Encyclopaedia Index

## S V Zhubrin, of CHAM-MEI, Moscow

### ABSTRACT

X-Cell is a development of the Conservative Low-Dispersion Algorithm (CLDA), which has been attached to PHOENICS for several years. Whereas CLDA was exemplified only for scalar variables, X-Cell applies also to hydrodynamic variables, i.e. velocity components and pressure.

This paper is the first publication about X-Cell. Its aim is to explain the nature of the algorithm, and to report some preliminary results of its use.

Detailed comparison with staggered-grid PHOENICS is made for:

1. the square cavity with a moving lid, and
2. the cylinder in cross-flow.

The potential advantages of using X-Cell are discussed.

### Contents

1. Introduction
1.1 The current hydrodynamic algorithms of PHOENICS
1.2 What a superior algorithm should provide
1.3 The X-Cell concept

2. The mathematics of X-Cell
2.1 The grid
2.2 The equations
2.3 The solution procedure

3. The square-cavity study
3.1 The cases considered
3.2 Results of computations
3.3 Comparisons with standard PHOENICS

4. The cylinder in cross-flow
4.1 The cases considered
4.2 Results and comparisons with standard PHOENICS

5. Discussion
5.1 Concerning the cases presented
5.2 Concerning other already-achieved results
5.3 Concerning prospects and needs for the future

6. Conclusions

7. Further notes by dbs June 2010

### 1.1 The current hydrodynamic algorithms of PHOENICS

PHOENICS currently possesses two methods of solving the Navier- Stokes equation, namely:-
1. SIMPLEST, solving for velocity resolutes on a staggered grid;
2. CCM, which solves for collocated covariant projections of velocity.
All of these can operate with Cartesian, cylindrical polar or BFC grids.

Each of the methods has its advantages and disadvantages.

### Method (1)

is by far the most widely used, and the best validated; but its BFC manifestation has, until version 2.2, exhibited inaccuracies for strongly non-orthogonal grids.

### Method (2)

has been rather little used; and, until version 2.2, it was rather slow to converge.

### Method (3)

is the only method to be fully compatible with the multi-blocking and fine-grid-embedding features of PHOENICS; but its convergence has also been rather slow.

All methods employ more computer storage, and more computer time, when the grid is body-fitted.

Note by dbs, June 2010:
Since only two methods are introduced above, what was meant in 1996 by method 3 is unknown; but in 2010 it is no longer important.

BFC grids are most frequently employed when bodies possessing curved surfaces are immersed in the flow; or when the bounding containment walls are themselves curved.

PHOENICS can handle curved-surface situations with Cartesian or polar grids; but finer grids are needed, if the curvature is to be adequately represented, than if a BFC grid is used.

If however, the hexahedral cells employed by PHOENICS could be supplemented by triangular prisms, or pyramids, the task of representing curved-surface bodies in not-too-fine Cartesian grids would be greatly eased.

### 1.2 What a superior algorithm should provide

1. If a further algorithm is to be added to those already possessed by PHOENICS, it follows that it should enable triangular-prismatic or pyramidal cells to be employed, at least near solid surfaces.

2. All numerical algorithms are subject to some extent to inaccuracies resulting from "false diffusion". This affliction can be combatted by special "higher-order schemes"; but it would be better if the basic algorithm were inherently less prone to the disease.
Therefore, any new algorithm should, if possible, possess some inherent anti-diffusion features.

### 1.3 The X-Cell concept

The X-Cell algorithm, which is the subject of the present paper, appears to be capable of providing the two ingredients required of a superior algorithm; for:

1. it allows the use of triangular-prismatic and pyramidal cells; and
2. it enjoys the anti-diffusion characteristics of its forerunner, the Conservative Low-Dispersion Algorithm.

To proceed from CLDA to X-Cell, two steps have had to be made, namely:-

• to provide a formulation for the diffusion fluxes between sub-cells; and
• to provide pressure-velocity links.

These steps have been taken, as will be described below.

