FREE DEMO

Heat Sink Design in 5 Minutes

Every watt of power dissipated becomes heat. Every degree above rated temperature reduces component lifetime. Every thermal design decision impacts product reliability. See why thermal engineering matters.

13
Interactive Modules
10+
Calculators
50+
Engineering Plots
2
Capstone Projects

Why Thermal Management Matters

55% of all electronic failures are thermally induced. For every 10°C increase in junction temperature, component lifetime halves (Arrhenius relationship). A properly designed heatsink is the difference between a reliable product and a field failure.

The Problem

A 25W FPGA in still air reaches 150°C junction temperature within seconds. Maximum rated TJ is 100°C. Without thermal management, the device fails immediately.

The Solution

A properly sized heatsink reduces thermal resistance from junction to ambient, maintaining safe operating temperatures with documented margins under worst-case conditions.

The Outcome

Junction temperature stays within specification. Product achieves rated lifetime. Thermal margin documented for manufacturing variation. No field returns.

The Thermal Resistance Network

Heat flows from the silicon junction through a chain of thermal resistances to reach ambient air. Each interface adds resistance. Understanding this chain is the foundation of every thermal design.

Key Equation: TJ = TA + P × (RθJC + RθCS + RθSA). This single equation drives every heatsink design decision.
RθJC — Junction-to-Case resistance. Fixed by the IC package. Typically 0.5–5 °C/W for power devices.
RθCS — Case-to-Sink resistance. Controlled by TIM selection. Range: 0.05–1.0 °C/W depending on material.
RθSA — Sink-to-Ambient resistance. The heatsink's job. This is what you design.
Interactive Demo
Thermal Resistance Chain — Adjust Power Dissipation

Heat Spreading & Fin Efficiency

A concentrated heat source must spread through the heatsink base before reaching the fins. The base thickness and material conductivity determine how effectively heat distributes. Fins far from the source contribute less — this is fin efficiency.

Interactive Demo
Heat Spreading Visualization — Temperature Distribution
Spread Ratio: --
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Design Rule: Base thickness should be at least 1/4 of the heat source width for adequate spreading. Copper bases are used when heat flux exceeds 10 W/cm² and aluminum spreading is insufficient.

Natural vs. Forced Convection

Natural convection relies on buoyancy-driven airflow (h = 5–25 W/m²K). Forced convection uses fans to dramatically increase the heat transfer coefficient (h = 25–250 W/m²K). The choice defines your heatsink size by an order of magnitude.

Interactive Demo
Convection Comparison — Airflow Particles
h = -- W/m²K RθSA = -- °C/W

What the Full Training Covers

Heat Transfer Fundamentals

Conduction, convection, radiation with interactive simulations and engineering plots

Thermal Resistance

Junction-to-ambient chain, interactive calculators, series/parallel networks

Heatsink Geometry

Fin types, plate-fin, pin-fin, folded-fin, vapor chambers, selection guides

Natural Convection

Fin spacing optimization, chimney effect, orientation effects, Nusselt correlations

Forced Convection

Fan curves, system impedance, pressure drop, bypass effects, ducting

Material Selection

Aluminum, copper, graphite, vapor chambers with cost-performance trade-offs

Thermal Interface Materials

Paste, pad, phase-change, gap filler selection and application

Design Wizard

Complete guided workflow from requirements to final heatsink recommendation

FPGA Capstone

Full industry-style thermal design — from datasheet extraction through validation

Power Supply Capstone

500W DC-DC converter thermal design with MOSFET loss analysis

Ready to Master Heat Sink Design?

13 interactive modules. Real engineering calculators. Hands-on capstone projects. No prerequisites — just curiosity and a browser.

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Free access to all modules, calculators, and capstone projects.