Become an Expert ANSYS Fluent User — Ep 08
NanoFluid Flow: Shell and Tube Heat Exchanger with Helical Fin
- Lesson
- 08
- Run Time
- 17m 11s
- Published
- Jun 12, 2026
- Category
- ANSYS Fluent
- Course Progress
- 0%
This project simulates heat transfer in a shell-and-tube heat exchanger enhanced by two techniques at once: helical fins in the shell and an Al₂O₃–water nanofluid as the working fluid. Shell-and-tube exchangers are among the most widely used heat-transfer devices in industry — one stream flows through the tubes, the other through the shell. Adding helical fins forces the shell-side fluid along a longer, swirling path, increasing its contact time with the tube surfaces, while the nanofluid raises the fluid's effective thermal conductivity. Together they target the same goal: a higher heat-transfer rate without enlarging the device.
The key modeling decision is how to represent the nanofluid. Two approaches exist: a full multiphase model (base fluid + dispersed nanoparticles), which is physically detailed but computationally expensive; or the single-phase property approach, where the nanofluid's density, specific heat, thermal conductivity, and viscosity are computed from established mixture correlations using the base-fluid and nanoparticle properties. This project uses the second method — accurate for thermal performance and far more efficient, which is the standard industrial choice for this type of study.
Setup: geometry is built in Design Modeler and meshed in ANSYS Meshing as an unstructured mesh, wrapping around the tube bundle and helical fin geometry. The Al₂O₃–water nanofluid properties are assigned from the mixture correlations.
What the results show: contours of temperature, velocity, and pressure through the exchanger. The temperature field maps the heat transfer along the shell side clearly, and the results confirm the design intent — both the nanofluid and the helical fins enhance heat transfer compared with a plain fluid and a finless shell, by raising conductivity and lengthening the shell-side flow path respectively.
You'll learn to: model a nanofluid efficiently via the single-phase property-correlation method, set up a finned shell-and-tube exchanger, and evaluate heat-transfer enhancement from temperature, velocity, and pressure fields.