Optimizing interlaminar toughening of carbon-based filler/polymer nanocomposites by machine learning-Reference-Cited by-同舟云学术

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Optimizing interlaminar toughening of carbon-based filler/polymer nanocomposites by machine learning

Published:2023-11 Issue: Volume:128 Page:108222
ISSN:0142-9418
Container-title:Polymer Testing
language:en
Short-container-title:Polymer Testing

Author:

Han ChengLin,Zhao Hongxing,Yang Tianzhi,Liu Xueqing,Yu Mingchi,Wang Gong-Dong

Funder

Shenyang Aerospace University

National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences

Northeastern University

Publisher

Elsevier BV

Subject

Polymers and Plastics,Organic Chemistry

Reference51 articles.

1. Study on interlaminar performance of CNTs/epoxy film enhanced GFRP under low-temperature cycle;Han;Compos. Struct.,2021

2. Loading rate dependence of mode II fracture toughness in laminated composites reinforced by carbon nanotube films;Li;Compos. Sci. Technol.,2021

3. Enhancing the fracture toughness of laminated composites through carbon nanotube belt stitching;Li;Compos. Sci. Technol.,2021

4. Interlaminar toughening in carbon fiber/epoxy composites interleaved with CNT-decorated polycaprolactone nanofiber;Song;Compos. Commun.,2021

5. Influence of the modification with MWCNT on the interlaminar fracture properties of long carbon fiber composites;Mujika;Composites, Part B,2012

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