首页> 外文学位 >A fabric deformation methodology for the automation of fiber reinforced polymer composite manufacturing.
【24h】

A fabric deformation methodology for the automation of fiber reinforced polymer composite manufacturing.

机译:一种用于纤维增强聚合物复合材料制造自动化的织物变形方法。

获取原文
获取原文并翻译 | 示例

摘要

This thesis presents a new fabric deformation method, referred to as shifting, for the layup of non-crimp fabric (NCF) plies with the intent of creating an automated layup solution. The mathematical model for the new method has been presented to describe the method and provide the ground work for future path planning of an automation solution. Testing has been completed to show that shifting can produce layups with 2 dimensional geometry without generating out-of-plane distortion.;Fatigue tensile testing was conducted in order to understand the effect of the shifting method on the properties of composite components. Coupons with constant curvature and varying discrete shift quantities were tested to failure. Results are presented with an equation relating discrete shifting quantities to the fatigue life. This equation also predicts the lifetime of a coupon with continuous shifting. This relationship will be necessary in optimizing the path planning for an automated solution.;Finally, a conceptual design and process schematic are presented to show the feasibility of using the shifting method for an automated system.
机译:本文提出了一种新的织物变形方法,称为移位,用于非卷曲织物(NCF)层的铺层,旨在创建一种自动铺层解决方案。已经提出了新方法的数学模型来描述该方法,并为自动化解决方案的未来路径规划提供基础。测试已经完成,表明移位可以产生二维几何形状的叠层,而不会产生平面外变形。进行了疲劳拉伸测试,以了解移位方法对复合部件性能的影响。测试了具有恒定曲率和变化的离散移位量的票券,以测试其是否失败。结果用方程式表示,该方程式将离散换挡量与疲劳寿命联系起来。该方程还预测了连续移位的试样的寿命。这种关系对于优化自动化解决方案的路径规划将是必不可少的。最后,提出了概念设计和过程示意图,以说明将移位方法用于自动化系统的可行性。

著录项

  • 作者

    Magnussen, Corey John.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Engineering Industrial.
  • 学位 M.S.
  • 年度 2011
  • 页码 51 p.
  • 总页数 51
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:59

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