Thermal Management System Simulation : Hands-on Worshop
24 June 2019
In today’s market Thermal Management systems are increasing in complexity while becoming more ‘intelligent’
thanks to elaborate control algorithms. Product development teams are also having to deal with increased pressure to shorten product development timelines. That’s where the implementation of model-based systems engineering has become a critical part and helping to analyze possible architectures and scenarios, early in the design cycle, and to get the first ideas even before any CAD data are available
Model-based systems engineering (MBSE) approach based on Simcenter™ AMESim™ software helps you and out the right answers for the development of complex thermal-Fluid systems: Maximize thermal performance such as comfort in cars, planes or rooms and keeping the temperature of components within the optimal operating range by evacuating excess heat or reusing it while optimizing energy efficiency. To help you address thermal
integration issues, Simcenter Amesim offers you a comprehensive set of solutions that cover the whole design cycle from pre-design stage to final validation.
In addition, the Simcenter™ 3D, Star-CCM+™ and Physical Testing technologies can further address detailed 3D CAE analysis and validation testing, accelerating and improving the complete product development cycle.
• The workshop will be set up with computers and access to Simcenter AMESim
• The instructor will guide participants step-by-step through the application examples
Highlights
In this hands-on workshop, you will learn how to use Simcenter AMESim to:
• Understand the fundamentals of Model-based Systems Engineering
• Model any type of thermal management systems by simulating heat transfer as well as phase change phenomena
• Design, size and validate HVAC components, subsystems and system while keeping time and costs under control
• Assess performance and power consumption of refrigerant loop system under transient conditions
• Optimize range and cabin comfort while keeping temperature of critical subsystems (Battery or E-Motor) under control
• Virtually evaluate various control strategies
• Predict and improve NVH and flow/thermal performance
