Research Article
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Year 2018, Volume 2, Issue 2, 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, Volume 2, Issue 2, 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.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Mehdi YILDIZ This is me (Primary Author)
Tofaş Türk Otomobil Fabrikası A.Ş.
0000-0002-7407-5350
Türkiye

Publication Date December 29, 2018
Published in Issue Year 2018, Volume 2, Issue 2

Cite

Bibtex @research article { jise466962, journal = {Journal of Innovative Science and Engineering}, issn = {}, eissn = {2602-4217}, address = {ursa Technical University, Mimar Sinan Campus, Mimar Sinan Mah. Mimar Sinan Blv. Eflak Cad. No:177 16310 Yıldırım, Bursa / Turkey}, publisher = {Bursa Technical University}, year = {2018}, volume = {2}, pages = {97 - 114}, doi = {10.38088/jise.466962}, title = {Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach}, key = {cite}, author = {Yıldız, Mehdi} }
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 . DOI: 10.38088/jise.466962
MLA Yıldız, M. "Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach" . Journal of Innovative Science and Engineering 2 (2018 ): 97-114 <http://jise.btu.edu.tr/en/pub/issue/41605/466962>
Chicago Yıldız, M. "Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach". Journal of Innovative Science and Engineering 2 (2018 ): 97-114
RIS TY - JOUR T1 - Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach AU - Mehdi Yıldız Y1 - 2018 PY - 2018 N1 - doi: 10.38088/jise.466962 DO - 10.38088/jise.466962 T2 - Journal of Innovative Science and Engineering JF - Journal JO - JOR SP - 97 EP - 114 VL - 2 IS - 2 SN - -2602-4217 M3 - doi: 10.38088/jise.466962 UR - https://doi.org/10.38088/jise.466962 Y2 - 2018 ER -
EndNote %0 Journal of Innovative Science and Engineering Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach %A Mehdi Yıldız %T Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach %D 2018 %J Journal of Innovative Science and Engineering %P -2602-4217 %V 2 %N 2 %R doi: 10.38088/jise.466962 %U 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
AMA Yıldız M. Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. JISE. 2018; 2(2): 97-114.
Vancouver Yıldız M. Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach. Journal of Innovative Science and Engineering. 2018; 2(2): 97-114.
IEEE M. Yıldız , "Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach", Journal of Innovative Science and Engineering, vol. 2, no. 2, pp. 97-114, Dec. 2018, doi:10.38088/jise.466962


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