Multi objective optimization of rotorcraft compact spinning system using fuzzy-genetic model
| Autor: | Parvaneh Kheirkhah Barzoki, Morteza Vadood, Majid Safar Johari |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010407 polymers
Engineering Polymers and Plastics business.industry Materials Science (miscellaneous) Sorting Control engineering 02 engineering and technology Yarn 021001 nanoscience & nanotechnology 01 natural sciences Multi-objective optimization Fuzzy logic Industrial and Manufacturing Engineering 0104 chemical sciences Control theory visual_art Genetic model Genetic algorithm visual_art.visual_art_medium 0210 nano-technology General Agricultural and Biological Sciences business Spinning Membership function |
| Zdroj: | The Journal of The Textile Institute. 108:2166-2172 |
| ISSN: | 1754-2340 0040-5000 |
| Popis: | In this paper, the mechanical and physical properties of rotorcraft compact spinning yarns were evaluated. For this aim, the filament pre-tension, yarn count and type of sheath fibers were selected as the controllable factors, and the effect of them on the elongation and hairiness was investigated statistically and the obtained results indicated that controllable factors have significant effect on the measured properties. In the next step, the relation between factors and measured properties was modeled by fuzzy interface system and genetic algorithm was used to optimize the number of membership function and its kind. It was observed that the accuracy of obtained models for both elongation and hairiness is acceptable (correlation coefficient for both models was: 0.99). Finally, to find a set of controllable factors to produce a yarn with high elongation and low hairiness, multi objective optimization was applied by means of non-dominated sorting genetic algorithm and a set of trade off solutions o... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|