Multi-objective robust design optimization of a sewing mechanism under uncertainties
| Autor: | Bilel Najlawi, Lotfi Romdhane, Zouhaier Affi, Mohamed Nejlaoui |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Engineering business.industry Probabilistic-based design optimization Monte Carlo method Robust optimization Imperialist competitive algorithm 02 engineering and technology Industrial and Manufacturing Engineering Standard deviation Tracking error Jerk 020901 industrial engineering & automation Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Sensitivity (control systems) business Software |
| Zdroj: | Journal of Intelligent Manufacturing. 30:783-794 |
| ISSN: | 1572-8145 0956-5515 |
| DOI: | 10.1007/s10845-016-1284-0 |
| Popis: | 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 combined multi-objective imperialist competitive algorithm and Monte Carlo method are developed and used for the robust multi-objective optimization of the NBTTL mechanism. This robust optimization considers simultaneously the Needle Jerk, the transmission angle, the coupler tracking error and their standard deviations where the design parameters uncertainties are considered. The obtained results showed that the robust design reduces significantly the sensitivity of the NBTTL performances to the design parameters uncertainties compared to the deterministic one and to the commercialized Juki 8700 machine. |
| Databáze: | OpenAIRE |
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