Prediction of Air Induced Noise Levels for Automotive HVAC Systems

<div class="section abstract"><div class="htmlview paragraph">With the advent of electric vehicles and advance trends in power train there is an increasing demand in improving the overall cabin comfort level. This is especially true when it comes to electric vehicles as the major source of sound other than the external flows would be from the HVAC systems for the vehicle. The noise source can be further divided on structural noise and flow induced noise; the paper would be focusing on prediction of flow induced noise levels. Flow induced noise by the HVAC’s would be critical since there are significant advancements in the cabin insulations/materials from externally generated noise sources.</div><div class="htmlview paragraph">Automotive HVAC system consist of complex flow paths, blower, flaps, ducts, and vents which are the main source of noise generation in HVAC systems. With packaging space beneath the IP been premium, changes proposed to improve the noise levels are expensive and are understood at later level/phase of product development cycle. This paper puts forward an approach to evaluate the air induced noise levels for HVAC systems/components which can be used in early phase of development cycle. Computational Aeroacoustics (CAA) is proposed to be used to predict the sound generation and propagation level for the given microphone positions. The noise source can be identified and improved in early phase of development cycle which if done in later phase would require an expensive change.</div><div class="htmlview paragraph">The process for prediction of noise has been validated and tested with good correlations between the two approaches.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-09-19
DOI
https://doi.org/10.4271/2024-28-0061
Citations
1
Primary Topic
Aerodynamics and Fluid Dynamics Research
Type
article
Field-Weighted Citation Impact
1.30
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article

Prediction of Air Induced Noise Levels for Automotive HVAC Systems

Prachi Narendra Raut, Rahul Yadav, Maneesh Arora, Ardhendu Chakraborty
1 citations
SAE technical papers on CD-ROM/SAE technical paper series
Aerodynamics and Fluid Dynamics Research
1.30
article

Prediction of Air Induced Noise Levels for Automotive HVAC Systems

Prachi Narendra Raut, Rahul Yadav, Maneesh Arora, Ardhendu Chakraborty
article en
1 citations

Abstract

<div class="section abstract"><div class="htmlview paragraph">With the advent of electric vehicles and advance trends in power train there is an increasing demand in improving the overall cabin comfort level. This is especially true when it comes to electric vehicles as the major source of sound other than the external flows would be from the HVAC systems for the vehicle. The noise source can be further divided on structural noise and flow induced noise; the paper would be focusing on prediction of flow induced noise levels. Flow induced noise by the HVAC’s would be critical since there are significant advancements in the cabin insulations/materials from externally generated noise sources.</div><div class="htmlview paragraph">Automotive HVAC system consist of complex flow paths, blower, flaps, ducts, and vents which are the main source of noise generation in HVAC systems. With packaging space beneath the IP been premium, changes proposed to improve the noise levels are expensive and are understood at later level/phase of product development cycle. This paper puts forward an approach to evaluate the air induced noise levels for HVAC systems/components which can be used in early phase of development cycle. Computational Aeroacoustics (CAA) is proposed to be used to predict the sound generation and propagation level for the given microphone positions. The noise source can be identified and improved in early phase of development cycle which if done in later phase would require an expensive change.</div><div class="htmlview paragraph">The process for prediction of noise has been validated and tested with good correlations between the two approaches.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Mahle (Austria) (AT)
Openalex Percentile: Top 13%
Aerodynamics and Fluid Dynamics Research
1.30
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Prediction of Air Induced Noise Levels for Automotive HVAC Systems — Prachi Narendra Raut, Rahul Yadav, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2024) | TGRS Research Map | TGRS