Simulation of noise in HVAC ducts Dr Karamjit Sandhu Climate - - PowerPoint PPT Presentation

simulation of noise in hvac ducts dr karamjit sandhu
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Simulation of noise in HVAC ducts Dr Karamjit Sandhu Climate - - PowerPoint PPT Presentation

Simulation of noise in HVAC ducts Dr Karamjit Sandhu Climate Control Systems Jaguar Land Rover STAR Global Conference 19-21 March 2012 STAR Global Conference 19-21 March 2012 Overview Introduction Experimental Work Modelling


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STAR Global Conference 19-21 March 2012 STAR Global Conference 19-21 March 2012

Simulation of noise in HVAC ducts

Dr Karamjit Sandhu Climate Control Systems Jaguar Land Rover

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Overview

  • Introduction
  • Experimental Work
  • Modelling
  • Results
  • Summary & Conclusions
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Introduction

  • Noise in the HVAC system is generally an issue which has to be tackled
  • Aim is to predict up front the noise experienced by the customer
  • CAE methods are required to solve the problem
  • HVAC noise is a complex problem
  • Problem is broken down into smaller parts:
  • HVAC Unit
  • IP Ducting
  • Vents/Registers
  • Interior Cabin
  • A first step is to predict the interior and noise propagation from a simple duct
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Introduction

  • Joint project with CD-adapco, London, UK
  • Current CFD software supplier of STAR-CCM+
  • CFD & aero-acoustics techniques simulated in one software
  • No data manipulation required between softwares
  • Aim of the work was to improve the CAE capability within Jaguar Land Rover
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Introduction

  • The project was developed as a two step process
  • Step 1: Determination of the inlet profile
  • Step 2: Aero-acoustic analysis of the duct
  • The results were validated against experimental measurements
  • A CAE methodology was developed and procedure created to predict interior

and noise propagation from a HVAC duct

Inlet profile Noise generated at duct surface Noise propagation from the duct outlet

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Experimental Work

  • Mean flow out of the duct was measured from the outlet of the straight

portion of the duct

  • Transient pressure measurements were taken inside the duct and at the far

field positions from the outlet

Measurements on duct surface Far field measurements

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Modelling

Domain for the LES Outlet Plenum Volume Source

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Modelling

  • 6 million cell mesh to capture the flow using an LES model
  • Computational time is 6 days on 64 CPU’s

Computational Mesh

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Modelling

  • A recycling mass boundary model is run to determine the inlet profile for the

full simulation

  • A Reynolds stress model is employed
  • Output from this model is used for input for the steady RANS solution
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Modelling

  • The recycling solution is run to provide the RANS/LES simulation with data
  • Parameters exported to the LES:
  • Flow direction
  • Mach Number
  • Pressure
  • Temperature
  • The RANS solution is run to provide a good initial guess and reduce

simulation time

  • LES solution was run for 0.5 seconds
  • 2.5x10-5 second time step is used
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Modelling

Overall CAE process using STAR-CCM+

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Results

  • The inlet profile to the main duct was modelled to establish the developed

velocity profile

  • The comparison with experiment show good general agreement

Comparison measured and predicted inlet velocity profile

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Results

Velocity Streamline Plot

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Results

Velocity Contour Plot of the Flow from the Duct Velocity Contour Plot through the Duct

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Results

Pressure Contour Plot of the Flow from the Duct Pressure Contour Plot through the Duct

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Results

Velocity fluctuations in the duct

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Results

SPL(dB) for the internal probes B1 B2 B3 B4

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Results

SPL(dB) for the internal probes F1 F3 F4 F5

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Results

SPL(dB) for the internal probes L1 L2 L3 L5

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Results

SPL(dB) for the internal probes R1 R3 R5 R8

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Results

  • The far field noise measurements were compared to the simulated data

FF1 FF2 FF3 FF4

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Results

  • Comparison of the measured and simulated noise spectra is very good
  • Good agreement of external measurements from 10Hz up to 5000Hz

FF6 FF7

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Summary & Conclusions

  • Summary
  • CAE method was developed to predict noise in HVAC ducts
  • Software STAR-CCM+ was employed for the CAE
  • The method was validated against experimental measurements
  • CAE procedure for the work was delivered
  • Method allows A-B comparisons to be made in the vehicle programmes
  • Allows early NVH issues to be highlighted so palliatives can be

implemented early

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Acknowledgements

I would like to thank Elisabeth Gren, CD-adapco, UK Mark Farrall, CD-adapco, UK Fred Mendonça, CD-adapco, UK for the work and support in developing this method for Jaguar Land Rover.

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Range Rover Evoque

Latest product designed using STAR-CCM+

Thank You For Listening The End