Virtual Material Characterization of 3D Orthogonal Woven Composite Materials by Large-scale Computing

Author:

Lee Chang Sung1,Chung Soon Wan1,Shin Heon1,Kim Seung Jo2

Affiliation:

1. School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinlim-dong, Kwanak-ku, Seoul, 151-742, Republic of Korea

2. School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinlim-dong, Kwanak-ku, Seoul, 151-742, Republic of Korea,

Abstract

In this paper, the virtual material characterization of three dimensional (3D) orthogonal woven composite materials is investigated by large-scale finite element analyses to predict the elastic properties. To numerically model the complex geometry of 3D orthogonal woven composites, a unit structure including the stuffer yarns, filler yarns, weaver yarns, and the resin region is generated based on direct numerical simulation (DNS) and the unit structures with the same pattern are assembled into an orthogonal woven composite structure composed of several millions of degrees of freedom. The influence of the geometrical irregularities, such as the inconsistent tow spacing and the waviness of the filler yarn, on the mechanical properties are also discussed by separately generating the yarns and the resin. From the numerical examples, it is shown that the pattern of tow distribution affects the shear modulus, and the direct modeling of the wavy yarns can produce more accurate stiffness knockdown. It is also emphasized that large-scale numerical analyses can be one of the methodologies sufficient for the material characterization of the orthogonal woven composites and can be more applicable in the realistic structure subject to complex loading compared to the unit cell approach.

Publisher

SAGE Publications

Subject

Materials Chemistry,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Cited by 39 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3