High-Fidelity CFD
Physics-led simulation across the full spectrum—from incompressible internal flows to complex compressible, thermal and reacting flow problems.
From incompressible internal flows to complex thermal, multiphase and reacting-flow systems—we build the fidelity, software and compute architecture your engineering challenge demands.
We combine scientific depth with practical implementation—helping engineering teams understand performance, reduce uncertainty and improve products before committing to hardware.
Physics-led simulation across the full spectrum—from incompressible internal flows to complex compressible, thermal and reacting flow problems.
Your applications. Your workflows. Your OpenFOAM training. Courses are built around company-specific geometries, boundary conditions and development goals.
Scale CFD without scaling complexity. We reduce turnaround time and manual overhead through cluster integration, parallel execution and reproducible environments.
System architecture and workflow design for efficient simulation processes—from geometry and meshing to orchestration, monitoring and post-processing.
Selected work across turbulence, thermal systems, multiphysics and industrial flow applications—presented in one consistent visual system.








Internal and external flows across a broad range of operating conditions.
Fidelity matched to dominant flow structures, accuracy requirements and compute budget.
Coupled fluid–solid temperature fields, thermal loads and conjugate heat transfer.
Interacting physical effects for flows that cannot be represented by a single-domain model.
Finite-rate chemistry and non-equilibrium models for demanding flow applications.
Parallel workflows built for robust execution from workstation to HPC cluster.
Support can start with a single model, strengthen an existing CFD group or establish a complete internal simulation capability.
Reliable simulation evidence for product and design decisions.
Advanced numerical methods for questions beyond standard workflows.
Specialist support for modelling, automation and solver development.
Architecture, training and infrastructure for building CFD in-house.
No black-box simulations. Every project is structured around the decision you need to make and the evidence required to make it confidently.
Frame the engineering question, success criteria and necessary fidelity.
Create a robust numerical setup and verify the relevant physics.
Translate flow-field data into mechanisms and actionable insight.
Evaluate design changes and deliver a reproducible workflow.

Gabriel Axtmann combines research in numerical fluid mechanics with practical expertise in OpenFOAM, fluid–structure interaction, scientific Python and CFD-related HPC. Based in Stuttgart, hexatransition GmbH treats simulation, software and compute infrastructure as one engineering system—so results remain understandable, scalable and reproducible.
A short description is enough to start. We will clarify the physics, required fidelity and the most efficient path forward.