scholarly journals Assessment of Radiated Fan Noise Prediction Capabilities using Static Engine Test Data

2011 ◽  
Author(s):  
Douglas Nark
Keyword(s):  
Test Data ◽  
Noise Prediction ◽  
Engine Test ◽  
Fan Noise

Application of acoustic analogy to automotive engine-cooling fan noise prediction

AIAA Journal ◽  
2000 ◽  
Vol 38 ◽  
pp. 1095-1098 ◽  
Author(s):  
Jeonghan Lee ◽  
Kyungseok Cho ◽  
Soogab Lee
Keyword(s):  
Noise Prediction ◽  
Acoustic Analogy ◽  
Fan Noise ◽  
Automotive Engine ◽  
Engine Cooling ◽  
Cooling Fan

Conjugate Heat Transfer Analysis for Gas Turbine Cooled Stator

2012 ◽  
Author(s):  
Kuo-San Ho ◽  
Christopher Urwiller ◽  
S. Murthy Konan ◽  
Jong S. Liu ◽  
Bruno Aguilar
Keyword(s):  
Heat Transfer ◽  
Gas Turbine ◽  
Test Data ◽  
Conjugate Heat Transfer ◽  
Fluid Dynamic ◽  
Thermal Analyses ◽  
Convection Heat Transfer ◽  
Heat Transfer Analysis ◽  
Engine Test ◽  
Adiabatic Wall

This paper explores the conjugate heat transfer (CHT) numerical simulation approach to calculate the metal temperature for the gas turbine cooled stator. ANSYS CFX12.1 code was selected to be the computational fluid dynamic (CFD) tool to perform the CHT simulation. The 2-equation RNG k-ε turbulence model with scalable modified wall function was employed. A full engine test with thermocouple measurement was performed and used to validate the CHT results. Metal temperatures calculated with the CHT model were compared to engine test data. The results demonstrated good agreement between test data and airfoil metal temperatures and cooling flow temperatures using the CHT model. However, the CHT calculations in the outer end wall had a discrepancy compared to the measured temperatures, which was due to the fact that the CHT model assumed an adiabatic wall as a boundary condition. This paper presents a process to calculate convection heat transfer coefficient (HTC) for cooling passages and airfoil surfaces using CHT results. This process is possible because local wall heat flux and fluid temperatures are known. This approach assists in calibrating an in-house conduction thermal model for steady state and transient thermal analyses.

Experimental Validation of Ducted Low-Speed Cooling Fan Noise Prediction Methods Including Broadband Scattering

2016 ◽  
Author(s):  
Julien Christophe ◽  
Korcan Kucukcoskun ◽  
Dominic Lallier-Daniels ◽  
Marlène Sanjosé ◽  
Stephane Moreau
Keyword(s):  
Experimental Validation ◽  
Prediction Methods ◽  
Noise Prediction ◽  
Fan Noise ◽  
Low Speed ◽  
Cooling Fan

Fan Noise Prediction using CFD and its Validation

2007 ◽  
Author(s):  
Kishor Udawant ◽  
Vikram Tandon ◽  
S. Raju ◽  
Krishan Chugh ◽  
Ashok Khondge
Keyword(s):  
Noise Prediction ◽  
Fan Noise

Engine Test Data Modelling by Evolutionary Radial Basis Function Networks

2003 ◽  
Vol 217 (6) ◽  
pp. 489-497 ◽  
Author(s):  
W Lin ◽  
M H Wu ◽  
S Duan
Keyword(s):  
Radial Basis Function ◽  
Test Data ◽  
Basis Function ◽  
Radial Basis Function Networks ◽  
Engine Test ◽  
Data Modelling ◽  
Test Bed ◽  
Real Coded Genetic Algorithm ◽  
Radial Basis ◽  
Modelling Task

The engine test bed is introduced briefly and the importance of modelling for the engine test is discussed. The application of combining radial basis function (RBF) networks and a real-coded genetic algorithm (RCGA) to create the model is described for the engine test. Finally, the experimental results are analysed and it is shown that the proposed approach combining RCGA and RBF models is well suited for the engine test data modelling task.

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