DOI QR코드

DOI QR Code

충격 흡수기의 설계 파라미터 불확실성이 현가 장치 성능에 미치는 영향

The Effects of Design Parameter Uncertainty of the Shock Absorber on the Performance of Suspension System

  • 이춘태 (신라대학교 지능형자동차공학부)
  • 투고 : 2020.08.12
  • 심사 : 2020.10.15
  • 발행 : 2020.10.31

초록

차량을 구성하는 엔진, 미션, 현가, 제동, 조향장치 등 다양한 장치 중에서 현가 장치는 타이어와 차체 사이에 설치되어 노면에 의한 차량의 진동을 억제하여 승차감을 향상시키고 차륜과 노면 사이에 적절한 접지력을 유지시켜 차량의 조정안정성을 향상시키는 등 차량역학적인 측면에서 많은 영향을 미치는 장치 중의 하나이다. 본 연구에서는 차량용 현가 장치의 충격 흡수기를 실제 특성과 유사한 상세 모델로 모델링하고, 충격 흡수기의 주요 설계변수의 불확실성을 통계적으로 고려하여 설계변수의 불확실성이 현가 장치의 동적 특성에 미치는 영향에 대하여 연구하였다.

The functions of shock absorbers are to dampen body, suspend motions, dissipate impact energy, and control tire force variation. During the operation, hydraulic oil is passed between the chambers via a flow restrictions. Therefore the damping force characteristics of shock absorber is determined by the characteristics of orifices and flow restrictions. The uncertainty in design variable affects the performance of suspension system strongly. But, the researches about the influence of uncertainty in design variable such as a fluid restriction's property of shock absorber, on the suspension system performance was hardly ever proposed. In this paper, we used statistical method of Latin Hypercube sampling, and the effects of design variables uncertainty on the performance of suspension system was presented.

키워드

참고문헌

  1. C. T. Lee and J. K. Lee, "A study on the influence of design parameters on the automotive shock absorber performance," Journal of the Korean Society of Precision Engineering, vol. 20, no. 6, 2003, pp. 167-177.
  2. H. H. Lang, "A study of the characteristics of automotive hydraulic dampers at high stroking frequencies," Ph. D. University of Michigan, 1977, pp. 1-254.
  3. V. Barethiye, G. Pohit, and A. Mitra, "A combined nonlinear and hysteresis model of shock absorber for quarter car simulation on the basis of experimental data," Engineering Science and Technology, An International Journal, vol. 20, 2017, pp. 1610-1622. https://doi.org/10.1016/j.jestch.2017.12.003
  4. C. T. Lee, "A study on the optimization design of damper for the improvement of vehicle suspension performance," Journal of Drive and Control, vol. 15, no. 4, 2018, pp. 74-80. https://doi.org/10.7839/KSFC.2018.15.4.074
  5. S. W. Kang and S. J. Lee, "Study on optimization of design parameters for offshore mooring system using sampling method," Journal of Ocean Engineering and Technology, vol. 32, no. 4, 2018, pp. 215-221. https://doi.org/10.26748/KSOE.2018.6.32.4.215
  6. J. W. Huh, H. W. Jung, J. H. Ahn, and S. W. An, "Probabilistic risk assessment of coastal structures using lhs-based reliability analysis method," Journal of Korea Institute for Structural Maintenance Inspection, vol. 19, no. 6, 2015, pp. 72-79. https://doi.org/10.11112/jksmi.2015.19.6.072
  7. B. Minasny and A. B. McBratney, "A conditioned latin hypercube method for sampling in the presence of ancillary information," Computers & Geosciences, vol. 32, 2006, pp. 1378-1388. https://doi.org/10.1016/j.cageo.2005.12.009
  8. J. S. Lee, S. J. Park, and J. O. Kim, "Optimizing coagulation conditions of magnetic based ballast using response surface methodology," Korean Soc. Environ. Eng., vol. 39, no. 12, 2017, pp. 689-697. https://doi.org/10.4491/KSEE.2017.39.12.689
  9. G. S. Song, N. Y. Ko and H. S. Choi, "Attitude estimation of unmanned vehicles using unscented kalman filter," Journal of the Korea Institute of Electronic Communication Sciences, vol. 14, no. 1, 2019, pp. 265-274. https://doi.org/10.13067/JKIECS.2019.14.1.265
  10. J. A. Kwon, Y. G. Kim, J. C. Lee and W. J. Kim, "Big data analysis and processing for remote control of PV facilities," Journal of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 4, 2018, pp. 837-844. https://doi.org/10.13067/JKIECS.2018.13.4.837
  11. K. Gu, G. Zhai, and W. Zhang, "Hybrid no-reference quality metric for singly and multiply distorted images," IEEE Transactions on Broadcasting, 2014, pp. 1-12.
  12. C. T. Lee, "Study on the performance characteristics of the seat damper using probability statistics," Journal of the Korean Society for Power System Engineering, vol. 24, no. 3, 2020, pp. 82-89. https://doi.org/10.9726/kspse.2020.24.3.082