Abstract
This paper proposes a dynamic synthesis of a flexible multibody systems, mainly, a slider crank mechanism incorporating a flexible connecting rod. Differently to classical synthesis, the mechanism design variables are identified by means of the mechanism dynamic responses such as, the velocity and the acceleration of the slider, and the flexible connecting rod transversal deflection. A comparative study between two optimization techniques, the genetic algorithm (GA) and the Particle Swarm Optimization (PSO), has been established. The two approaches employ different strategies and computational effort to find a solution to a given objective function. Thus, we are interested in the comparison of their implementation. The comparative study asserts that the PSO technique is more suitable for the dynamic synthesis.
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Ben Abdallah, M.A., Khemili, I., Laribi, M.A., Aifaoui, N. (2018). Dynamic Synthesis of a Multibody System: A Comparative Study Between Genetic Algorithm and Particle Swarm Optimization Techniques. In: Zeghloul, S., Romdhane, L., Laribi, M. (eds) Computational Kinematics. Mechanisms and Machine Science, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-60867-9_26
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DOI: https://doi.org/10.1007/978-3-319-60867-9_26
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