Research Article
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Year 2018, , 97 - 114, 29.12.2018
https://doi.org/10.38088/jise.466962

Abstract

References

  • [1] Bennouna, S., Matharan, T., and Cheriaux, O., “Automotive HVAC Noise Reduction,” SAE Technical Paper 2018-01-1519, 2018, doi:10.4271/2018-01-1519.
  • [2] Sameh M. Metwally, Mohamed I. Khalil, Shawki A. Abouel-seoud “Noise evaluation of automotive A/C compressor” International Journal of Energy and Environment, Volume 2, Issue 3, 2011 pp.505-514
  • [3] Marcello A. M. Utiyama “Regression Model application in Six Sigma Projects” SAE Technical Paper 2008-36-0109.
  • [4] Alexander I. Pirie “Linear Regression Analysis (Two Variables)” SAE Technical Paper 196- 01-01, 630496, 1963.
  • [5] Matthew Hu, Bruce Barth and Ron Sears “Six Sigma Disciplines in Automotive Applications” 2004-01-0684.

Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach

Year 2018, , 97 - 114, 29.12.2018
https://doi.org/10.38088/jise.466962

Abstract

Recent developments on the vehicle engine noise show that tonal sounds such
as a compressor noise is audible if its sound is 7-9dB higher than level of
masking noise. Therefore, the acoustic performance of air-condition (A/C)
compressors becomes more important for passenger comfort during engine idling
and run up. The air conditioning system compressor noise is transmitted to
interior cabin in both air-borne paths and structure-borne paths of the
compressor pipes. The compressor is driven by the engine and it has also a high
interaction with the other components of the system such as Expansion Valve
(TXV), Electric cooling fan, Condenser and Evaporator. Therefore, to make a
proper NVH design of the air conditioning system in terms of customer
satisfaction, it is necessary to consider all these interactions when
determining the type of compressor. 
In this study, the noise problem induced by the A/C system compressor was
investigated by Six Sigma approach to determine solution alternatives. The air
conditioning system was examined in detail as a cooling process in order to
determine individual factors of each system components affecting the compressor
noise issue.
   The most important factors
are defined by Cause and Effect matrix to simplify the working model. The
effect of each factor/input on internal noise level was measured with the
microphones and accelerometers based on the pressure increase in the A/C
system. A correlation analysis is performed between these factors/inputs and
interior noise level to define high correlated factors of each system
component. Besides, a regression analysis is performed to identify the
compressor noise generation model (equation describing the noise model) based
on these highly correlated factors. A series of experiments is designed (DOE)
on these regression model to find out the optimum solution to improve
compressor noise problem perceived in the vehicle cabin.

References

  • [1] Bennouna, S., Matharan, T., and Cheriaux, O., “Automotive HVAC Noise Reduction,” SAE Technical Paper 2018-01-1519, 2018, doi:10.4271/2018-01-1519.
  • [2] Sameh M. Metwally, Mohamed I. Khalil, Shawki A. Abouel-seoud “Noise evaluation of automotive A/C compressor” International Journal of Energy and Environment, Volume 2, Issue 3, 2011 pp.505-514
  • [3] Marcello A. M. Utiyama “Regression Model application in Six Sigma Projects” SAE Technical Paper 2008-36-0109.
  • [4] Alexander I. Pirie “Linear Regression Analysis (Two Variables)” SAE Technical Paper 196- 01-01, 630496, 1963.
  • [5] Matthew Hu, Bruce Barth and Ron Sears “Six Sigma Disciplines in Automotive Applications” 2004-01-0684.
There are 5 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Mehdi Yıldız 0000-0002-7407-5350

Publication Date December 29, 2018
Published in Issue Year 2018

Cite

APA Yıldız, M. (2018). Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. Journal of Innovative Science and Engineering, 2(2), 97-114. https://doi.org/10.38088/jise.466962
AMA Yıldız M. Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. JISE. December 2018;2(2):97-114. doi:10.38088/jise.466962
Chicago Yıldız, Mehdi. “Investigation and Improvement of Vehicle A/C System Compressor Noise by 6sigma Approach”. Journal of Innovative Science and Engineering 2, no. 2 (December 2018): 97-114. https://doi.org/10.38088/jise.466962.
EndNote Yıldız M (December 1, 2018) Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. Journal of Innovative Science and Engineering 2 2 97–114.
IEEE M. Yıldız, “Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach”, JISE, vol. 2, no. 2, pp. 97–114, 2018, doi: 10.38088/jise.466962.
ISNAD Yıldız, Mehdi. “Investigation and Improvement of Vehicle A/C System Compressor Noise by 6sigma Approach”. Journal of Innovative Science and Engineering 2/2 (December 2018), 97-114. https://doi.org/10.38088/jise.466962.
JAMA Yıldız M. Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. JISE. 2018;2:97–114.
MLA Yıldız, Mehdi. “Investigation and Improvement of Vehicle A/C System Compressor Noise by 6sigma Approach”. Journal of Innovative Science and Engineering, vol. 2, no. 2, 2018, pp. 97-114, doi:10.38088/jise.466962.
Vancouver Yıldız M. Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. JISE. 2018;2(2):97-114.


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