当前位置: X-MOL 学术Compos. Sci. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A novel methodology to construct periodic multi-layer 2D woven unit cells with random nesting configurations directly from μCT-scans
Composites Science and Technology ( IF 9.1 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.compscitech.2020.108125
W. Wijaya , P.A. Kelly , S. Bickerton

Abstract This paper presents a novel methodology to derive multi-layer textile unit cells directly from μCT scans of real textile specimens. The constructed unit cells are guaranteed to be periodic and free from inter-tow penetrations. Furthermore, no assumptions with regards to the tows’ shape and spatial placement are imposed, which set the proposed technique apart from the state-of-the-art textile unit cell modelling approaches. The methodology can derive various unique unit cells with an arbitrary number of layers and nesting configurations from a given μCT-dataset, which are readily converted to finite element models that contain local information such as fibre fraction and orientation.

中文翻译:

一种直接从 μCT 扫描构建具有随机嵌套配置的周期性多层 2D 编织单位单元的新方法

摘要 本文提出了一种直接从真实纺织品样本的 μCT 扫描中推导出多层纺织品单位单元的新方法。构造的单元格保证是周期性的并且没有丝束间穿透。此外,没有强加关于丝束形状和空间布置的假设,这使所提出的技术与最先进的纺织单元建模方法区别开来。该方法可以从给定的 μCT 数据集导出具有任意层数和嵌套配置的各种独特的单元格,这些单元格很容易转换为包含局部信息(如纤维分数和方向)的有限元模型。
更新日期:2020-06-01
down
wechat
bug