Mechanics & Industry
Volume 18, Number 6, 2017
|Number of page(s)||12|
|Published online||21 March 2018|
Multi-objective robust design optimization of the mechanism in a sewing machine
LGM, ENIM, University of Monastir,
2 Department of Mechanical Engineering, American University of Sharjah, Sharjah, UAE
* e-mail: firstname.lastname@example.org
Accepted: 4 January 2017
This work deals with the multi-objective robust design optimization of a needle-bar-and-thread-take-up-lever (NBTTL) mechanism used in sewing machines. A multi-objective imperialist competitive algorithm combined with the Monte Carlo method is developed and used for the robust multi-objective optimization of the NBTTL mechanism. This robust optimization minimizes simultaneously the needle jerk, the maximum angular velocity ratio and their standard deviations when the design parameters are known with a given uncertainty. By comparison with Juki 8700, the obtained results showed that the developed algorithm can give a robust design of a sewing machine with the same performance as the those obtained by deterministic methods but less sensitive to the design parameters uncertainties.
Key words: Robust design / sewing machine / uncertainty / imperialist competitive algorithm / Monte Carlo simulation
© AFM, EDP Sciences 2017
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