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Conjugate heat transfer CFD analysis of LGA1700 CPU water block with jet impingement cooling and porous media fin array modeling

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LGA1700 Water Block CFD Simulation

Conjugate heat transfer CFD analysis of LGA1700 CPU water block with jet impingement cooling and porous media fin array modeling.

Geometry Source: EK-CPU Lignum on GrabCAD


Overview

CFD analysis demonstrating conjugate heat transfer modeling of a high-performance CPU liquid cooling block for LGA1700 socket. Features jet impingement cooling, porous media representation of microchannel fin arrays, and orthotropic thermal conductivity for directional heat transfer.

Key Capabilities Demonstrated:

  • Conjugate heat transfer (CHT) between solid copper and liquid coolant
  • Porous media modeling with directional thermal and flow resistance
  • Realistic thermal interface resistance (TIM contact modeling)
  • Energy balance validation and convergence monitoring

Geometry Development

Starting Point

The analysis began with a detailed CAD model of the EK-CPU Lignum water block from GrabCAD. The original geometry included full mechanical detail with mounting hardware, aesthetic features, and complex internal fin structures.

Original Geometry - View 1 Original imported geometry showing full mechanical assembly

Original Geometry - View 2 Internal fin array structure from CAD model

CFD Simplification

The geometry was simplified for CFD analysis while preserving critical thermal-hydraulic features:

Simplifications Made:

  • Removed mounting hardware and cosmetic features
  • Extracted fluid domain from internal channels
  • Simplified complex fin array geometry to porous media representation
  • Created uniform CPU block representing IHS (Integrated Heat Spreader)
  • Defined inlet/outlet boundaries for flow simulation

Retained Critical Features:

  • Jet impingement plate geometry
  • Overall flow path and channel dimensions
  • CPU contact surface area and geometry
  • Thermal mass distribution of copper cold plate

CFD-Ready Geometry Final CFD-ready geometry with fluid domain and simplified features

Key Dimensions

  • CPU Block (IHS representation): 45mm × 38mm × 4mm (LGA1700 standard)
  • Fin Spacing: 0.314 mm
  • Fin Thickness: 0.371 mm
  • Calculated Porosity: 0.458 (0.5 used for this simulation)

Geometry available: CFD_Geo_STP.stp

Mesh Overview

Mesh Overview - Cut Plane Overall mesh structure with cut plane showing internal regions (outer shell transparent)

Mesh

  • CPU (IHS): 54,368 cells
  • Cold Plate: 1,698,419 cells
  • Fluid Inlet: 1,003,017 cells
  • Porous Medium: 4,335,825 cells
  • Fluid Outlet: 642,756 cells
  • Total cell count: 7,734,385 cells

Region-Specific Meshing

CPU Block (IHS)

CPU Mesh Refined mesh on CPU block to capture thermal gradients

Details:

  • Uniform refinement throughout solid volume
  • Fine resolution at IHS/cold plate interface for CHT coupling

Cold Plate Base

Cold Plate Mesh Cold plate copper base mesh

Porous Medium (Fin Array)

Porous Medium Mesh Porous zone mesh representing microchannel fin array

Fluid Domain

Fluid Volume Mesh Complete fluid domain mesh showing inlet/outlet regions


Physics Setup

Solver Configuration

  • Solver Type: Segregated Flow/Energy
  • Analysis Type: Steady-state
  • Turbulence Model: K-Omega SST
  • Heat Transfer: Conjugate Heat Transfer (CHT) with solid-fluid coupling

Material Properties

Solid Regions

Cold Plate (Copper)

  • Density: 8,940 kg/m³
  • Specific Heat: 386 J/kg·K
  • Thermal Conductivity: 398 W/m·K

CPU Block (Silicon)

  • Density: 2,329 kg/m³
  • Specific Heat: 702 J/kg·K
  • Thermal Conductivity: 124 W/m·K

Fluid Region

Coolant (Liquid Water)

  • Temperature-dependent properties
  • Reference temperature: 26.85°C

Porous Media Configuration

The fin array is modeled as a porous medium with anisotropic properties to represent the directional nature of heat transfer and flow resistance through the microchannels.

