Suppr超能文献

用于可持续工业应用的天然纤维增强聚合物复合材料(NFRPC)综述

A Review on Natural Fiber Reinforced Polymer Composites (NFRPC) for Sustainable Industrial Applications.

作者信息

Kamarudin Siti Hasnah, Mohd Basri Mohd Salahuddin, Rayung Marwah, Abu Falah, Ahmad So'bah, Norizan Mohd Nurazzi, Osman Syaiful, Sarifuddin Norshahida, Desa Mohd Shaiful Zaidi Mat, Abdullah Ummi Hani, Mohamed Amin Tawakkal Intan Syafinaz, Abdullah Luqman Chuah

机构信息

Department of Ecotechnology, School of Industrial Technology, Faculty of Applied Sciences, UiTM Shah Alam, Shah Alam 40450, Selangor, Malaysia.

Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.

出版信息

Polymers (Basel). 2022 Sep 5;14(17):3698. doi: 10.3390/polym14173698.

Abstract

The depletion of petroleum-based resources and the adverse environmental problems, such as pollution, have stimulated considerable interest in the development of environmentally sustainable materials, which are composed of natural fiber-reinforced polymer composites. These materials could be tailored for a broad range of sustainable industrial applications with new surface functionalities. However, there are several challenges and drawbacks, such as composites processing production and fiber/matrix adhesion, that need to be addressed and overcome. This review could provide an overview of the technological challenges, processing techniques, characterization, properties, and potential applications of NFRPC for sustainable industrial applications. Interestingly, a roadmap for NFRPC to move into Industry 4.0 was highlighted in this review.

摘要

石油基资源的枯竭以及污染等不利环境问题,激发了人们对开发环境可持续材料的浓厚兴趣,这些材料由天然纤维增强聚合物复合材料构成。这些材料可以通过新的表面功能,针对广泛的可持续工业应用进行定制。然而,存在一些挑战和缺点,如复合材料加工生产和纤维/基体粘结,需要加以解决和克服。本综述可为天然纤维增强聚合物复合材料用于可持续工业应用的技术挑战、加工技术、表征、性能及潜在应用提供概述。有趣的是,本综述强调了天然纤维增强聚合物复合材料迈向工业4.0的路线图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b324/9460194/29e5d39d6a65/polymers-14-03698-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验