What has resulted is a somewhat unusual formulation, with the following characteristics:-

• all variables are collocated (i.e. stored at the same point), EXCEPT for pressure, which occupies locations of its own;

• fewer pressure values are stored and computed than velocities or any other variables, namely one half as many in one-dimensional problems, one quarter in two-dimensional problems and one sixth in three-dimensional ones;

• the pressures are stored at different locations form those of other variables, so that THE ADVANTAGES OF STAGGERED GRIDS, e.g. for porous-medium flows, ARE RETAINED.

### 2.1 The grid

```
|\-------/|
The X-Cell grid, the shape of         | \  +  / |
which explains the name of the        |  \   /  |
algorithm, can be represented in      |   \ /   |
two dimensions as indicated on        | +  O  + |
the right of this text.               |   / \   |
|  /   \  |
In three dimensions, the triangular   | /  +  \ |
prisms are replaced by pyramids.      |/-------\|     ```

The X-Cell grid is the same as that of CLDA.

Pressures are stored at the centre points marked o. All other variables are stored at the points marked +.
In general, each six-sided cell contains six sub-cells adjacent to the north, south, east, west, high and low faces.

In time-dependent flows, a further sub-division in the difficult-to-portray time dimension is possible.

### (a) The convection terms

The mass fluxes from one sub-cell to another are the same as for CLDA, namely:

```
^
that from W to N is 0.5*(w + n);             |\---|n--/
| \  +  /|
that from N to E is 0.5*(e - n);             |  \ N / |
w   \ /  e
that from W to S is 0.5*(w - s); and    +WW-->+W O E+-->
|   / \  |
that from S to E is 0.5*(s + e)              |  / S \ |
| /  +  \|
|/---^s--|
Upwind values of all sub-cell variables           |
are used for the convection terms in the
balance equations.     ```

In CLDA, the w, n, e and s fluxes were computed directly from the solved-for staggered velocity components.

In X-Cell, w is computed from the distance-weighted mean of the x-direction velocities at sub-cell locations WW and W.

Corresponding weighted-mean formulae are used for n, e, s, and (for 3D) h and l.

### (b) The diffusion terms

```
^
|\---|n--/
The diffusion flux between WW and W           | \  +  /|
is proportional to phiWW - phiW ;             |  \ N / |
fluxes at n, s and e are computed             w   \ /  e
similarly.                               +WW-->+W O E+-->
|   / \  |
phiO (centre-point value) is then defined     |  / S \ |
as the weighted averaged of phiW, phi         | /  +  \|
phiS and phiE.                                |/---^s--|
|
The diffusion flux from W to N is computed from the Cartesian
components proportional to phiW - phiO, and phiO - phiN,
W, N, S and E being located at the centroids of the sub-cells.

Computation of associated distances and transport properties
corresponds in an obvious manner to the above choices
```

### (c) The pressure-gradient terms

DIAGRAM 1
The velocities uWW and uW both experience momentum sources equal to 0.25 * (pOW - pO) * the normal-to-x cell area ( for uniform grid)

The velocities uNW, uSW, uN and uS all experience momentum sources of one half that value.

The latter velocities all experience further momentum sources from pressure differences which they share with nodes farther west or farther east.

v and w velocities are handled similarly.

Distance-weighting is used for non-uniform grids.

### (d) The source terms

Sources due to chemical reaction, radiation, gravity, ohmic heating and electromagnetic effects are given values proportional to sub-cell volumes.

Turbulence-energy generation terms are computed in the same way as for CCM, with appropriate distribution between sub-cells.

Distributed-resistance momentum sources are given values proportional to cell volumes.

Wall boundary conditions are computed as sources in obvious ways, only the near-wall sub-cell being involved.

### 2.3 The solution procedure

All sub-cell values are currently solved point-by-point.

This is a temporary measure, to be replaced by SIVA-like procedures in the next stage of development.

SIVA (= Simultaneous Variable Adjustment) was the favoured Imperial College algorithm until displaced by SIMPLE. It has many merits, and is due for revival.

