Abstract

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.

Highlights

  • Many researchers focused on optimizing the designs of sewing machines in order to improve their mechanical performances

  • This paper deals with the multi-objective robust design optimization of the NBTTL mechanism used in sewing machines

  • Using the multiobjective imperialist competitive algorithm (MOICA) algorithm, the Pareto front (Fig. 6) can be determined to find the optimal non-dominated solutions of the multi-objective optimization problem defined by equation (10) under the constraint presented by equation (11)

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Summary

Introduction

Many researchers focused on optimizing the designs of sewing machines in order to improve their mechanical performances. Komarec et al [3] develop a mono-objective optimization of the needle transfer mechanism by means of the software Pro/Engineer Wildfire 4 with the aim to obtain a reduction of needle wear It is a common practice in sewing machine design optimization to consider the nominal value of DPs as input variables. Kalantari et al [9] have developed a hybrid robust evolutionary algorithm by combining the NSGA-II process with a local search method This strategy is used to optimize composite structures under an uncertain fibre angle and a lamina thickness. This paper deals with the multi-objective robust design optimization of the NBTTL mechanism used in sewing machines.

The NBTTL mechanism
Kinematics of the NBTTL mechanism
Deterministic multi-objective optimization design of the NBTTL mechanism
Results and discussions
The NBTTL performance sensitivity
Robust design of the NBTTL mechanism
Conclusion
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