Challenge

Week 6 - CHT Analysis on a Graphics card

Aim: To perform a steady state conjugate heat transfer analysis on a model of Graphics Card.

Introduction:

The term conjugate heat transfer (CHT) describes the process which involves variation of temperature within solids and fluids, due to thermal interaction between the solids and fluids, the exchange of thermal energy between the two physical bodies is called study of heat transfer, the rate of transferred heat is directly proportional to the temperature difference between the bodies.

Conjugate heat transfer corresponds with the combination of heat transfer in solid and heat transfer in fluids, in solids, conduction often dominates whereas in fluids, convection usually dominates. efficiently combining heat transfer in fluids and solids is key to designing effective coolers, heaters or heat exchanger. forced convection is the most common way to achieve high heat transfer rate. in some applications the performances are further improved by combining convection with phase change.

Heat transfer in solids and heat transfer in fluids are combined in the majority of applications. this is because fluids flow around solids or between solid walls and because solids are usually immersed in a fluid.

Graphic card

A graphics card (also called a video card, display card, graphics adapter, VGA card/VGA, video adapter, display adapter, or mistakenly GPU) is an expansion card which generates a feed of output images to a display device, such as a computer monitor. Graphics cards are sometimes called discrete or dedicated graphics cards to emphasize their distinction to integrated graphics. A graphics processing unit that performs the necessary computations is the main component of a graphics card, but the acronym "GPU" is sometimes also used to refer to the graphics card as a whole.Usually, a graphics card comes in the form of a printed circuit board (expansion board) which are to be inserted into an expansion slot.[5] Others may have dedicated enclosures, and they are connected to the computer via a docking station or a cable. These are known as external GPUs (eGPUs). Graphics cards are often preferred over integrated graphics for increased performance.

Materials:

In this study conjugate heat transfer analysis is performed, so different materials are assigned to solid and fluid domain, which are given below in table.

Components

Materials

Density

Specific heat

Thermal conductivity

Base / Board

silicon

55

1210

0.027

Heat sink/fins

Aluminum

2719

871

202.4

Processor

Silicon

2330

703

153

Enclosure(heat transfer fluid)

Air

1.225

1006.43

0.0242

Geometry

create shared topology, to avoid overlapping of mesh pattern at different regions of domain.

name selection

  1. Fins

2. Processor

3. Board

Inlet, Outlet, Symmetry.

Mesh

Fluent setup -

general setup

  • solver type: pressure based
  • velocity formulation: absolute
  • time: steady state

Turbulence model: K-Omega SST

Materials

  • copy solid materials from fluent data base.

Heat generated rate =Q/Volume

Let us assume Q=1 watt

Volume of the processor = 64mm^3

Heat Generated rate = `15625000frac{W}{m^3}`

Enable source term for processor and set value 15625000`W/m^3`

Case-1

Boundaries

  • Inlet

Velocity=1 m/sec

Outlet = default

Create surface report definations for heat transfer cofficient , Temperature and Maximum temperature.

  • Initialize
    • hybrid initialization.
    • Run calculation.

RESULTS -

Residual plot

========================================================================

Case 2

Inlet velocity magnitude = 3m/s

=======================================================================

Case 3

Inlet velocity magnitude = 5m/s

===========================================================================

Conclusion -

Inlet velocity (m/s)

Heat Transfer Coefficient

Avg-Temperature of processor(k)

Maximum Temperature

1

4.8477781

332.80854

332.93234

3

6.9632248

316.16386

316.27884

5

8.8864447

311.87464

311.98297

  1. The thermal performance is seen to get improved increasing velocity of air and refining the mesh more.
  2. The maximum temperature of the processor is seen to decrease with the increase in velocity of air.
  3. The convergence criteria are satisfactorily achieved for baseline and refined mesh setup.
  4. The hot spot zones are clearly mentioned, which shows the area prone to thermal damage.
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