Pressure is solved whole-field, as in SIMPLE, whereafter the convection velocities (w, n, s, e above) are corrected to ensure continuity satisfaction.

These corrections are shared also between the sub-cell velocities.

### 3.1 The cases considered

The square-cavity-with-moving-lid problem has been solved for the Reynolds number of 400. Heat transfer between the moving lid and the bottom surface has been included.

Uniform grids have been employed, with NX and NY equal to each other and (in successive runs) to 11, 21, 31, 41, 51, 61, 71, 81, 91, and 101.

The number of sweeps used has been sufficient for convergence for all the grids, except possibly that with NX = 101. Several thousand sweeps were used for the larger grids, because the (provisional) point-by-point treatment makes convergence slow.

### 3.2 Results of computations

A selection of the results displayed will first be shown by way of contour and vector plots.

Thereafter some numerical results will be presented, which enable their accuracy to be compared with those provided by the standard PHOENICS algorithm, which employs a sta(1))ggered Cartesian grid.

What will first be shown are the vectors deduced from then mass-flux velocities, followed by contours of longitudinal velocity for each of the sub-cells.

The grid has NX = NY = 21 .

Mass velocity vectors and east sub-cell longitudinal velocity contours

West sub-cell and north sub-cell longitudinal velocity contours

South sub-cell and cell=averaged longitudinal velocity contours

### Numerical results, 1

The following table shows the values of the minimum velocity on the centre line in the lid-movement direction, for various values of NX.

Below the values from the X-Cell solutions are those for standard PHOENICS.

```
NX      11    21    31    41    51    61    71    81    91   101
XCell -.187 -.267 -.302 -.317 -.322 -.329 -.329 -.329 -.3.. -.317
Stnd. -.149 -.210 -.259 -.285 -.301 -.312 -.317
```
It should be noted that the X-Cell results for the larger grids may not be completely converged.

### Numerical results, 2

The following table shows the values of Nusselt Number for the top wall, times 0.5, for various values of NX.

Below the values from the X-Cell solutions are those for standard PHOENICS.

```
NX      11    21    31    41    51    61    71    81    91   101
XCell   2.28  2.48  2.63  2.61        2.55  2.53  2.64       2.34
Stnd.   2.15  2.134 2.16  2.25  2.25  2.27  2.28
```
It should be noted that the X-Cell results for the larger grids may not be completely converged; for the scalar-equation solution procedure, at present, is slower than that of the momentum equations.

### 3.3 Comparisons with standard PHOENICS

Inspection of the table containing minimum-velocity data suggests that:

1. The X-Cell results for NX=NY=61 probably represent the most accurate ones; for those with finer grids reveal irregularities suggestive of incomplete convergence.

2. Standard PHOENICS needs appreciably finer grids to achieve comparable accuracy.

3. However, since X-Cell for a given NX stores (nearly) four times as many dependent variables as does standard PHOENICS, the accuracy improvement is no more than in proportion to the number of these variables.

4. Therefore, although X-Cell is always superior for a fixed number of pressure variables, it may be that pressure plays such an important part in changing the direction of the flow in the cavity, that it is the number of pressure cells which is critical in this case.

Inspection of the table containing heat-transfer-coefficient data suggests a rather greater superiority for X-Cell, in that it achieves the value of 2.28 with NX=11, whereas standard PHOENICS reaches that value only for NX=81.

This is understandable; for the thin boundary near the moving lid is decisive for heat transfer; and the distance from the wall to the nearest sub-cell is one-third for X-Cell of what it is for standard PHOENICS.

### 4.1 The cases considered

One of the potential advantages of the X-Cell algorithm is that it may permit curved-boundary problems to be solved adequately with Cartesian or polar grids rather than body-fitted ones.

Therefore, one of the flow situations which has been chosen for simulation with the aid of X-Cell is the steady flow over a circular-sectioned cylinder.

Of the various cases investigated, results for the following will be presented.

