This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Optimization of IP Duct Vane Articulation for Improved Cabin Airflow Directivity
ISSN: 0148-7191, e-ISSN: 2688-3627
Published October 11, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Event: International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility
The air velocity achieved at driver and passenger aim point is one of the key parameters to evaluate the automotive air-conditioning system performance. The design of duct, vent and vanes has a major contribution in the cabin air flow directivity. However, visual appearance of vent and vane receives higher priority in design because of market demand than their performance. More iterations are carried out to finalize the HVAC duct assembly until the target velocity is achieved. The objective of this study is to develop an automated process for vane articulation study along with predicting the optimized velocity at driver and passengers. The automated simulation of vane articulation study is carried out using STAR-CCM+ and SHERPA optimization algorithm which is available in HEEDS tool. The minimum and maximum vane angle are defined as parameters and face level velocity is defined as response. Depending on the optimization technique and number of iterations defined in HEEDS, the vane angle will get updated and the design iterations proceeds automatically till the number of iterations are met. The obtained results are compared with test data and correlated well. This process will be useful to finalize the duct assembly design during the concept phase of new programs. This process extensively assists in plummeting the manual effort of design and the simulation runs are automated resulting in overall diminution of timing required for vane articulation studies.
CitationBaskar, S., Raju, K., Gopinathan, N., and Udaya Kumar, P., "Optimization of IP Duct Vane Articulation for Improved Cabin Airflow Directivity," SAE Technical Paper 2019-28-0132, 2019, https://doi.org/10.4271/2019-28-0132.
Data Sets - Support Documents
|Unnamed Dataset 1|
- Ozeki , Y. , Yang , J.-H. , Nagano , H. , Kato , S. et al. Ventilation Characteristics of Modeled Compact Car Part 1 Airflow Velocity Measurement with PIV SAE Technical Paper 2008-01-0732 2008 10.4271/2008-01-0732
- Liu , W. , Mazumdar , S. , Zhang , Z. , Stephane , B. et al. State of the Art Methods for Studying Air Distributions in Commercial Airliner Cabins Building and Environment 47 5 12 2012 10.1016/j.buildenv.2011.07.005
- Lizal , F. , Pech , O. , Jedelsky , J. , Tuhovcak , J. , and Jicha , M. The Automotive Ventilation Test Case: Investigation of the Velocity Field Downstream of Benchmark Vent Using Smoke Visualization and Hot-Wire Anemometry Proc IMechE Part D: J Automobile Engineering 1 15 2018 10.1177/0954407018776137
- Adhikari , V.P. , Nassar , A. , and Nagpurwala , Q.H. Numerical Studies on the Effect of Cooling Vent Setting and Solar Radiation on Air Flow and Temperature Distribution in a Passenger Car SAE Technical Paper 2009-28-0048 2009 10.4271/2009-28-0048
- Pawar , S. , Gade , U. , Dixit , A. , Tadigadapa , S. et al. Evaluation of Cabin Comfort in Air Conditioned Buses Using CFD SAE Technical Paper 2014-01-0699 2014 10.4271/2014-01-0699
- Currie , J. and Maue , J. Numerical Study of the Influence of Air Vent Area and Air Mass Flux on the Thermal Comfort of Car Occupants SAE Technical Paper 2000-01-0980 2000 10.4271/2000-01-0980
- Limaye , V.M. , Deshpande , M.D. , Sivapragasam , M. , and Kumar , V. Design of Dynamic Airvents and Airflow Analysis in a Passenger Car Cabin SASTECH 11 1 41 48 2012
- Om , P.S. , Raut , R. , Mrinmoy , B. , and Singh , R. Effect of Dynamic Vents on the Thermal Comfort of a Passenger Car Journal of Mechanical Engineering 61 561 570 2015 10.5545/sv.jme.2015.2469
- Sen , S. and Selokar , M. Numerical Simulation and Validation of Cabin Aiming and Cool-Down of a Passenger Car SAE Int. J. Passeng. Cars - Mech. Syst. 9 1 2016 10.4271/2016-01-0251
- Vasanth , B. , Bright , J. , Reddy , P. , S. et al. Optimization of HVAC Panel Aiming Studies Using Parametric Modeling and Automated Simulation SAE Technical Paper 2014-01-0684 10.4271/2014-01-0684