...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Indian Journal of Fibre & Textile Research >Simulation of yarn stress relaxation and creep behaviors using genetic algorithm
【24h】

Simulation of yarn stress relaxation and creep behaviors using genetic algorithm

机译：用遗传算法模拟纱线应力松弛和蠕变行为

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Eyring's non-linear visco-elastic model has been used to describe two important time dependent mechanical behaviors for textile materials such as stress relaxation and creep. Three yarns suitable for the production of stretch fabrics, viz. 100% wool, wool-lycra and polyester-wool-lycra spun from siro spinning technology are considered in this study. The complex mathematical equations of Eyring's model are handled by a nontraditional evolutionary algorithm such as genetic algorithm. The findings show that Eyring's model not only simulates both stress relaxation as well as creep behaviors of the experimental yarns with reasonable degree of accuracy, but also deciphers the underlying molecular mechanism of the two behaviors for these yarns.
机译：Eyring的非线性粘弹性模型已用于描述纺织材料的两个重要的随时间变化的机械行为，例如应力松弛和蠕变。适用于生产弹力织物的三种纱线。这项研究考虑了采用西罗纺丝技术纺制的100％羊毛，羊毛莱卡和涤纶羊毛莱卡。 Eyring模型的复杂数学方程由非传统进化算法（例如遗传算法）处理。研究结果表明，Eyring模型不仅以合理的精度模拟了实验纱线的应力松弛以及蠕变行为，而且还揭示了这两种行为的潜在分子机理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号