Engineering Modelling & Simulation
Decision-ready modelling for thermo-fluid systems—supporting design, troubleshooting, optimisation, and scale-up. We focus on credible evidence and usable outputs, not just plots.
Core capability: thermo-fluid engineering with modelling workflows that can include CFD and advanced techniques when warranted. :contentReference[oaicite:1]{index=1}
What we help you achieve
De-risk design decisions
Predict performance, identify sensitivities, and define safe operating windows before committing to fabrication or procurement.
Troubleshoot performance issues
Find root causes of hotspots, maldistribution, pressure-drop penalties, vibration drivers, or unexpected degradation.
Support scale-up & optimisation
Translate lab results to pilot/operation using models that capture the dominant physics and quantify uncertainty.
Typical use cases
Thermo-fluid systems
- Heat exchangers, heating/cooling layouts, thermal management
- Flow distribution, mixing, pressure drop, separation
- Boundary-layer driven performance limits and hotspots
Phase-change & energy systems
- Phase-change materials for storage/transport
- Boiling / condensation / interface-driven behaviour (as required)
- Hydrogenation / metal-hydride storage: thermal management and cycle optimisation
Aligned with your Phase-Change Engineering and Hydrogenation themes. :contentReference[oaicite:2]{index=2}
Aerodynamics & turbomachinery
- External/internal aerodynamics for performance and noise
- Turbulence modelling choices that match decision needs
- Turbomachinery: performance prediction and loss drivers (as scoped)
Aerodynamics is explicitly part of your scope; turbomachinery can be expanded as you add content. :contentReference[oaicite:3]{index=3}
Measurement, monitoring & field tests
- Data acquisition strategy and instrument selection
- Calibration and post-processing workflows
- Advanced diagnostics (e.g., LIF, PIV) when appropriate
Based on your “Field Tests and Monitoring” section. :contentReference[oaicite:4]{index=4}
Methods we use (fit-for-purpose)
Core modelling
- CFD workflows for flow and heat transfer (Eulerian methods)
- Verification-minded setup: assumptions, boundary conditions, sensitivity checks
- Validation planning using available measurements and operational data
Advanced techniques (when warranted)
- Lattice Boltzmann Method (LBM) for specialised flow/transport contexts
- Discrete Element Method (DEM) for particulate/granular interactions
- Smooth Particle Hydrodynamics (SPH) for free-surface and complex interface behaviour
These are part of your stated capability set. :contentReference[oaicite:5]{index=5}
Key principle: we choose the minimum fidelity that answers the decision safely—then increase fidelity only if it changes the decision.
Deliverables you can use
Decision brief
What we found, what it means, and what to do next—written for stakeholders.
Technical pack
Assumptions, inputs, model setup, sensitivity checks, and a clear audit trail.
Handover & uplift
Runbook + optional training so your team can extend the work internally.
What we need from you (to start)
Minimum inputs
- The decision you’re trying to make (A vs B / target / pass-fail)
- Geometry / drawings (even rough), operating ranges, and constraints
- Any available data (flows, temperatures, pressures, duty, material properties)
- Deadline and definition of “success”
If available (helps a lot)
- Known failure modes / observed issues (photos, thermal images, logs)
- Previous calculations/simulations and what you did/didn’t trust
- Site limitations (measurement access, sensor limits, safety constraints)
Not sure whether modelling is worth it? Start with the checklist insight and send us your answers.