Structural Engineering and Mechanics

  • 제68권5호
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  • Pages.633-638
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  • 2018
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Multi-objective optimization of double wishbone suspension of a kinestatic vehicle model for handling and stability improvement

  • Bagheri, Mohammad Reza (Department of Mechanical Engineering, Malek-Ashtar University of Technology) ;
  • Mosayebi, Masoud (Department of Mechanical Engineering, Malek-Ashtar University of Technology) ;
  • Mahdian, Asghar (Department of Mechanical Engineering, Malek-Ashtar University of Technology) ;
  • Keshavarzi, Ahmad (Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University)
  • 투고 : 2018.07.18
  • 심사 : 2018.10.25
  • 발행 : 2018.12.10
⟨ 이전 논문 다음 논문 ⟩

초록

One of the important problems in the vehicle design is vehicle handling and stability. Effective parameters which should be considered in the vehicle handling and stability are roll angle, camber angle and scrub radius. In this paper, a planar vehicle model is considered that two right and left suspensions are double wishbone suspension system. For a better analysis of the suspension geometry, a kinestatic model of vehicle is considered which instantaneous kinematic and statics relations are analyzed simultaneously. In this model, suspension geometry is considered completely. In order to optimum design of double wishbones suspension system, a multi-objective genetic algorithm is applied. Three important parameters of suspension including roll angle, camber angle and scrub radius are taken into account as objective functions. Coordinates of suspension hard points are design variables of optimization which optimum values of them, corresponding to each optimum point, are obtained in the optimization process. Pareto solutions for three objective functions are derived. There are important optimum points in these Pareto solutions which each point represents an optimum status in the model. In other words, corresponding to any optimal point, a specific geometric position is determined for the suspension hard points. Each of the obtained points in the Pareto optimization can be selected for a special design purpose by designer to create an optimum condition in the vehicle handling and stability.

키워드

참고문헌

  1. Arikere, A., Kumar, G.S. and Bandyopadhyay, S. (2010), "Optimisation of double wishbone suspension system using multi-objective genetic algorithm", Simulat. Evol. Learn., 445-454.
  2. Cheng, X. and Lin, Y. (2014), "Multi-objective robust design of the double wishbone suspension system based on particle swarm optimization", Sci. World J., 354857, 1-7.
  3. Fallah, M.S., Bhat, R. and Xie, W.F. (2009), "New model and simulation of Macpherson suspension system for ride control applications", Vehic. Syst. Dyn., 47(2), 195-220. https://doi.org/10.1080/00423110801956232
  4. Kaleibar, M.M., Javanshir, I., Asadi, K., Afkar, A. and Paykani, A. (2013), "Optimization of suspension system of off-road vehicle for vehicle performance improvement", J. Centr. South Univ., 20(4), 902-910. https://doi.org/10.1007/s11771-013-1564-1
  5. Kim, J.W., Hong, M.B. and Choi, Y.J. (2013), "New Jacobian approach to the kinestatic analysis of a planar double-wishbone suspension mechanism", J. Automob. Eng., 227(7), 1085-1096. https://doi.org/10.1177/0954407012464747
  6. Li, P., Huang, Y., Li, H., Wang, K., Xia, N. and Yang, H. (2018a), "Efficient modelling and optimization for double wishbone suspensions based on a non-adaptive sampling sparse response surface", Eng. Optim., 0305215X.2018.1458846, 1-15.
  7. Li, Q., Yu, X. and Wu, J. (2018b), "An improved genetic algorithm to optimize spatial locations for double-wishbone type suspension system with time delay", Math. Prob. Eng., 6583908, 1-8.
  8. Nagarkar, M.P., Patil, G.J.V. and Patil, R.N.Z. (2016), "Optimization of nonlinear quarter car suspension-seat-driver model", J. Adv. Res., 7(6), 991-1007. https://doi.org/10.1016/j.jare.2016.04.003
  9. Papaioannou, G. and Koulocheris, D. (2018), "An approach for minimizing the number of objective functions in the optimization of vehicle suspension systems", J. Sound Vibr., 435, 149-169. https://doi.org/10.1016/j.jsv.2018.08.009
  10. Sancibrian, R., Garcia, P., Viadero, F., Fernandez.A. and Juan, A.D. (2010), "Kinematic design of double-wishbone suspension systems using a multi-objective optimization approach", Vehic. Syst. Dyn., 48(7), 793-813. https://doi.org/10.1080/00423110903156574
  11. Sert, E. and Boyraz, P. (2017), "Optimization of suspension system and sensitivity analysis for improvement of stability in a midsize heavy vehicle", Eng. Sci. Technol., 20(3), 997-1012.
  12. Su, Z., Xu, F., Hua, L., Chen, H., Wu, K. and Zhang, S. (2018), "Design optimization of minivan MacPherson-strut suspension system based on weighting combination method and neighborhood cultivation genetic algorithm", Proceedings of the Institution of Mechanical Engineers, Part D: J. Automob. Eng., 095440701878930, 1-11.
  13. Tang, C., He, L. and Khajepour, A. (2018), "Design and analysis of an integrated suspension tilting mechanism for narrow urban vehicles", Mech. Mach. Theor., 120, 225-238. https://doi.org/10.1016/j.mechmachtheory.2017.09.025
  14. Wang, Y., Gao, J. and Chen, E. (2011), "Kinematic analysis and optimum design of double wishbone independent suspension based on Adams' view", Adv. Mater. Res., 314-316, 2091-2095. https://doi.org/10.4028/www.scientific.net/AMR.314-316.2091
  15. Yang, Y., Huang, H., Wang, Y.J., Liu, X.T. and Zhao, L.H. (2012), "Optimization design of double wishbone independent suspension based on ADAMS", Appl. Mech. Mater., 138-139, 252-256.
  16. Zhao, P., Yao, G.F., Wang, M., Wang, X. and Li, J. (2012), "A new method to calculate the equivalent stiffness of the suspension system of a vehicle", Struct. Eng. Mech., 44(3), 363-378. https://doi.org/10.12989/sem.2012.44.3.363