4.8 Article

High-Strength, High-Barrier Bio-Based Polyester Nanocomposite Films by Binary Multiscale Boron Nitride Nanosheets

期刊

ADVANCED FUNCTIONAL MATERIALS
卷 -, 期 -, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202308631

关键词

binary multiscale interfaces; bio-based polyester composites; boron nitride nanosheets; high barrier; high strength

向作者/读者索取更多资源

This study focuses on the synthesis of binary multiscale boron nitride nanosheets (BNNSs) fillers by in situ growth of layered double hydroxide (LDH) on the BNNSs' surfaces. The LDH-BNNSs show superior dispersion and filler-matrix bonding, leading to improved performance in bio-based polyester composites.
\Owing to the inferior dispersibility of boron nitride nanosheets (BNNSs) and weak interfacial interaction with the matrix, the performance of BNNS-based composites is usually far below theoretically predicted values. Here, binary multiscale BNNSs (LDH-BNNSs) fillers are synthesized through in situ growth of layered double hydroxide (LDH) on the BNNSs' surfaces. LDH-BNNSs with a multiple mosaic interface show superior dispersion of nanosheets in matrix and extraordinary filler-matrix bonding. Density functional theory simulations reveal the stable dispersion mechanism of LDH-BNNSs. Moreover, the bio-based poly(ethylene furandicarboxylate) composites with 0.2 wt% LDH-BNNSs loading exhibit simultaneous improvements in tensile strength (approximate to 140 MPa), Young's modulus (approximate to 6.5 GPa), toughness (approximate to 2.0 MJ m(-3)), and gas barrier properties. Regulation of the interfacial structures of binary multiscale BNNSs significantly increases the filler utilization of the nanosheets, leading to extraordinary stress transfer efficiency and a physical shielding effect. Therefore, this simple, efficient, and novel strategy has promised in enhancing composite performance, and it provides a novel way to develop strong, tough, and high-barrier bio-based polyester composites.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据