Robust Design Strategy Applied to Vehicle Suspension System

Author(s):  
Marie-Maud Chatillon ◽  
Louis Je´ze´quel

This paper presents a robust design strategy for the design of complex mechanical systems. The design strategy is based on the hierarchical optimization of design variables. Simplified physics-based models are used in each step of the design and optimization process. The steps of the design process correspond to the different stages of the design process, from functional requirements and decomposition, to design of the parts. Besides optimization, robustness of the solution to variations in design variables and environmental conditions is essential. The methodology presented in this paper is applied to the optimization of the design parameters of a vehicle suspension system. The consideration of parameters uncertainties from early design stages, the organization of the optimization process, and the use of simplified models, allow to obtain performant and robust design, and to manage design trade-offs.

2013 ◽  
Vol 62 (1) ◽  
pp. 42
Author(s):  
Estelle Koensgen ◽  
Sébastien Berger ◽  
Christophe Bouet ◽  
Louis Jezequel ◽  
Evelyne Aubry

2006 ◽  
Vol 44 (11) ◽  
pp. 817-839 ◽  
Author(s):  
M. M. Chatillon ◽  
L. Jezequel ◽  
P. Coutant ◽  
P. Baggio

Author(s):  
Qiang Yu ◽  
Yusuke Kageyama ◽  
Hiroki Minami

In general, vehicle structure design processes, like a suspension system, are performed in three stages, the concept design, the basic design, and the detailed design processes. There is incessant demand to shorten the design time required for all three of these stages. An abundance of CAE technologies have been developed for the detailed design process, serving as powerful tools to improve design quality and efficiency. However, the concept design process is still performed using classic approaches, such as experience and know-how. By implementing a quantitative analysis method to evaluate design information, design engineers can improve their design concept or basic design plans. Unfortunately, the early design stages involve numerous design factors and extensive design ranges, making it difficult for design engineers to fully understand the extent of their design capacity. This paper introduces a new approach called the Design Space Embossing Method. This method uses CAE technology to efficiently search for promising design spaces for complicated basic design processes. Having this information will enable engineers to visually comprehend the design capabilities in the early phases of the design process. When this method is implemented, the number of necessary samples can be drastically reduced while providing a satisfactory result for even complicated multiple maximum problems. In this paper, the proposed method has been applied to the basic design process of a vehicle suspension system. The results show that the design spaces generated by this method could help design engineers understand the basic behavior of the system.


1999 ◽  
Vol 33 (sup1) ◽  
pp. 3-22 ◽  
Author(s):  
Massimiliano Gobbi ◽  
Giampiero Mastinu ◽  
Carlo Doniselli ◽  
Luca Guglielmetto ◽  
Enrico Pisino

Author(s):  
Massimiliano Gobbi ◽  
Giampiero Mastinu ◽  
Carlo Doniselli ◽  
Luca Guglielmetto ◽  
Enrico Pisino

Author(s):  
Maria Aline Gonçalves ◽  
Rodrigo Tumolin Rocha ◽  
Frederic Conrad Janzen ◽  
José Manoel Balthazar ◽  
Angelo Marcelo Tusset

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