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Rowan University / CFD / Spring 2025

Rocket Nozzle CFD.

Resolving the flow.
Understanding the thrust.

A team study of supersonic flow through the AeroTech J350W rocket nozzle, using ANSYS Fluent to connect nozzle geometry, mesh quality, solver behavior, and propulsion performance.

ANSYS Mach-number contour showing a supersonic rocket exhaust plume and shock diamonds
The final Mach contour · shock structure in the modeled exhaust plume
Model
2D axisymmetric · ANSYS Fluent
Reported thrust
762.5 N
Reference comparison
9.4% below 841.4 N peak
Development
17 documented mesh versions

01 / The project

A rocket motor, studied through its flow field.

The objective was to model expansion through a solid rocket motor nozzle, resolve the supersonic plume, and estimate thrust from the nozzle-exit flow properties.

The AeroTech J350W provided a commercial motor with reference thrust data for comparison. Our team used a simplified axisymmetric model to explore how the domain, mesh, boundary conditions, and numerical methods affected the result.

The team

Zach Pedrick, James Lee, and Glen Vosgerichian · Rowan University · Spring 2025.

This page presents our shared team study. The report does not assign individual responsibilities, so the work is credited collectively.

What the study brought together

  • Geometry simplification and external-domain sizing.
  • A grid study with nozzle-exit quantities and mesh-quality metrics.
  • Chamber-pressure estimates and pressure-inlet conditions.
  • Solver and turbulence-model selection for compressible flow.
  • Thrust calculation and comparison with a published peak value.
Read the original explanation · PDF p. 4 ↗

02 / Geometry & domain

Simplify the model while preserving the nozzle and plume.

The initial domain included the internal combustion chamber and a large surrounding region. Early runs showed that this added computational cost without improving the flow resolution near the exit.

Motor technical drawing reproduced in the report
Motor technical drawing reproduced in the report · PDF p. 5 ↗

The team removed the combustion chamber and applied a pressure inlet directly at the nozzle entrance. A half-section, treated as axisymmetric, retained the rotational geometry while reducing the computational problem to two dimensions.

Refined axisymmetric nozzle and external domain
Refined axisymmetric nozzle and external domain · PDF p. 6 ↗

A smaller external region

The surrounding domain was reduced while retaining space for plume expansion. A region above the nozzle allowed the exhaust’s interaction with ambient air to appear in the solution.

Inlet, walls, axis, farfield, and pressure-outlet boundaries
Inlet, walls, axis, farfield, and pressure-outlet boundaries · PDF p. 7 ↗

The boundary layout distinguishes the inlet, solid walls, symmetry axis, farfield region, and pressure outlets. Combustion itself was outside the model: inlet conditions represented its effect on the nozzle flow.

Read the original explanation · PDF p. 5 ↗

03 / Grid development

Refinement had to improve the solution, not just add elements.

The team documented 17 mesh versions, adjusting element type, edge sizing, and biasing. Critical regions included the throat, nozzle exit, and expanding plume. The final approach favored quadrilateral elements and a structured multizone mesh.

Final nozzle mesh and local refinement
Final nozzle mesh and local refinement · PDF p. 10 ↗

Quality checks included aspect ratio, skewness, and orthogonal quality. Local throat sizing reached 0.1 mm in the study, while reducing the external domain helped control the overall element count.

Comparing the flow across meshes

The grid study examined Mach number along the centerline and velocity, pressure, and density at the nozzle exit. Averaged exit quantities and thrust provided another view of how the solution changed with element count.

Mesh comparison: Mach number along the centerline
Mesh comparison: Mach number along the centerline · PDF p. 9 ↗
Mesh comparison: nozzle-exit velocity
Mesh comparison: nozzle-exit velocity · PDF p. 9 ↗
Mean exit density versus mesh element count
Mean exit density versus mesh element count · PDF p. 10 ↗
Calculated thrust versus mesh element count
Calculated thrust versus mesh element count · PDF p. 10 ↗
Five mesh-study cases summarized in the report
CaseElementsAspect ratioSkewnessInitial outcome
170,5021.77970.0559Converged
2141,7711.98610.0626Did not converge
3381,8802.78080.0752Did not converge
4187,4332.05550.0652Did not converge
527,9801.35570.0296Converged

Mesh 2, identified as iteration 13, was selected at approximately 142,000 elements. Its continuity residual had not converged during the grid-study stage; the team retained it and continued changing solver settings. The final residual history appears in the solver section below.

Mesh and solver development were linked.

The grid-study plots suggested diminishing changes in several exit quantities. However, unresolved continuity in the selected grid limits how strongly that stage alone establishes mesh independence.

Read the original explanation · PDF p. 7 ↗

04 / Boundary conditions

Estimating what enters the nozzle.

The inlet required chamber pressure and temperature representative of motor operation. The report used OpenMotor’s White Lightning propellant data to support estimates, then explored three methods for chamber pressure.

