Optimum Design of a Composite Helical Spring by Multi-criteria Optimization

A new methodology for the optimum design of composite helical springs with braided fibrous reinforcement is presented in this article. A multi-objective evolutionary algorithm is implemented to optimize two conflicting goals: minimize mass and maximize stiffness. Several design variables that have an influence on the mechanical properties of the spring must be considered: the braiding angle, number of plies and the standard design parameters of a helical spring. Design goals are set such as for standard metallic springs: equivalent mechanical performance, mass reduction, and comparable cost. Three different braided reinforcements in carbon, kevlar, and glass were analyzed with the same epoxy matrix. In helical springs, shear plays the most important role on spring performance. Taking into account the shear properties of braided composites and a series of technological constraints, a range of composite springs was devised, among which an optimal spring was selected for an automotive application, namely to replace the metallic spring of the suspension of a sport utility vehicle.

[1]  P. Mallick.  Fiber-reinforced composites : materials, manufacturing, and design , 1989 .

[2]  Mitsuo Gen,et al.  A solution method for optimal weight design problem of herical spring using genetic algorithms , 1997 .

[3]  Norman A. Fleck,et al.  Deformation and failure mechanisms of braided composite tubes in compression and torsion , 2000 .

[4]  Norman A. Fleck,et al.  On the mechanics of braided composites in tension , 2000 .

[5]  Kalyanmoy Deb,et al.  A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.

[6]  Giampiero Mastinu,et al.  On the Optimal Design of Composite Material Tubular Helical Springs , 2001 .

[7]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[8]  Marc Schoenauer,et al.  Application of a Multi-Objective Evolutionary Algorithm to Topological Optimum Design , 2002 .

[9]  S. Tsai,et al.  Composite Materials: Design and Applications , 2002 .

[10]  Richard Labib,et al.  Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm , 2004, PPSN.

[11]  Maarten Keijzer,et al.  Evolving Objects: Evolutionary computation framework , 2004 .

[12]  Alice M. Agogino,et al.  Automating keyphrase extraction with multi-objective genetic algorithms , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[13]  François Trochu,et al.  Evaluation of the Physical and Mechanical Properties of Braided Fabrics and their Composites , 2005 .

[14]  Alma Hodzic,et al.  Composite Materials: Design and Applications — Second edition D. Gay and S.V. Hoa CRC Press, Taylor and Francis Group, 2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN UK. 2008. 548pp. Illustrated. £39.99. ISBN 1-4200-4519-9. , 2009, Aeronautical Journal.