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Cooling Fan Selection in Power Car Application Using CFD and FEA Analysis
Technical Paper
2019-01-0900
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper describes the methodology used to select an application-based fan that has optimum operating characteristics in terms of cooling air flow rate, fan power, and noise. The selected fan is then evaluated for structural strength.
To evaluate different fans, complete rail coach under-hood simulations were carried out using steady-state 3D computational fluid dynamics (CFD) approach. These simulations considered an actual, highly non-uniform flow field. For each fan option, fan power, air flow rate, and surface acoustic power was evaluated. Pressure profiles on the fan blades were studied to assess the effect of non-uniform downstream air passage designs. Surface acoustic power was calculated using broadband noise source (BNS) model in ANSYS Fluent®. Surface pressure profiles over fan blades imported from 3D CFD were used in finite element analysis (FEA) in ANSYS. Analyses were carried out for blade linear and non-linear properties. Equivalent fully reversed (EFR) stress was calculated based on an internal code that uses Goodman theory.
It can be concluded from simulation study that the fluid structural coupled approach can be used to predict and optimize machine cooling system performance. This is useful for optimum fan selection in the design phase, thus reducing product design cycle-time and re-work cost. It also helps to increase product reliability, which is critical for rail application.
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Authors
Citation
Kumar, M., Khandagale, V., Kelkar, P., and Saha, R., "Cooling Fan Selection in Power Car Application Using CFD and FEA Analysis," SAE Technical Paper 2019-01-0900, 2019, https://doi.org/10.4271/2019-01-0900.Data Sets - Support Documents
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References
- Mohamud, O. and Johnson, P., “Broadband Noise Source Models as Aeroacoustic Tools in Designing Low NVH HVAC Ducts,” SAE Technical Paper 2006-01-1192, 2006, doi:10.4271/2006-01-1192.
- Udawant, K., Tandon, V., Raju, S., Chugh, K. et al., “Fan Noise Prediction Using CFD and its Validation,” SAE Technical Paper 2007-26-051, 2007, doi:10.4271/2007-26-051.
- Saha, R., Madurai Kumar, M., Hwang, L., Wang, X. et al., “Analysis and Design Validation of Medium Duty Truck Cooling System,” SAE Technical Paper 2016-01-8073, 2016, doi:10.42712016-01-8073.
- Saha, R., Singh, J., Koutsavdis, E., and Ghazialam, H., “Alternate Approach: Acoustics and Cooling Performance Management,” SAE Technical Paper 2018-01-0084, 2018, doi:10.42712018-01-0084.
- Zhou, J., Liu B., Wang, D., and Li, X., “Dynamic Characteristics Analysis of Blade of Fan Based on ANSYS,” in Power and Energy Engineering Conference, 2010, Scientific Research.
- ANSYS Version R18.2 User’s Guide.
- Liu, X., Paurobally, R., and Pan, J., "The Effect of Prestress on Vibration Behaviour of Structures in Impedance Method Damage Detection" Advanced Materials Research, 41-42, 401-406, doi:10.4028/www.scientific.net/AMR.41-42.401
- Mohan, R.S., Sarkar, A., and Sekhar, A.S., “Vibration Analysis of a Steam Turbine Blade,” in Inter-Noise 2014, Melbourne, Australia, 16-19 Nov..