1. Flow past a cylinder at a Reynolds Number of 40, with a 36 * 13 Cartesian grid, computed by the X-Cell algorithm.

2. The same flow, with a BFC grid having the same number of cells, computed by the standard staggered-grid algorithm.

3. The same flow, computed by the X-Cell algorithm, with a coarser Cartesian grid, of 27 * 13 cells

4. The same flow, computed by the X-Cell algorithm, with a finer Cartesian grid, of 60 * 30 cells

From comparison of (1) and (2), it is hoped to determine whether X-Cell with a Cartesian grid can produce results of an accuracy comparable with those from standard PHOENICS with a staggered BFC grid.

From the successive grid refinements of cases (3) and (4), it is desired to establish how fine a grid is needed for grid- independent solutions to be achieved.

### 4.2 Results of computations

First the 36 * 13 grids will be shown.

Then the velocity vectors, longitudinal-velocity contours and temperature contours will be presented.

Finally the recirculation-length data will be reported, for all three grid finenesses.

BFC and X-Cell Cartesian grids employed (36*13)

The following figures compare the solutions in respect of velocity and temperature fields.

BFC and X-Cell-grid velocity vectors NX*NY = 36*13

Longitudinal Cartesian velocity contours for the BFC and X-Cell grids

Temperature contours BFC and X-Cell grids, NX*NY = 36*13

The influence of grid fineness on the recirculation length has been found to be as follows:-

 NX * NY X-Cell BFC Measured 27*13 2.3 1.15 2.75 36*13 2.6 1.25 2.75 60*30 2.8 1.5 2.75

It is evident that the coarsest X-Cell grid produces better results than those from the finest BFC grid.

### 5.1 Concerning the cases presented

The work on the square cavity has shown that X-Cell produces more accurate results than standard PHOENICS when both are using upwind differencing.

It is true that higher-order schemes, which are available in the Advanced Numerical Algorithms option of PHOENICS, will improve the staggered-grid solutions, whereas such schemes have not yet been devised for X-Cell.

Nevertheless, the superiority of X-Cell over standard PHOENICS is such that an X-Cell solution is often more accurate than a standard PHOENICS solution with twice the number of cells in every direction; and it also uses less computer storage.

The slowness of convergence of the X-Cell algorithm at the present time has to be admitted; but it is an eradicable and therefore temporary feature.

Many means are available for introducing greater implicitness into the solution procedure; and, now that the inherent accuracy and stability of X-Cell has been established, attention will immediately be given to introducing these means.

PHOENICS has in any case too long suffered the disadvantages of the sequential mode of solving for one variable after another.

For chemical reactions, for multi-phase flow, for advanced turbulence models, and for many other circumstances in which strong interactions exist between different variables associated with the same cell, sequential solution is NOT the best.

X-Cell may provide the stimulus which leads to an appropriate consideration of variable-to-variable links.

The results presented for the circular-cylinder flows are probably even more significant; for they suggest that curved-boundary flows may be computed more accurately with coarse Cartesian X-Cell grids than with BFC grids with greater numbers of cells.

"Suggest" is the right word; for there are many more cases which should be tried before a firm conclusion can justifiably be drawn.

The exploration of a wider range of examples is a matter of great urgency.

Three examples of practical applications of X-Cell will now follow.

Comparisons with experimental data or BFC solutions have not yet been made.

1. X-junction carved in block (NB: PHOTON does not understand the diagonal blockages )

Velocity vectors and temperature contours

2, The flow in a chamber with inserts of irregular shapes

The flow over a cylinder and an airfoil

### (a) Dimensionality

Most of the examples shown in the present paper have concerned the XY plane; however, X-Cell has been introduced into PHOENICS in a general manner; and tests have shown that the implementation involving the Z-direction is just as satisfactory.

Although X-Cell is easiest to describe for two-dimensional situations, it is valid also for one- and three-dimensional ones.

The following picture shows an example of a three-dimensional calculation, the purpose of which is to illustrate the low- dispersion characteristics of X-Cell, which it inherits from CLDA. The grid is 5 x 5 x 5.

