Deep learning-based Meso-scale reconstruction and bending failure mechanism of spreading fabric/felt needle C/SiC laminated composites

IF 7.7 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Communications Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI:10.1016/j.coco.2026.102708

Zhongwei Fang , Jianhua Zheng , Shun Chen , Yang Jin , Zengyuan Pang , Diantang Zhang

{"title":"Deep learning-based Meso-scale reconstruction and bending failure mechanism of spreading fabric/felt needle C/SiC laminated composites","authors":"Zhongwei Fang , Jianhua Zheng , Shun Chen , Yang Jin , Zengyuan Pang , Diantang Zhang","doi":"10.1016/j.coco.2026.102708","DOIUrl":null,"url":null,"abstract":"<div><div>Needled carbon/silicon carbide (C/SiC) composites are widely used in the field of aerospace. However, reducing porosity and enhancing mechanical properties remain critical challenges. To address these challenges, this paper investigates the bending damage behavior and failure mechanisms of spreading fabric/felt needled C/SiC laminated composites (SFNPCS). Three kinds of SFNPCS, SFNP-15Gs (needle depth: 15 mm, hook type: G), SFNP-15Fs (needle depth: 15 mm, hook type: F), and SFNP-11Gs (needle depth: 11 mm, hook type: G), were innovatively designed and prepared. Then, a deep learning–based yarn segmentation method was employed to achieve a reconstruction of the meso-scale model of SFNPCS. Finally, the bending properties and progressive damage behavior of SFNPCS were investigated through a combined experimental and numerical approach. The results demonstrated that the densification efficiencies of SFNP-15Gs, SFNP-15Fs, and SFNP-11Gs are 572.58 %, 566.87 %, and 552.80 %, respectively, with SFNP-15Gs achieving 1.5 % and 3.6 % higher efficiency than SFNP-15Fs and SFNP-11Gs due to its G-type needles, increased fiber coverage, and deeper needling. SFNP-15Gs also exhibits the highest bending strength (162.63 MPa), 6.20 % and 18.06 % higher than SFNP-15Fs and SFNP-11Gs, respectively. The primary failure mechanisms of SFNPCS include matrix fracture, fiber pull-out, interface debonding, and varying degrees of delamination.</div></div>","PeriodicalId":10533,"journal":{"name":"Composites Communications","volume":"62 ","pages":"Article 102708"},"PeriodicalIF":7.7000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composites Communications","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452213926000112","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}

引用次数: 0

Abstract

Needled carbon/silicon carbide (C/SiC) composites are widely used in the field of aerospace. However, reducing porosity and enhancing mechanical properties remain critical challenges. To address these challenges, this paper investigates the bending damage behavior and failure mechanisms of spreading fabric/felt needled C/SiC laminated composites (SFNPCS). Three kinds of SFNPCS, SFNP-15Gs (needle depth: 15 mm, hook type: G), SFNP-15Fs (needle depth: 15 mm, hook type: F), and SFNP-11Gs (needle depth: 11 mm, hook type: G), were innovatively designed and prepared. Then, a deep learning–based yarn segmentation method was employed to achieve a reconstruction of the meso-scale model of SFNPCS. Finally, the bending properties and progressive damage behavior of SFNPCS were investigated through a combined experimental and numerical approach. The results demonstrated that the densification efficiencies of SFNP-15Gs, SFNP-15Fs, and SFNP-11Gs are 572.58 %, 566.87 %, and 552.80 %, respectively, with SFNP-15Gs achieving 1.5 % and 3.6 % higher efficiency than SFNP-15Fs and SFNP-11Gs due to its G-type needles, increased fiber coverage, and deeper needling. SFNP-15Gs also exhibits the highest bending strength (162.63 MPa), 6.20 % and 18.06 % higher than SFNP-15Fs and SFNP-11Gs, respectively. The primary failure mechanisms of SFNPCS include matrix fracture, fiber pull-out, interface debonding, and varying degrees of delamination.

查看原文本刊更多论文

基于深度学习的铺布/毡针C/SiC层合复合材料细观重构及弯曲破坏机制

针状碳/碳化硅（C/SiC）复合材料在航空航天领域有着广泛的应用。然而，降低孔隙率和提高机械性能仍然是关键的挑战。为了解决这些问题，本文研究了铺展织物/毛毡针刺C/SiC层压复合材料（SFNPCS）的弯曲损伤行为和破坏机制。创新设计并制备了SFNP-15Gs（针深15mm，钩型：G）、SFNP-15Fs（针深15mm，钩型：F）和SFNP-11Gs（针深11mm，钩型：G）三种sfnpc。然后，采用基于深度学习的纱线分割方法实现SFNPCS的中尺度模型重建。最后，采用实验与数值相结合的方法研究了SFNPCS的弯曲性能和渐进损伤行为。结果表明，SFNP-15Gs、SFNP-15Fs和SFNP-11Gs的致密化效率分别为572.58%、566.87%和552.80%，其中SFNP-15Gs由于采用了g型针刺，增加了纤维覆盖率，针刺深度更深，比SFNP-15Fs和SFNP-11Gs的致密化效率分别提高了1.5%和3.6%。SFNP-15Gs的抗弯强度最高（162.63 MPa），分别比SFNP-15Fs和SFNP-11Gs高6.20%和18.06%。SFNPCS的主要破坏机制包括基体断裂、纤维拔出、界面脱粘和不同程度的分层。

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分钟内获得全文求助全文

来源期刊

Composites Communications Materials Science-Ceramics and Composites

CiteScore

12.10

自引率

10.00%

发文量

340

审稿时长

36 days

期刊介绍： Composites Communications (Compos. Commun.) is a peer-reviewed journal publishing short communications and letters on the latest advances in composites science and technology. With a rapid review and publication process, its goal is to disseminate new knowledge promptly within the composites community. The journal welcomes manuscripts presenting creative concepts and new findings in design, state-of-the-art approaches in processing, synthesis, characterization, and mechanics modeling. In addition to traditional fiber-/particulate-reinforced engineering composites, it encourages submissions on composites with exceptional physical, mechanical, and fracture properties, as well as those with unique functions and significant application potential. This includes biomimetic and bio-inspired composites for biomedical applications, functional nano-composites for thermal management and energy applications, and composites designed for extreme service environments.