Electronic Cooling Solutions | Optimizing the cooling of a deep learning machine | Simcenter

Guy Wagner, director at Electronic Cooling Solutions Inc., details how Simcenter™ Flotherm XT™ has provided the capabilities needed to cool a deep learning machine using neural networks properly. The software allows ease of modeling, including all micro channels and passages within a module, helping each IC to run at the appropriate temperature. As a result, ECS are able to model products in detail with the exact CAD customers would like to see, and make use of features which exceed previous generations of CFD software.

#SimcenterElectronicsSemiconductor #ThermalEngineering #CFD

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Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls, utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables to follow a more predictive process for systems driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and test to help you predict performance across all critical attributes earlier and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design and deliver innovations faster and with greater confidence.