This is an example of low dispersion behaviour of pyramidal Std. PHOENICS solution sub-cells.

- Velocity components are fixed at U1=V1=W1=sqrt(3)/3 - Step scalar discontinuity X-Cell CLDA solution along the diagonal plane

45 degree step change X-Y-Z

### (b) Conjugate heat transfer

The X-Cell algorithm handles without difficulty the transfer of heat from solid to fluid, whether the boundaries are aligned with the main-cell walls or with their diagonals.

### (c) Solid-stress analysis

PHOENICS has, for several years, been able to compute the displacements (and therefore strains and stresses) within solids immersed in fluids, simultaneously with the velocities, pressures and temperatures which give rise to those displacements.

This capability is incorporated in the solid-stress option of PHOENICS.

The option has been little used, so far; and one of the reasons is that its satisfactory working has been GUARANTEED only for Cartesian grids, whereas potential users have argued that curved surfaces demand body-fitted coordinates.

X-Cell has already been extended to problems in which stresses are solved for in the immersed solids, simultaneously with the velocities, etc, in the fluids themselves.

Because X-Cell is able to represent curved boundaries in Cartesian grids rather successfully, as has been shown above, it may provide what the PHOENICS solid-stress option needs to secure acceptance.

The next two examples are of the solid and stress calculations using X-Cell grids both for fluid flow and solid-in-stress calculations.

Temperature contours, displacement vectors and stress contours in the solids

### (a) Prospects

On the basis of experience so far, there are good prospects that:

• X-Cell may become the most widely used algorithm in PHOENICS;

• for flows with immersed solids, it will be combined with ASAP, which easily locates curvaceous bodies within Cartesian grids;

• the computation of the stresses within those solids will become commonplace;

• X-Cell will use SIVA-like solution strategies;

• X-Cell will be used for error-estimating and thereafter for adaptive fine-grid embedding;

• X-Cell will be combined with multi-blocking and unstructured meshing.

### (b) The need for simplified program set-up

At present, the user of X-Cell is required to introduce commands into the Q1 file which allocate storage for the sub-cell variables, which activate special XCEL and DPXCEL patches, etc.

Such features are appropriate to an algorithm which is under development; but, if X-Cell is to be frequently used, it must suffice for users to insert XCEL=T in their Q1 files.

XCEL=T may indeed become the default setting.

Then the additional storage must be automatically provided; and boundary-condition data which users have supplied as though they were employing a staggered grid must be automatically translated into boundary conditions for sub-cell variables.

### (c) The need for full physics

At present, X-Cell has been applied only to laminar flows, of which the viscosity and Prandtl-Schmidt numbers have been uniform within the fluid.

Extension to non-uniform fluid properties presents no difficulties; but it remains to be done; and, as is always the way, doing so will necessitate some re-thinking of the methods of computing and using properties within PHOENICS.

Turbulent-flow simulation will require the energy-generation terms to be coded; and wall-function strategies for walls coinciding with cell diagonals will have to be devised.

Two-phase, multi-phase and free-surface features are still to be activated in X-Cell; and chemical reaction, radiation and other processes require to be exemplified.

### (d) The need for a cylindrical-polar X-Cell formulation

So many items of engineering equipment are tubular in form that the CARTES=F setting is frequently selected in the Q1 files of PHOENICS.

Even though X-Cell can, it appears, handle curved boundaries rather satisfactorily, it would be perverse therefore to refrain from adapting it to polar-coordinate grids.

The question of whether the sub-cell velocity variables should be those aligned with the grid or remain as the Cartesian components is an open one; and, provided that care is taken in formulating the algebraic equations, the solutions should be the same in both cases.

One special argument favours the choice of the Cartesian components: it would be a useful step on the road to X-Cell-BFC.

### (e) The need to allow some body-fitting

Despite the prospect of being able to dispense with BFC grids in many circumstances in which they are currently used, it is to be expected that the requirement for some body-fitting will remain,

For example, flow in a turn-around duct, or in a sinuous tube, will be best simulated by means of a grid which follows the duct or tube shape.

