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논문 상세정보


This study proposes a structural design method for the upper control arm installed at the rear side of a SUV. The weight of control arm can be reduced by applying the design and material technologies. In this research, the former includes optimization technology, and the latter the technologies for selecting aluminum as a steel-substitute material. Strength assessment is the most important design criterion in the structural design of a control arm. At the proto design stage of a new control arm, FE (finite element) analysis is often utilized to predict its strength. This study considers the static strength in the optimization process. The inertia relief method for FE analysis is utilized to simulate the static loading conditions. According to the classification of structural optimization, the structural design of a control arm is included in the category of shape optimization. In this study, the kriging interpolation method is adopted to obtain the minimum weight satisfying the strength constraint. Optimum designs are obtained by ANSYS WORKBENCH and the in-house program, EXCEL-kriging program. The optimum results determined from the in-house program are compared with those of ANSYS WORKBENCH.

참고문헌 (11)

  1. P.S. Ahn, S.M. Baeck, H.D. Lee, D.U. Kim and W.J. Kim, "Development of Aluminum Automotive Control Arm Using Squeeze Casting Process," Proc. JSAE Annual Congress, Vol.18-06, pp.9-12, 2006 
  2. VR & D, Inc., GENESIS Version 6.0 User's Manual, Colorado Springs, Colorado, 2000 
  3. Y. S. Kim, H. S. Son, J. Y. Park, S. G. Choi and S. H. Yang, "Finite Element Analysis to Design and Optimized Forming Conditions for Lower Control Arm," Metallurgical and Materials Transactions A, Vol.37A, pp.2539-2547, 2006 
  4. J. Sacks, W. J. Welch, T. J. Mitchell and H. P. Wynn, "Design and Analysis of Computer Experiments," Statistical Science, Vol.4, No.4, pp.409-435, 1989 
  5. DNDE, ANSYS WORKBENCH-Simulation Introduction Release 10.0, Busan, Korea, 2006 
  6. MSC Software Corporation, MSC.NASTRAN 2004 Design Sensitivity and Optimization User's Guide, Santa Ana, California, 2004 
  7. K.H. Lee and D.H. Kang, "Structural Optimization of an Automotive Door Using the Kriging Interpolation Method," Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, Vol.221, No.12, pp.1524-1534, 2007 
  8. Bessert N. and Frederich O., "Nonlinear Airship Aeroelasticity," Journal of Fluids and Structures, Vol.21, No.8, pp.731-742, 2005 
  9. A. Guinta and L. Watson., "A Comparison of Approximation Modeling Techniques: Polynomial versus Interpolating Models," Proceedings of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, Mo, AIAA, Vol.2, pp. 392-440, 1998 
  10. D. C. Lee and J. I. Lee, "Structural Optimization Concept for the Design of an Aluminium Control Arm," Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol.217, No.8, pp.647-656, 2003 
  11. M.S. Kim, C.W. Lee, S.H. Son, H.J. Lim and S.J. Heo, "Shape Optimization for Improving Fatigue Life of a Lower Control Arm Using the Experimental Design," Transactions of KSAE, Vol.11, No.3, pp.161-166, 2003 

이 논문을 인용한 문헌 (4)

  1. Kim, Jong-Kyu ; Park, Young-Chul ; Kim, Young-Jun ; Lee, Kwon-Hee 2009. "Structural Optimization of a Control Arm with Consideration of Durability Criteria" 大韓機械學會論文集. Transactions of the Korean Society of Mechanical Engineers. A. A, 33(11): 1225~1232 
  2. Lee, Dong-Woo ; Huh, Sun-Chul ; Lee, Sang-Suk ; Shim, Jae-Joon 2010. "The Study for Optimal Design of Spindle Insert used in Cotton Spinning Machine" 한국정밀공학회지 = Journal of the Korean Society of Precision Engineering, 27(4): 72~78 
  3. 2010. "" 한국항해항만학회지 = Journal of navigation and port research, 34(7): 553~558 
  4. Jang, Junyong ; Na, Jongho ; Lim, Woochul ; Park, Sanghyun ; Choi, Sungsik ; Kim, Jungho ; Kim, Yongsuk ; Lee, Tae Hee 2014. "Reliability-based Design Optimization for Lower Control Arm using Limited Discrete Information" 한국자동차공학회논문집 = Transactions of the Korean Society of Automotive Engineers, 22(2): 100~106 


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