An Introduction to Electronics Cooling
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This document discusses the challenges in electronic design and the advantages of using cloud-based Computational Fluid Dynamics (CFD) for electronics cooling. It highlights misconceptions about electronics cooling, the benefits of simulation, and presents case studies optimizing design using cloud CFD. SimScale is introduced as a leading platform providing tools for engineering simulation that facilitate faster product development and improved thermal management.
![[1] https://www.altex.com/images/SolutionCenter/BurntBoard.jpg
[2] https://www.microwaves101.com/content/images/Mortuary/burn/burn.jpg
Challenges in Electronic Design](https://image.slidesharecdn.com/beginnersguidetocfdforelectronics-201222100047/85/An-Introduction-to-Electronics-Cooling-6-320.jpg)
![15m/s
20m/s
10m/s
Temperature [K]
Fan Sizing](https://image.slidesharecdn.com/beginnersguidetocfdforelectronics-201222100047/85/An-Introduction-to-Electronics-Cooling-32-320.jpg)
![15m/s 20m/s 10m/s
Temperature [K]
Fan Sizing](https://image.slidesharecdn.com/beginnersguidetocfdforelectronics-201222100047/85/An-Introduction-to-Electronics-Cooling-33-320.jpg)
![Temperature [K]
-5%
15m/s
20m/s
10m/s
Impact on system reliability
Result Summary](https://image.slidesharecdn.com/beginnersguidetocfdforelectronics-201222100047/85/An-Introduction-to-Electronics-Cooling-34-320.jpg)
![Velocity [m/s]
Design 1: Plate Fin Design 2: Pin Fin
Heat Sink Variation](https://image.slidesharecdn.com/beginnersguidetocfdforelectronics-201222100047/85/An-Introduction-to-Electronics-Cooling-36-320.jpg)
![Temperature [K]
Design 1: Plate Fin
Design 2: Pin Fin
-16%
Impact on system reliability
Result Summary](https://image.slidesharecdn.com/beginnersguidetocfdforelectronics-201222100047/85/An-Introduction-to-Electronics-Cooling-37-320.jpg)
An Introduction to Electronics Cooling
- 1. By Jousef Murad An Introduction to Electronics Cooling (EC)
- 2. Agenda ● Introduction ● Challenges in Electronic Design ● Simulation ● Basics of Electronics Cooling ● Three Big Misconceptions about EC ● CAD Best Practices ● Demo Case
- 3. About SimScale Who we are Founded in 2012 in Munich (Germany), and currently with an international team on two continents, SimScale is the world’s first production-ready SaaS application for engineering simulation.
- 4. We created the world’s first cloud-based engineering simulation platform. ● Fluid dynamics (CFD) ● Solid mechanics (FEA) ● Thermodynamics All accessible via a web browser. About SimScale What we do
- 5. Image Source: https://www.weforum.org/agenda/2017/06/internet-of-things-will-power-the-fourth-industrial-revolution Challenges in Electronic Design
- 7. Challenges in Electronic Design
- 8. ● Performance ● Sizing ● Cost ● Lifespan Challenges in Electronic Design
- 9. Thermal CFD analysis allows to ship better products faster. $ Thermal Design Traditionally Design Physical Prototype Physical Test Design Change Production Thermal Design with Simulation Design Simul- ation Production Design Change Simulation to Deliver Faster
- 10. Definition Realization ProductQuality&Costs Product Development Concept Implementation Phase Validation 100% Product Development Process Test Simulation Frontloading Why Do We Need Simulation?
- 11. Simulation Steps
- 12. Computational Fluid Dynamics (CFD) The Navier-Stokes Equations
- 13. Visualizing the model CAD modifications Simulation setup Checking progress/status Analyzing results Sharing results Run MULTIPLE simulations What Does Cloud CFD Actually Mean? Cloud CFD
- 14. They require design iterations to find the optimal design. Different parameters variations to test efficient cooling strategies Heat sink design Active cooling Optimize convective flow Decrease pressure drop Material choice Why is Cloud CFD Well Suited for EC Applications?
- 15. Physical Testing In-house Simulation Cloud Simulation Number of Design Iterations A few, often just the prototype 10+ Unlimited Turnaround Times Days/Weeks for each iteration Hours for each iteration Hours for all iterations Costs $100-1000 for each iteration Dependent on hard-/software costs $10-100 Why is Cloud CFD Well Suited for EC Applications? Cloud CFD
- 16. Safety Net ● Forum ● Live Support ● Knowledge Base ● Modeling Capabilities ● Customized Onboarding
- 17. Basics of Electronics Cooling
- 19. Change of Internal Energy Heat Added Work Done by the System → Energy cannot be created or destroyed! First Law of Thermodynamics
- 21. Three Big Misconceptions about EC
- 22. 1. Fans & Heatsinks Solve Everything 2. Tools Show No Difference 3. Simulation Is Only for Experts 4. Simulation Tools are Expensive Misconceptions
- 24. 1. Simplify & Merge 2. Defeature Unnecessary Details 3. Remove Small Bodies 4. Inlet & Outlet Extension CAD Cleanup
- 26. Demo Case
- 27. 10W 2W Small Chips Small Capacitors 5W Medium Capacitors 6W Transformer 8W Board Chips 3W Board Components 10W Other Components 30W CPU High-Power Density Electronics Design
- 28. Fan Inlet: 20°C Open Outlet High-Power Density Electronics Design Cooling Strategy: ● Forced Convection ● Natural Convection ● Fluid Phase Change ● Liquid Cooled High-Power Density Electronics Design
- 29. Fan Inlet: 20°C Fan Inlet: 20°C Open Outlet Design Parameters: ● Heat Sink selection ● Fan Selection ● Fan Placement ● Component Placement Design Constraints: ● ~92W Total Power ● ~1,200cm³ Cabinet Volume ● ~3,700 W/m² Power Density ● Max Component Temperature High-Power Density Electronics DesignHigh-Power Density Electronics Design
- 30. Design Study 1 How to optimize a design with cloud-based CFD
- 31. Baseline: 15m/s Fan 2: 10m/s Fan 3: 20m/s Fan Sizing
- 33. 15m/s 20m/s 10m/s Temperature [K] Fan Sizing
- 34. Temperature [K] -5% 15m/s 20m/s 10m/s Impact on system reliability Result Summary
- 35. Design Study 2 How to optimize a design with cloud-based CFD
- 36. Velocity [m/s] Design 1: Plate Fin Design 2: Pin Fin Heat Sink Variation
- 37. Temperature [K] Design 1: Plate Fin Design 2: Pin Fin -16% Impact on system reliability Result Summary