There will therefore inevitably be some pressure to develop a BFC version of X-Cell; and no difficulties of principle appear to stand in the way.

Probably the method will use the Cartesian components as the velocity variables.

### (f) The need for extensive validation

Finally it must be recognised that PHOENICS users will have confidence in the X-Cell algorithm only when the validity of the flow simulations which it produces has been extensively demonstrated.

What has been presented here, even augmented by other work which has been done but nor reported, falls far short of what is needed.

### 6. Conclusions

1. The comparisons between the X-Cell and staggered-grid predictions for the square cavity show that X-Cell provides significantly greater accuracy, for a given computational expense.

2. The comparisons between the X-Cell and BFC calculations for the cylinder in cross-flow have shown that the accuracy of the X-Cell solutions is comparable with those made with BFC grids of comparable number of cells.

3. The speed of convergence is slower for X-Cell than for standard PHOENICS; but the reasons are known, and can be removed.

4. The prospects for the future of X-Cell are good; but much validation work is still needed.

### Acknowledgements

The assistance of Mr Nikolay Pavitsky, of CHAM-MEI, in the development of the Fortran coding embodying the X-Cell algorithm, is gratefully acknowledged.

This work has been funded by Concentration Heat and Momentum Ltd.

## Further notes by dbs June 2010

Contents:

### 7.1 Developments since 1996

The X-Cell capability described above was not then attached to the delivery version of PHOENICS because the concurrent developments connected with the 'Virtual-Reality' user interface were judged to constitute as much novelty as users could then be expected to tolerate.

Although this suspension was then thought of as being temporary, it has in fact lasted until the present day (June 2010).

Many other developments have since 1996 been been attached to PHOENICS, including:

• GCV, deemed to be a superior version of handling body-fitted-co-ordinate problems,
• PARSOL, which enables bodies with curved surfaces to be handled without use of body-fitted co-ordinates;
• MIGAL, which provides some acceleration of convergence (at the expense of an increased computer-memory requirement) by the use of a multi-grid-solver attachment;
• In-Form, which enables far-reaching changes to be made in the equations to be solved, and in the methods of solving them, without the introduction of any new coding; and
• USP, i.e. unstructured PHOENICS, which still further advances the range of problems which can be economically solved.
When considering whether renewed attention should be given to X-Cell, it is therefore proper to study whether any of the above-listed features would be favourably or adversely affected by it. This study now follows, item-by-item.
1. GCV. Neither CLDA not X-Cell have been implemented for BFC situations; and indeed X-Cell is presented above as an alternative to use of body-fitted coordinates for curved-surface objects. Now that PARSOL is available, it appears unlikely that either CLDA or X-Cell will be used in conjunction with GCV or any other BFC option.

2. PARSOL. PARSOL divides hexahedral cells into two parts, whereas X-Cell divide them into four or eight. It therefore seems probably that combination of PARSOL with X-Cell can be effected by changing the shapes of the latter sub-cells so as to fit the cell-intersecting body surface.
Compatibility between the two techniques should therefore be easy to contrive.

3. MIGAL. MIGAL, on the other hand, being a package created for a standard PHOENICS grid (and not by CHAM), will probably be impossible to combine with X-Cell. No further attention will therefore be given to this possibility; but some other kind of multi-grid acceleration may nevertheless be contrived in due course.

4. In-FormThe In-Form feature is likely to prove advantageous to further X-Cell development, particularly by way of its ability to permit experimentation with algorithm modifications.
Even if accepted modifications are finally implemented by way of Fortran, the use of In-Form will certainly facilitate their testing.

5. USP. Unstructured PHOENICS employs hexahedral Cartesian cells, which may easily be further split in the X-call manner. The fact that they are divided presents no especial difficulty, as the following sketch shows:

### 7.2 Advantages provided by X-Cell

The USP grid was first set up for solving for velocities in a 'collocated' manner, by which is meant that the cells used for momentum balances were the same as those used for scalar balances.

