Mechanics & Industry
Volume 19, Number 1, 2018
|Number of page(s)||9|
|Published online||24 August 2018|
Conceptual design decision support of a mechatronic system using analytical approach with Modelica
QUARTZ EA7393, SUPMECA-Paris,
3 rue Fernand Hainaut,
2 Mechanics, Modeling and Production Research Laboratory, National School of Engineers of Sfax, University of Sfax, BP.1173, Sfax 3038, Tunisia
* e-mail: firstname.lastname@example.org
Accepted: 4 March 2018
During conceptual design phase, system architects pre-validate architectures following different constrains. This paper proposes a new pre-designing method applied to a flexible multibody system to characterize its vibrational behavior analytically with Dymola/Modelica language. We study the vibration interaction between perturbations sources (motors) and receivers (electronic cards) through a flexible beam with arbitrary boundary conditions. In fact, a lot of mechatronic systems may have their natural frequencies and mode shapes dependent on their spatial configuration, which affect the dynamic response of the system. This methodology shows that using Modelica, we can implement different boundary conditions, making the element suitable for any multibody simulation. This model can help system architects to study the influence of the boundary conditions on the system response. Two types of boundary conditions are considered in this study, simply supported–simply supported (S-S) and clamped–clamped (C-C). The solution for this issue would be a pre-positioning procedure which targets to provide a support for decision-making on the feasibility of a given system architecture at an early design stage, before proceeding to the detailed design. The simulation results have been validated with respect to the literature and by a comparison with those obtained by the model based on the Beam component which belongs to the Modelica flexible Bodies Library.
Key words: Pre-designing / Dymola / vibration / flexible multibody system
© AFM, EDP Sciences 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.