Reduction of Steady-State CFD HVAC Simulations into a Fully Transient Lumped Parameter Network 2014-01-9121
Since transient vehicle HVAC computational fluids (CFD) simulations take too long to solve in a production environment, the goal of this project is to automatically create a lumped-parameter flow network from a steady-state CFD that solves nearly instantaneously. The data mining algorithm k-means is implemented to automatically discover flow features and form the network (a reduced order model). The lumped-parameter network is implemented in the commercial thermal solver MuSES to then run as a fully transient simulation. Using this network a “localized heat transfer coefficient” is shown to be an improvement over existing techniques. Also, it was found that the use of the clustering created a new flow visualization technique. Finally, fixing clusters near equipment newly demonstrates a capability to track localized temperatures near specific objects (such as equipment in vehicles).
Citation: Smith, R. and Lumsdaine, E., "Reduction of Steady-State CFD HVAC Simulations into a Fully Transient Lumped Parameter Network," SAE Int. J. Passeng. Cars - Mech. Syst. 7(1):382-394, 2014, https://doi.org/10.4271/2014-01-9121. Download Citation
Author(s):
Robert E Smith, Edward Lumsdaine
Affiliated:
US Army TARDEC, Michigan Technological University
Pages: 13
ISSN:
1946-3995
e-ISSN:
1946-4002
Also in:
SAE International Journal of Passenger Cars - Mechanical Systems-V123-6EJ, SAE International Journal of Passenger Cars - Mechanical Systems-V123-6, SAE International Journal of Passenger Cars - Mechanical Systems-V124-6
Related Topics:
Computational fluid dynamics
Heat transfer
Mathematical models
Simulation and modeling
Heating, ventilation, and air conditioning systems (HVAC)
Imaging and visualization
Tools and equipment
Production
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