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Optimal Robust Design of Motorcycle Suspension Systems
ISSN: 0148-7191, e-ISSN: 2688-3627
Published December 01, 2000 by SAE International in United States
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This work is concerned with the optimization of motorcycle suspension features, taking into account that several different operating conditions can occur. In order to have the suspension simultaneously optimized to a range of these conditions, its parameters are treated as deterministc design variables (in the classical automatic optimization sense) subject to the engineer's influence. Excitation parameters, on the other hand, are considered to be random or “noise” factors, out of the engineer's control. Once the structural and operational parameters are grouped into these categories, they are arranged in the form of combinatorial orthogonal arrays, and robust design techniques are employed to reach designs that besides being optimal, are imune to operating conditions variability. The characteristic robustness metrics used in this work are the Signal-to-Noise ratio (S/N) and the design capability index (Cdk). They are individually analysed and then compared, in order to determine the most suitable configuration.
CitationLeal, M., Borges, J., and Butkewitsch, S., "Optimal Robust Design of Motorcycle Suspension Systems," SAE Technical Paper 2000-01-3216, 2000, https://doi.org/10.4271/2000-01-3216.
- BORGES, J.A.F.; “Dinâmica de Veículos Articulados: Simulação Computacional e Ensaios Experimetais”; Tese de Doutorado; Universidade Federal de Uberlândia; Maio 1999; 213 p.
- BORGES, J.A.F., STEFFEN V., JR., SCHARDIJN, E. C. and ARGENTINO, M. .A.; “Optimization of the Dynamical Behavior of Vehicles”; SAE Technical Paper Series No. 962330 E - Anais do IV Congresso e Exposição Internacionais de Tecnologia da Mobilidade; São Paulo; 1996; Brasil.
- SCHIMDT, L. .A.; “Structural Design by Systematic Synthesis”; Proceedings 2nd Conference on Electronic Computation ASCE; New York; pp 105-122; 1960.
- BUTKEWITSCH, S.; “Otimização de Sistemas Mecânicos: Ferramenta de Engenharia de Concepção”; Dissertação de Mestrado; Universidade Federal de Uberlândia; 1998; 155 p.
- VANDERPLAATS, G. N.; “Numerical Optimazation Techniques for Engineering Design”; Vanderplaats Research and Development Inc.; 2nd Edition, 1998.
- MONTGOMERY, D. C., 1996, “Design and Analysis of Experiments”, John Willey & Sons, 4th Edition.
- BOX, G. E. P.; DRAPER, N. R.; “Empirical Model-Building and Response Surfaces”; John Willey & Sons, 1986.
- UNAL, R., BRAUN, R. D., MOORE, A. A., LEPSCH, R. A.; “Response Surface Model Building Using Orthogonal Arrays for Computer Experiments”; 19th Annual International Conference of the International Society of Parametric Analysis, New Orleans, Louisiana, May 27-30, 1997, pp. 13.
- CHEN, W.; GARIMELLA, R.; “Robust Design for Improved Vehicle Handling Under a Range of Maneuver Conditions”; Proceedings of the 1999 ASME Design Engineering Techinical Conferences; September 12-15; 1999; Las Vegas; Nevada
- WHELLER, D. J., 1993, “Understanding Variation: The key to manage chaos”, SPC Press Inc., 1993.
- OLIVEIRA, C. A., 1997, “Engenharia da Qualidade - Método Taguchi”, publicação interna Belgo Mineira, João Monlevade, 239p.