CFD Heat Transfer Lab
Explore how flow and heat transfer shape cooling performance in a simplified heat exchanger.
CFD + AI · Engineering better outcomes
Resolve performance bottlenecks, evaluate design changes and anticipate scale-up challenges with CFD and AI—without building a simulation toolchain or becoming a modelling specialist.
What you gain
Focus experiments and design effort on the changes that matter.
Test the possibilities in a model.
Focus physical trials where they matter.
Identify the flow, heat and transport effects holding performance back. Compare design and operating changes before committing materials, equipment time and experimental effort.
01 —Find the bottlenecks that hold performance back.
02 —Compare designs against performance and energy targets.
03 —Prioritise physical trials with evidence and clear assumptions.
From design improvement to process scale-up
Improve cooling, preserve process performance at scale, or assess equipment loads. ResEt AI selects the physics and AI each problem needs, with geometry, meshing and solver setup handled behind the scenes.
Compare layout and flow choices against thermal constraints.
Behind the answer
ResEt AI models flow and heat transfer, adding structural analysis when fluid or thermal loads affect the equipment.
In practice · Fermentation scale-up
Why does a process that works in the lab lose performance in a larger vessel?
01 / Kinetics
Growth, substrate use and oxygen demand.
Demand informs the flow model.
Local conditions feed back into growth.
02 / CFD
Mixing, oxygen transport and local temperature.
Reveal the gradients a vessel-average measurement can miss.
ResEt AI starts with balances and kinetics, adds CFD when local conditions matter, and checks the models against process measurements.
Explore / Interactive engineering
Explore how flow and heat transfer shape cooling performance in a simplified heat exchanger.
Explore the oxygen and cooling constraints that can limit fermentation performance at scale.
Explore how airflow and pressure requirements translate into fan power and energy demand.
Insights / From the company
Perspectives from the ResEt AI team on physics-informed models, useful data and better decisions.
Read our insights →