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KSME International Journal

, Volume 14, Issue 9, pp 947–955 | Cite as

Noise reduction of muffler by optimal design

  • Jae-Eung Oh
  • Kyung-Joon Cha
Materials & Fracture · Solids & Structures · Dynamics & Control · Production & Design
  • 523 Downloads

Abstract

This paper proposes an optimal design scheme to improve the muffler’s capacity of noise reduction of the exhaust system by combining the Taguchi method and a fractional factorial design. As a measuring tool for the performance of a muffler, the performance prediction software which is developed by Oh, Lee and Lee (1996) is used, In the first stage of a design, the length and radius of each component of the current muffler system are selected as control factors. Then, theL 18 table of orthogonal arrays is adopted to extract the effective main factors. In the second stage, the fractional factorial design is adopted to take interactions into consideration, which theL 18 table of orthogonal arrays can not consider. For an optimal design, theL 27 table of orthogonal arrays with main and interaction effects is proposed and the noise factors such as temperature, background noise and humidity are analyzed for more efficient design simultaneously.

Key Words

Muffler Taguchi Method Fractional Factorial Design Larger-the-better Characteristic Table of Orthogonal Arrays 

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References

  1. Bendell, A., Disney, J., and Pridmore., A. 1989,Taguchi Methods: Applications in World Industry, Springer-Verlag, New York.Google Scholar
  2. Box, G.E.P., Hunter, W.G., and Hunter., J.S., 1978,Statistics for Experiments, Wiley & Sons, New York.Google Scholar
  3. Cochran, W. G. and Cox., G. M., 1957,Experimental Designs, Wiley & Sons, New York.zbMATHGoogle Scholar
  4. Craggs, A., 1976, “A Finite Element Approach for Damped Acoustic Systems: An Application to Evaluate the Performance of Reactive Mufflers”, Journal of Sound and Vibration, Vol. 48, pp. 377–392.zbMATHCrossRefGoogle Scholar
  5. Hwang, W.J., Park, G.J. and Lee, W.I., 1994, “Structural Optimization Post Processing Using Taguchi Method”,JSME, Series A, Vol. 37, No. 2. pp. 166–172.Google Scholar
  6. Kim, J. K., 1999, “Optimum Design of a Heat-Exchanger-Fan Casing of Clothe Using the Taguchi Method”,KSME International Journal, Vol. 13 No. 12, pp. 962–972.Google Scholar
  7. Lee, K.H., Eom, I.S., Park, G.J. and Lee, W.I., 1995, “Robust Design for Unconstrained Optimization Using Taguchi Method”,AIAA Journal, Vol. 34, No. 5, pp. 1059–1063.CrossRefGoogle Scholar
  8. Mason, R.L., Gunst, R.F., and Hess, J.L., 1989,Statistical Design and Analysis of Experiments, Wiley & Sons, New York.Google Scholar
  9. Mishima, Nozomu, Ishii, Kosuke, and Mori, Kazuo, 1998, “Robustness Estimation for Machine Tool Designs Using Taguchi Method”,SOURCE Journal of the Japan Society for Precision Engineering, Vol. 64, pp. 1502–1506.Google Scholar
  10. Munjal, N.L., 1987,Acoustics of Ducts and Mufflers, Wiley & Sons, New York.Google Scholar
  11. Oh, J.E., Han, K.H., and Lee., J.C., 1995, “Analysis and Advance for Performance of the Muffler of a Passenger Car”,Proc. of Spring Conference, pp. 726–732 (in Korea).Google Scholar
  12. Oh, J.E., Han, K.H., and Son, D.Y., 1996, “The Design Technique for Low-Noise Intake System of Vehicle”,Proc. of Autumn Conference, Korean Society of Automotive Engineering, pp. 317–322 (in Korea).Google Scholar
  13. Oh, J.E., Lee, K.T., and Lee, J.C., 1996, “Development of the Software for Analysis and Improvement of a Passenger Car’s Muffler”,Journal of Automotive Engineering, Korean Association of Automotive Engineering, Vol. 4, No. 6, pp. 133–143 (in Korea).Google Scholar
  14. Park, S.K., 1994, “Application of Quality Engineering for Energy Efficiency of Compressor”,The 12th Annual Taguchi Symposium, Rochester, New York, pp. 199–211.Google Scholar
  15. Sahasrabudhe, A.D., Anantha R.S. and Munjal, M.L., 1991, “Matrix Condensation and Transfer matrix Techniques in The 3-D Analysis of Expansion Chamber Muffler”,Japan of Sound and Vibration, Vol. 143, No. 7, pp. 37l-394.Google Scholar
  16. Taguchi, G., 1991a.,Quality Engineering of Development and Design, Korea Standard Association, Translated to Korean.Google Scholar
  17. Taguchi, G., 1991b.Experimental Designs for Quality Engineering, Korea Standard Association, Translated to Korean.Google Scholar
  18. Taguchi, G., 1991c,Case Studies of Quality Engineering-America and Europe, Korea Standard Association, Translated to Korean.Google Scholar
  19. Wang, H.T., Liu, Z.J., Chen, S.X., Yang, J.P., 1999, “Application of Taguchi Method to Robust Design of BLDC Motor Performance”,SOURCE IEEE Transactions on Magnetics, Vol. 35 No. 5, pp. 3700–3702.CrossRefGoogle Scholar
  20. Young, Cheng. J. and Crocker, M. J., 1975, “Prediction of Transmission Loss in Mufflers by the Finite Element Method”,The Acoustical Society of America, Vol. 57, No. 1, pp. 144–148.CrossRefGoogle Scholar

Copyright information

© The Korean Society of Mechanical Engineers (KSME) 2000

Authors and Affiliations

  • Jae-Eung Oh
    • 1
  • Kyung-Joon Cha
    • 2
  1. 1.School of Mechanical EngineeringHanyang UniversitySeoulKorea
  2. 2.Department of Mathematics, Lab. of Statistical Data AnalysisHanyang UniversityKorea

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