous compressible flows

, , &
Pages 603-622 | Received 17 Jun 2018, Accepted 18 Aug 2018, Published online: 11 Dec 2018
 

Abstract

In some pressure-based methods, inner iteration processes are introduced to achieve efficient solutions. However, number of the inner iteration is fixed as 2 or 4 for different computations. In this paper, a mechanism is proposed to control inner iteration processes to make the number of inner iterations vary adaptively with different problems. The adaptive inner iteration processes are used in viscous compressible flows. Results reveal that by introducing inner iteration processes, computational efficiency is highly improved compared with that of the solution without inner iteration. In addition, adaptive inner iteration solutions have better robustness than fixed inner iteration solutions.

Nomenclature
A=

Coefficient in the discretized equation

A=

Surface area

b=

Source term

E=

Time step

P=

Pressure

P=

Pressure correction

R=

Gas constant

Rϕ=

Source term caused by pressure

Sϕ=

Source term caused by velocity

T=

Temperature

u,v=

Velocity components in the x- and y-directions

x,y=

Cartesian coordinates

α=

Under-relaxation factor

Γ=

Nominal diffusion coefficient

ρ=

Density

ϕ=

General variable

Δt=

Time step

ΔV=

Volume

Subscripts
e, w, …=

east, west face of a control volume

E, W,…=

East, West neighbor of the main grid point

nb=

Neighbours of the P grid point

P=

Grid point P

Superscripts=
=

Correction field

0=

Values from previous time step or previous outer iteration

*=

Values from intermediate calculation

**=

Final values at present time step or present outer iteration

Nomenclature
A=

Coefficient in the discretized equation

A=

Surface area

b=

Source term

E=

Time step

P=

Pressure

P=

Pressure correction

R=

Gas constant

Rϕ=

Source term caused by pressure

Sϕ=

Source term caused by velocity

T=

Temperature

u,v=

Velocity components in the x- and y-directions

x,y=

Cartesian coordinates

α=

Under-relaxation factor

Γ=

Nominal diffusion coefficient

ρ=

Density

ϕ=

General variable

Δt=

Time step

ΔV=

Volume

Subscripts
e, w, …=

east, west face of a control volume

E, W,…=

East, West neighbor of the main grid point

nb=

Neighbours of the P grid point

P=

Grid point P

Superscripts=
=

Correction field

0=

Values from previous time step or previous outer iteration

*=

Values from intermediate calculation

**=

Final values at present time step or present outer iteration

Additional information

Funding

The present work was supported by the National Natural Science Foundation of China [Grant No. 51206129].” to “The present work was supported by the National Natural Science Foundation of China [Grant No. 51576155] and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China [Grant No.51721004].

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