I am working on my doctor of mechanical engineering at Cleveland State University in Ohio.

I am doing a simulation of food being baked in different types of ovens.

I need to know how Flow Simulation solves the Navier-Stokes equations. I have already seen the tutorials and online help system, and neither describes in full detail how Flow Simuation solves those equations.

Does Flow Simulation use the SIMPLE (Semi-implicit pressure linked equations) method for example?

And how does Flow Simulation use radiative surfaces, and moving surfaces to solve for the variables in the Navier-Stokes equations?

Please attach a file if most efficient.

Have you looked in the Technical reference document: It is typically located here: C:\Program Files\SolidWorks Corp\SolidWorks Flow Simulation\lang\english\Docs on the insstalled computer.

Maybe this sectionis of interest (obviously it didn't paste well but it should be enough to se if thsi is what you want):

Form of the Numerical Algorithm

Let index 'n' denotes the time-level, and '*' denotes intermediate values of the flow

parameters. The following numerical algorithm is employed to calculate flow parameters

on time-level (n+1) using known values on time-level (n):

ρ

* = ρ

(pn+δp,T*,,y*)Here

U= (ρu, ρT, ρκ, ρε, ρy)Tis the full set of basic variables excluding pressurep,

=(u1,u2,u3)u

δ

p = pn+1- pn is an auxiliary variable that is calleda pressure correction. These parameters are discrete functions stored at cell centers. They

are to be calculated using the discrete equations (1.35)-(1.40) that approximate the

governing differential equations. In equations (1.35)-(1.40)

Ah,divh,gradhandLh=div

δ

p. Thisequation is defined in such a way that the final momentum field

ρ

un+1 calculated from(1.35) satisfies the discrete fully implicit continuity equation. Final values of the flowparameters are defined by equations (1.37)-(1.40).(

n)n+ =

Δ

*

*

U U

U - U

n

,

n

,

(1.35)( )

,t t t

ΔL p−Δ

+

Δ

n

h

h

δ

= ρ ρ ρ

* 1 *div u

(1.36)

1(1.37)

t p,hρ

un+ = ρu*−Δ ⋅gradδ+1 =p

nn

pn+δp ,(1.38)ρ

Tn+1 = ρT*,ρκn+1= ρκ *,ρεn+1 = ρε *,ρyn+1= ρy*,(1.39)ρ

n+1 = ρ (pn+1,T n+1,yn+1 ).(1.40)To solve the asymmetric systems of linear equations that arise from approximations of

momentum, temperature and species equations (1.35), a preconditioned generalized

conjugate gradient method (Ref. 9) is used. Incomplete LU factorization is used for

preconditioning.

Iterative Methods for Symmetric Problems

To solve symmetric algebraic problem for pressure-correction (1.36), an original

double-preconditioned iterative procedure is used. It is based on a specially developed

multigrid method (Ref. 10).

Chapter Numerical Solution Technique

1-36

Methods to Resolve Linear Algebraic Systems

Iterative Methods for Nonsymmetrical Problems

A

h p S

t

hgradhare discrete operators that approximate the corresponding differential operatorswith second order accuracy.

Equation (1.35) corresponds to the first step of the algorithm when fully implicit discrete

convection/diffusion equations are solved to obtain the intermediate values of momentum

and the final values of turbulent parameters, temperature, and species concentrations.

The elliptic type equation (1.36) is used to calculate the pressure correction

Tis the velocity vector,y= (y1, y2, ..., yM)Tis the vector of componentconcentrations in fluid mixtures, and