Later, for reasons connected with the easier procurement of convergence, a staggered-grid formulation was employed, which is indeed the currently-preferred method.

The X-Cell formulation, it can now be recognised has the desirable features of both collocated and staggered grids, in that:

1. it uses the precisely the same cells for velocities as for scalars (which simplifies the coding); and
2. its pressures are located in positions which cause a rise in their values to diminish the mass inflow to their cells (which is the convergence-promoting characteristic of the staggered formulation, which however the collocated one lacks).

If to this is added the low-numerical-diffusion feature afforded by the diagonal splitting of the cells, the adoption of X-Cell for both structured and unstructured PHOENICS appears to be very advantageous.

### 7.3 Solution procedures for scalars

The solution procedures adopted for the 1996 publication were extremely crude, being devised for speed of development rather than computational economy. If X-Cell is to be adopted generally for structured and unstructured PHOENICS, economical solution procedures must be sought and implemented.

Several suggest themselves, the most obvious being the use of a conjugate-gradient solver, which can certainly handle all the equations which are involved. However, this may not be the most efficient procedure; therefore some attention should be given to some others, as follows:

• Point-by-point procedure are easy to implement, byt usually rather slow, whether used in a Jacobi- or Gauss-Sediel-like manner. Less slow would however be the simultaneous solution for all six sub-cell values in terms of the values in the six neighbouring sub-cells with which are in contact. Careful algebraic manipulation could achieve this more efficient than the use of a conventional 6*6 matrix in version.
• With somewhat more care and manipulation, all twelve unknowns could be determined simultaneously, in terms, of course, of more remote values
• That having been achieved, it would become thinkable to devise a TDMA-like procedure which would solve simultaneously all the variable in a column of cells.
• The general idea to follow is that, by exploiting the particular features of the equations connecting the X-Cell sub-cells, faster solutions could be obtained than by way of 'brute-force' solvers which do not exploit that knowledge.

### 7.4 Solution procedures for velocities

The equations for velocity can be solved in precisely the same way as for scalars, the differences being only:
• that the sources of momentum contain pressure-gradient terms; and
• that it is necessary to compute and store the dvel/dp terms, i.e. the rates of change of velocity with pressure, which are needed for later use in the pressure-corrections equation. The following diagram helps to explain which velocities are influenced by which pressures:

Here it should be noted that uWW, uW, uN and uS are solved-for velocities, whereas uw is a derived velocity used for the calculation of mass fluxes.

### 7.5 Solution procedures for pressure

The pressure, or rather the pressure correction, can be solved in the manner of the SIMPLE algorithm, namely:
• the mass-imbalances associated with the calculated derived velocities are computed;
• the coefficients in the pressure-correction equation are deduced from the rates of change with cell-centre pressure (pO, pOW, pON, etc);
• pressure corrections are then computed by way of the linear-equation solver built into PHOENICS;
• then the solved-for velocities are adjusted by way of the stored dveldp values.

Thay is not the only way which may be envisaged. Thus the SIVA (= SImultaneous-adjustment-of-VAriables) method might be adapted in which all the velocities associated with a hexahedral cell are eliminated from the cell's continuity equation by substitution from their momentum equations; then adjustment are carried out systematically and repeatedly over all the cells in the domain until all imbalances are sufficiently small.

This method and others have many variants, published and unpublished. How they well they will work for the unconventional X-Cell situation remains to be investigated.

### 7.6 The way forward

Although there is no reason to believe that any great difficulties will be presented by its application to USP, progress will probably be swifter if structured PHOENICS is used as the first test vehicle;

Whatever solution procedures are investigated, it is probable that use of In-Form will provide the best means of experimentation.

Lastly, since the name X-Cell can be to easily confused with that of the Microsoft Excel program, it will probably be wise to employ a different name for the algorithm (or set of algorithms) to studied.

It is suggested that SIMPLE-X is suitable; and probably the hyphen will soon be omitted.