Average-flow estimate

Using propellant mass, burn time, throat area, and characteristic velocity gave an estimated 742 psi chamber pressure.

Burn-area relation

A relation using grain burn area and propellant parameters gave 530 psi. Low calculated thrust prompted further investigation.

Reference-thrust method

The team used published J350W thrust data with a nozzle-thrust relation to infer pressure. The final inlet used an initial value of 1,738 psi.

Fixed operating point

The simulation used fixed inlet conditions and ambient outlet conditions, representing a steady operating point rather than an entire burn.

Reference J350W thrust curve reproduced from ThrustCurve
Reference J350W thrust curve reproduced from ThrustCurve · PDF p. 19 ↗

How to interpret the comparison

Reference thrust helped establish the inlet pressure and also supplied the peak value used for the final comparison. Agreement with that peak is useful as a consistency check, but it is not a fully independent validation of the model.

Read the original explanation · PDF p. 11 ↗

05 / Numerical development

A stable solution required more than a solver switch.

The team first tried a pressure-based solver, then moved to a density-based solver for the highly compressible flow. Although the latter improved the flow representation, convergence and computational cost remained difficult.

The final setup returned to a pressure-based coupled solver with realizable k–epsilon turbulence modeling, the energy equation enabled, and second-order upwind discretization. Spalart–Allmaras and the Reynolds Stress Model were also tested; the report describes tradeoffs in shock resolution, speed, and stability.

The final numerical configuration

  • Solver: pressure-based, coupled scheme.
  • Turbulence: realizable k–epsilon.
  • Discretization: second-order upwind for the transported variables.
  • High-order term relaxation: 0.1.
  • Controls: 0.5 for pressure, momentum, and density; 0.85 for turbulent kinetic energy and dissipation; 0.65 for energy.
Final solver residual histories
Final solver residual histories · PDF p. 14 ↗

The final report describes improved residual behavior and resolved shock diamonds. The history above records that behavior directly; the report does not provide a numerical residual acceptance threshold or a separate mass-balance check.

Read the original explanation · PDF p. 12 ↗

06 / Flow & performance

From a supersonic plume to a thrust estimate.

The final Mach contour shows acceleration through the converging-diverging nozzle and repeating shock structures in the external plume. Pressure decreases as the flow expands.

Mach contour showing supersonic expansion and shock diamonds
Mach contour showing supersonic expansion and shock diamonds · PDF p. 15 ↗
Pressure contour of the nozzle and plume
Pressure contour of the nozzle and plume · PDF p. 16 ↗

Reported nozzle-exit quantities

Values used in the report’s thrust calculation
QuantityReported value
Pressure212 kPa
Velocity1,770 m/s
Density0.977 kg/m³
Exit area2.41 × 10⁻⁴ m²

F = [ρeVe² + (Pe − Pa)]Ae

Momentum flux plus the pressure contribution at the nozzle exit.

Reported CFD estimate

762.5 N

Calculated from the reported exit properties and nozzle area.

Reported reference peak

841.4 N

The estimate is approximately 9.4% below this reference value.

The exit profiles below show how velocity and pressure vary across the section. The calculation above uses averaged quantities, so it is an approximation to an integrated momentum-and-pressure thrust evaluation.

Final velocity profile at the nozzle exit
Final velocity profile at the nozzle exit · PDF p. 21 ↗
Final pressure profile at the nozzle exit
Final pressure profile at the nozzle exit · PDF p. 22 ↗

These are simulation results and a reference-data comparison. This project did not document a new static-fire test of the motor.

Read the original explanation · PDF p. 14 ↗

07 / Lessons & next steps

A useful model also makes its assumptions visible.

The study demonstrated a practical workflow for building and improving a compressible-flow model. Its result depends on several deliberate simplifications:

  • Steady state: the simulation does not follow pressure and thrust throughout the burn.
  • Fixed inlet conditions: combustion and propellant regression are represented through boundary inputs.
  • Air as the working fluid: the fluid properties do not exactly match the motor’s combustion products.
  • Axisymmetry: asymmetric and three-dimensional behavior is excluded.
  • Reference-based pressure: the peak-thrust comparison is linked to an inlet estimate informed by thrust data.

Where the model could go next

The report proposes transient analysis, combustion modeling, more representative exhaust-gas properties, and three-dimensional geometry. Further verification could also include consistent convergence criteria, mass balance, and a grid study repeated with the final solver configuration.

The engineering lesson

Geometry, mesh, boundary conditions, and solver settings form one modeling system. Better results came from investigating their interaction and comparing both numerical behavior and physical flow features.

Read the original explanation · PDF p. 16 ↗

08 / Full documentation

The complete report and extracted images.

The original 22-page PDF contains the geometry development, grid study, chamber-pressure estimates, solver configuration, results, references, and appendix plots.

All 21 embedded images are included below, including individual panels from multi-part figures. Select an image to open it at full size. Page links use PDF page numbers, which are one higher than the report’s printed numbering after the cover.

Related engineering

From modeled flow to flight hardware.

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