用于生态友好型绿色复合材料的龙舌兰花纤维机械性能的威布尔统计和人工神经网络分析

IF 2.8 3区工程技术 Q1 MATERIALS SCIENCE, TEXTILES

Journal of Natural Fibers Pub Date : 2024-01-25 DOI:10.1080/15440478.2024.2305228

Imen Lalaymia, Ahmed Belaadi, Messaouda Boumaaza, Hassan Alshahrani, Mohammad K. A. Khan, Amar Dib

引用次数: 0

摘要

研究重点是考察龙舌兰花茎纤维（AAFS）的独特性能，尤其是其在准静态拉伸条件下的行为。研究共使用了 200 根龙舌兰花茎纤维。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Weibull Statistic and Artificial Neural Network Analysis of the Mechanical Performances of Fibers from the Flower Agave Plant for Eco-Friendly Green Composites

The research conducted focused on examining the unique properties of Agave Americana Flower Stem fiber (AAFS), particularly its behavior under quasi-static tensile conditions. A total of 200 AAFS f...

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来源期刊

Journal of Natural Fibers MATERIALS SCIENCE, TEXTILES-

CiteScore

6.20

自引率

22.90%

发文量

419

审稿时长

>12 weeks

期刊介绍： The Journal of Natural Fibers presents new achievements in basic research and the development of multi-purpose applications that further the economical and ecological production of hard fibers, protein fibers, seed, bast, leaf, and cellulosic fibers. An international panel of academics, researchers, and practitioners examines new processing methods and techniques, new trends and economic aspects of processing natural raw materials, sustainable agriculture and eco-friendly techniques that address environmental concerns, the efficient assessment of the life cycle of natural fibers-based products, and the natural reclamation of polluted land.