Reduction of Steady-State CFD HVAC Simulations into a Fully Transient Lumped Parameter Network
Document Type
Article
Publication Date
5-10-2014
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
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).
Publication Title
SAE International Journal of Passenger Cars - Mechanical Systems
Recommended Citation
Smith, R.,
&
Lumsdaine, E.
(2014).
Reduction of Steady-State CFD HVAC Simulations into a Fully Transient Lumped Parameter Network.
SAE International Journal of Passenger Cars - Mechanical Systems,
7(1), 382-394.
http://doi.org/10.4271/2014-01-9121
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/2971