Porous Medium Properties

Property XX Direction YY Direction ZZ Direction
Viscous Resistance (kg/m³·s) 100,000 100,000 1.0×10⁸
Inertial Resistance (kg/m⁴) 1.5 1.5 100
Thermal Conductivity (W/m·K) 217 217 1.0

Porosity: 0.5 (50% open volume for flow)

Directional Behavior:

  • XX, YY (Flow directions): Low resistance, high effective thermal conductivity (copper-dominated parallel conduction)
  • ZZ (Blocked by fins): High resistance, low thermal conductivity (water-limited serial conduction)

Derivation of Porous Parameters

Porosity Calculation:

ε = (fin spacing) / (fin spacing + fin thickness)
ε = 0.314 mm / (0.314 mm + 0.371 mm) = 0.458 → rounded to 0.5

Viscous Resistance (Flow Directions): Based on Darcy flow through parallel plate channels:

1/α ≈ 12μ/h² 
where h = hydraulic diameter (fin spacing)

Thermal Conductivity (Orthotropic):

  • Flow directions (XX, YY): Volume-weighted arithmetic mean (parallel conduction through copper fins)
    • k_eff = ε·k_water + (1-ε)·k_copper ≈ 217 W/m·K
  • Cross-flow direction (ZZ): Harmonic mean (serial resistance through water gaps)
    • k_eff ≈ 1.0 W/m·K (water-limited)

Thermal Interface Resistance

CPU/Cold Plate Contact:

  • Interface resistance: 2.5×10⁻⁴ m²·K/W
  • Represents high-quality thermal paste (e.g., Arctic MX-4, Noctua NT-H1)
  • Applied at IHS/cold plate interface


Boundary Conditions

Inlet

  • Type: Mass flow inlet
  • Mass flow rate: 0.01 kg/s (10 g/s)
  • Temperature: 26.85°C (300 K)
  • Turbulence: 1% intensity, 1 mm length scale

Outlet

  • Type: Pressure outlet
  • Gauge pressure: 0 Pa (atmospheric reference)
  • Backflow temperature: 26.85°C

CPU Heat Source

  • Type: Volumetric heat generation
  • Power: 250 W
  • Distribution: Uniform across CPU block volume
  • Represents: Intel Core i9-12900K at max turbo (PL2)

Walls

  • External surfaces: Adiabatic (no heat loss to ambient)
  • Internal interfaces: Coupled (conjugate heat transfer)

Operating Conditions

  • Reference pressure: 101,325 Pa
  • Gravity: Disabled (forced convection dominated)


Results

Temperature Distribution

Overall Thermal Field

Temperature Contour - Full Range Temperature distribution through centerplane (26.8°C to 74.9°C)

Fluid Temperature Detail

Temperature Contour - Fluid Focus Temperature distribution capped at 40.1°C to highlight fluid heating

Fluid Thermal Behavior:

  • Coolant enters at 26.85°C
  • Progressive heating as flow moves radially outward from impingement zone
  • Hottest fluid regions at fin array exit (approaching outlet)

Flow Path and Heating

Streamlines Colored by Temperature Flow streamlines from inlet to outlet colored by temperature

Flow Characteristics:

  • Jet impingement creates radial flow pattern from center
  • Coolant temperature increases along flow path through porous fin array
  • Uniform flow distribution through microchannels
  • Exit temperature varies by flow path length

Quantitative Results

Parameter Value
CPU Peak Temperature 75.5°C
CPU Average Temperature ~73.2°C
Inlet Temperature 26.85°C
Outlet Temperature ~32.9°C
Temperature Rise (ΔT) ~6°C
Heat Input 250 W
Heat Removed ~249 W
Energy Balance 99.6%

Validation

Energy Balance

Heat Input:

  • CPU volumetric heat generation: 250 W

Heat Removed (from CFD):

Q = ṁ × Cp × (T_out - T_in)
Q = 0.01 kg/s × 4186 J/kg·K × (32.9 - 26.85)°C
Q = 0.01 × 4186 × 6.05
Q = 253.3 W

Energy closure: 253.3/250 = 101.3%

Note: Slight over-prediction (~1.3%) is within acceptable numerical accuracy for steady-state CFD.

Theoretical Comparison

Predicted outlet temperature (from first law of thermodynamics):

ΔT = Q / (ṁ × Cp) = 250 W / (0.01 kg/s × 4186 J/kg·K) = 5.97°C
T_out_theory = 26.85 + 5.97 = 32.82°C

CFD result: 32.9°C

Difference: 0.08°C (0.24%) Excellent agreement

Thermal Resistance Assessment

Case-to-coolant thermal resistance:

R_case-coolant = (T_CPU_avg - T_fluid_in) / Q
R = (73.2°C - 26.85°C) / 250W = 0.185 K/W

Peak thermal resistance:

R_peak = (75.5°C - 26.85°C) / 250W = 0.195 K/W

Typical high-performance CPU water blocks: 0.10-0.20 K/W (case to coolant)

Assessment: Simulated thermal resistance of 0.185-0.195 K/W falls within the expected range for a quality water block with thermal paste interface (2.5E-4 m²·K/W contact resistance). Results are consistent with real-world performance of premium liquid cooling solutions.

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Conjugate heat transfer CFD analysis of LGA1700 CPU water block with jet impingement cooling and porous media fin array modeling

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