Sequential multiscale simulation of heat transfer and experimental verification of porous phenolic resin composites under Knudsen effect

IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Composites Science and Technology Pub Date : 2024-12-02 DOI:10.1016/j.compscitech.2024.110990
Bo Li , Kuibao Zhang , Jun Jiang , Youan Shi , Zhonghao Ming , Tingze Chen
{"title":"Sequential multiscale simulation of heat transfer and experimental verification of porous phenolic resin composites under Knudsen effect","authors":"Bo Li ,&nbsp;Kuibao Zhang ,&nbsp;Jun Jiang ,&nbsp;Youan Shi ,&nbsp;Zhonghao Ming ,&nbsp;Tingze Chen","doi":"10.1016/j.compscitech.2024.110990","DOIUrl":null,"url":null,"abstract":"<div><div>The randomness and multi-level structures inherent to porous composites with open-pore make it difficult to establish equivalent geometric models at different scales for multi-scale simulations. This paper presents a combined experimental and simulation approach to the preparation, structural analysis and multiscale simulation of quartz fibre-reinforced phenolic composites. The elementalized open-pore porous models with the Knudsen effect, the random fibre yarn models and the random fibre felt models have been established and assembled into a composite structural model after homogenization. The thermal conductivity parameters of the porous model are calculated and transferred to the fibre yarn and fibre felt models for simulation. Thereafter, the thermal conductivity parameters of the three models are transferred to the composite structure model and simulated to obtain its equivalent thermal conductivity. The experimental and simulation results demonstrate that the introduction of the Knudsen effect can reduce the simulation error of the composite structure model by an order of magnitude. In combination with the random contact characteristics of the yarns, the sequential multiscale finite element heat transfer simulation with an error of 0.5 % can be achieved.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"260 ","pages":"Article 110990"},"PeriodicalIF":8.3000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composites Science and Technology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266353824005608","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
引用次数: 0

Abstract

The randomness and multi-level structures inherent to porous composites with open-pore make it difficult to establish equivalent geometric models at different scales for multi-scale simulations. This paper presents a combined experimental and simulation approach to the preparation, structural analysis and multiscale simulation of quartz fibre-reinforced phenolic composites. The elementalized open-pore porous models with the Knudsen effect, the random fibre yarn models and the random fibre felt models have been established and assembled into a composite structural model after homogenization. The thermal conductivity parameters of the porous model are calculated and transferred to the fibre yarn and fibre felt models for simulation. Thereafter, the thermal conductivity parameters of the three models are transferred to the composite structure model and simulated to obtain its equivalent thermal conductivity. The experimental and simulation results demonstrate that the introduction of the Knudsen effect can reduce the simulation error of the composite structure model by an order of magnitude. In combination with the random contact characteristics of the yarns, the sequential multiscale finite element heat transfer simulation with an error of 0.5 % can be achieved.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Knudsen效应下多孔酚醛树脂复合材料的连续多尺度传热模拟及实验验证
开孔多孔复合材料结构的随机性和多层性,使得建立不同尺度的等效几何模型难以进行多尺度模拟。本文采用实验与模拟相结合的方法对石英纤维增强酚醛复合材料的制备、结构分析和多尺度模拟进行了研究。建立了具有Knudsen效应的元素化开孔多孔模型、随机纤维纱线模型和随机纤维毡模型,并在均质化后组合成复合结构模型。计算了多孔模型的导热系数参数,并将其传递到纤维纱线和纤维毡模型中进行仿真。然后,将三种模型的导热系数参数转换到复合材料结构模型中进行模拟,得到复合材料结构模型的等效导热系数。实验和仿真结果表明,引入Knudsen效应可以使复合材料结构模型的仿真误差减小一个数量级。结合纱线的随机接触特性,实现了误差为0.5%的连续多尺度有限元传热模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Composites Science and Technology
Composites Science and Technology 工程技术-材料科学:复合
CiteScore
16.20
自引率
9.90%
发文量
611
审稿时长
33 days
期刊介绍: Composites Science and Technology publishes refereed original articles on the fundamental and applied science of engineering composites. The focus of this journal is on polymeric matrix composites with reinforcements/fillers ranging from nano- to macro-scale. CSTE encourages manuscripts reporting unique, innovative contributions to the physics, chemistry, materials science and applied mechanics aspects of advanced composites. Besides traditional fiber reinforced composites, novel composites with significant potential for engineering applications are encouraged.
期刊最新文献
Sequential multiscale simulation of heat transfer and experimental verification of porous phenolic resin composites under Knudsen effect Lightweight and mechanically strong MXene-Based microcellular nanocomposite foams for integrated electromagnetic interference shielding and thermal management Porous conductive composite as piezoresistive sensors for smart safety helmet Multi-scale numerical calculations for the interphase mechanical properties of carbon fiber reinforced thermoplastic composites Characterization and modelling of the microstructural and mechanical properties of additively manufactured continuous fiber polymer composites
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1