Abstract
The dynamic behavior of multibody systems has been widely studied. Thus, effects of imperfections such as clearance, friction and flexibility on the dynamic behaviour are dealt with various tremendous works. For a given dynamic response, the mechanism design variables needs to be defined. This identification approach is known as the mechanism synthesis. Despite all these imperfections, the mechanism should describe a precise workspace traduced by the trajectory path of the effector component. In this work, the dynamic synthesis for a multibody system with imperfections is presented. A demonstrative slider crank mechanism with a flexible connecting rod has been used for the algorithm validation. The identification approach is based on its dynamic responses such as: the slider velocity and acceleration and the transversal deflection of the flexible connecting rod. A genetic algorithm has been developed to identify its design variables. This algorithm is implemented under Matlab(c). The presented results are in great agreement with the real mechanism dimensions.
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Ben Abdallah, M.A., Khemili, I., Aifaoui, N. (2020). Optimization of a Flexible Multibody System Design Variables Using Genetic Algorithm. In: Aifaoui, N., et al. Design and Modeling of Mechanical Systems - IV. CMSM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-27146-6_101
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DOI: https://doi.org/10.1007/978-3-030-27146-6_101
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