Start Learning CFD Simulation by ANSYS Fluent — Ep 05
Nano-Fluid: Heat Source Channel
- Lesson
- 05
- Run Time
- 15m 21s
- Published
- May 28, 2026
- Category
- UDF
- Course Progress
- 0%
What You'll Build
This lesson walks you through a CFD simulation of nanofluid cooling in a heated channel — a cutting-edge approach to thermal management in electronics, heat exchangers, and compact cooling systems. Nanofluids are engineered fluids in which nanoscale solid particles (here, aluminum oxide) are suspended in a base liquid (water) to dramatically improve thermal conductivity and heat transfer.
In this project, you'll model flow through a square channel packed with ten obstacle assemblies (diagonal barriers plus a central cylinder) sitting on a solid aluminum block heated by a constant flux of 170,000 W/m². You'll run the simulation in two stages — pure water, then nanofluid — and compare the cooling performance directly.
What You'll Learn
What nanofluids are and why they outperform conventional coolants
How to design a 3-D obstacle-filled channel mounted on a solid heated base in Design Modeler
How to generate a fine unstructured mesh (~2.16 million elements) for a geometrically complex flow path
How to define Al₂O₃ nanoparticle material properties — density, specific heat, thermal conductivity, viscosity, particle diameter, and molecular weight
How to set up the Mixture multiphase model — the correct choice when solid particles mix into a fluid without a sharp interface
How to model conjugate heat transfer between the solid aluminum block and the flowing fluid via a constant heat flux boundary
How to run a two-step comparison study: single-phase pure water vs. two-phase nanofluid at a 0.01 nanoparticle volume fraction
How to post-process mixture pressure, temperature, and phase velocity contours on X-Z and Y-Z planes
How to interpret results to quantify the heat transfer enhancement the nanoparticles provide
Why It Matters
Nanofluid cooling is at the frontier of electronics thermal management, solar collectors, and high-performance heat exchangers. The Mixture-model + conjugate-heat-transfer workflow you build here is directly applicable to any advanced cooling design.