Start Learning CFD Simulation by ANSYS Fluent

Start Learning CFD Simulation by ANSYS Fluent

44
13h 34m 56s
  1. Section 1

    Engineering Fields

  2. Section 2

    Flow Models

  3. Section 3

    Fluent Modules

  4. Section 4

    Other Software

MR CFD
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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%
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About This Lesson

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.