Mechanics & Industry
Volume 21, Number 2, 2020
|Number of page(s)||11|
|Published online||07 February 2020|
Variational approach for mechatronic tolerancing: application to a DC motor
QUARTZ Laboratory, The School of Mechanical Engineering of Paris (SUPMECA), 3 rue Fernand Hainaut, 93400 Saint-Ouen Cedex, France
2 Laboratory of Mechanics, Modeling and Production, National Engineering School of Sfax (ENIS) BP, 1173-3038 Sfax, Tunisia
* e-mail: firstname.lastname@example.org
Accepted: 31 May 2019
Having an increasingly complex set of inter-relations between several components from different domains, mechatronic systems become more and more complex. The behavior of such systems depends on the values of their parameters and variables. A deviation of these values from their expected values affects the overall functioning of the system, degrades the system quality, and may be a significant threat to safety. To reach an expected quality level, the deviations between actual and target values of parameters should be within specified tolerances. For this, two extreme limits (i.e. upper and lower bounds) of these values must be wisely determined. It is also important to know the impact of parameters deviations on system behavior. Furthermore, the margin of variables should be controlled to evaluate system performance with respect to the specifications, requirements and user needs. This paper describes a methodology based on a variational approach combined with Worst-Case Analysis and Monte Carlo Simulation to determine the impact of the parameters variation on the system behavior. It helps designers to analyze tolerances of mechatronic systems. Our proposed methodology is illustrated with a DC motor case study. The results show that the developed method provides a new way for mechatronic tolerancing.
Key words: General tolerance / parameter variation / variational approach / sensitivity / mechatronic design
© AFM, EDP Sciences 2020
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.