한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)

  • 제25권12호
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  • Pages.117-124
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  • 2008
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  • 1225-9071(pISSN)
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  • 2287-8769(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
권호 표지

Hybrid TPA를 이용한 파워트레인 구조기인 실내소음 예측

Prediction of Interior Noise by Excitation Force of Powertrain Based on Hybrid Transfer Path Analysis

  • 발행 : 2008.12.01
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초록

In early design stage, the simulation of interior noise is useful for the enhancement of the noise, vibration and harshness (NVH) performance in a vehicle. The traditional transfer path analysis (TPA) technology cannot simulate the interior noise since it uses the experimental method. In order to solve this problem, in this paper, the hybrid TPA is developed as the novel approach. The hybrid TPA uses the simulated excitation force as the input force, which excites the flexible body of a car at the mount point, while the traditional TPA uses the measured force. This simulated force is obtained by numerical analysis for the FE (finite element) model of a powertrain. The interior noise is predicted by multiplying the simulated force by the vibro-acoustic transfer function (VATF) of the vehicle. The VATF is the acoustic response in the compartment of a car to the input force at the mount point of the powertrain in the flexible car body. The trend of the predicted interior noise based on the hybrid TPA very well corresponds to the measured interior noise, although there is some difference due to not only the experimental error and the simulation error but also the effect of the air-borne path.

키워드

참고문헌

  1. Lee, S. K., Yeo, S. D., Kim, B. K. and Rho, I. H., 'Weight Reduction and Noise Refinement of Hyundai 1.5Liter Powertrain,' SAE Paper No. 940995, 1994
  2. Seki, Y., Suzuki, T., Tsukahara, M. and Takahashi, Y., 'How to Predict Powertrain Vibration at the Engine Mounting Points under Running Conditions,' SAE Paper No. 2001-01-1592, 2001
  3. Kim, S. J., Lee, J. Y. and Lee, S. K., 'Noise Refinement of a Vehicle by Reduction the Axle Gear Whine Noise Based on Structural Modification Using FEM and BEM,' Int. J. Automotive Technology, Vol. 8, No. 5, pp. 605-614, 2007
  4. Sakai, T. and Sakamoto, A., 'Improvement of Engine Noise for the 2003 Accord using Hybrid CAE Technology,' SAE Paper No. 2003-01-1427, 2003
  5. Wyckaert, K. and Auweraer, H. V., 'Operational Analysis, Transfer Path Analysis, Modal Analysis: Tools to Understand Road Noise Problem in Cars,' SAE Paper No. 951752, 1995
  6. Yi, S. J. and Seo, J. M. 'Powerflow Simulation Software of the Automotive Powertrain through the Combination of the Component (II)： Development of the Automatic System Generation Module,' J. of KSPE, Vol. 21, No. 2, pp. 52-59, 2004
  7. Kim, B. G. and Ih, J. G., 'In-Situ Estimation of an Acoustic Source in an Enclosure and Prediction of Interior Noise by Using the Principle of Vibroacoustic Reciprocity,' J. Acoustical Society of America, Vol. 93, No. 5, pp. 2726-2731, 1993 https://doi.org/10.1121/1.405848
  8. Ko, K. H., Kook, H. S. and Heo, S. J., 'New Technique in the Use of Vibro-Acoustical Reciproicity with Application to the Noise Transfer Function Measurement,' Int. J. Automotive Technology, Vol. 7, No. 2, pp. 173-177, 2006
  9. Lee, S. K., 'Identification of a Vibration Transmission Path in a Vehicle by Measuring Vibrational Power Flow,' Proc. Instn. Mech. Engrs.(D), Vol. 218, No. 2, pp. 167-175, 2004 https://doi.org/10.1243/095440704772913945
  10. Auweraer, H. V., Mas, P., Dom, S., Vecchio, A., Janssens, K. and Ponseele P. V., 'Transfer Path Analysis in Critical Path of Vehicle Refinement: the Role of Fast, Hybrid and Operational Path Analysis,' SAE Paper No. 2007-01-2352, 2007
  11. Lee, S. K. and Chae, H. C., 'The Application of Artificial Neural Networks to the Characterization of Interior Noise Booming in Passenger Cars,' Proc. Instn. Mech. Engrs.(D), Vol. 218, No. 1, pp. 33-42, 2004 https://doi.org/10.1243/095440704322829146
  12. Lee, S. K., Kim B. S. and Park D. C., 'Objective Evaluation of the Rumbling Sound in Passenger Cars Based on an Artificial Neural Network,' Proc. Instn. Mech. Engrs.(D), Vol. 219, No. 4, pp. 457-469, 2005 https://doi.org/10.1243/095440705X11112