MATLAB and Simulink provide tools to support thermofluidics education and research, including interactive teaching environments, symbolic and numerical methods for physical modeling and analysis, and more. Educators can use these products to combine theoretical knowledge with computational models and experimental workflows.
With MATLAB and Simulink, academics can:
- Enhance education of fundamental topics in thermofluidics (thermodynamics, fluid mechanics, and heat transfer) with interactive live scripts and apps
- Extend the reach of analytical and experimental methods by using symbolic and computational tools
- Use physical network modeling to prototype and model thermofluidic systems quickly and run system-level models.
- Expand from fundamental physical phenomena to applied real-world applications such as heat exchanger designs for thermal management systems
- Create digital versions of experiments to analyze and increase insight into the systems and processes

Industry Examples
Thermodynamics, Fluid Mechanics, and Heat Transfer
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Academic Examples
Self-Paced Online Courses
MATLAB and Simulink for Heat and Fluid Applications
Industry Applications
- Optimising the Energy Efficiency of Electric Vehicles with Simulink and Simscape (24:39)
- Simulation of a Multiphase Flow Sampling System (22:39)
- Employing Machine Learning to Correlate Fluid Properties (21:22)
- Using Deep Learning and Kalman Filters for Temperature Soft Sensing (19:29)
- Fuel Cell Systems: A Challenge of Multiphysical Simulations (20:05)
- Design Motor Cooling Systems with Motor-CAD and Simscape (36:27)
MathWorks Presentations
- Optimizing a Battery Electric Vehicle Thermal Management System (20:06)
- Rapid System-Level Analysis and Control Design for EV Thermal Management Systems (16:53)
- Motor Cooling System: Simscape Essentials for Automotive Student Teams (9:40)
- Develop Data Center Cooling Systems with MATLAB and Simscape (36:08)
- Modeling a Hydrogen Fueling Station (9:00)
- Predictive Maintenance of a Heat Exchanger (14:06)
- Electrothermal Modeling and Analysis of Battery Packs (19:50)