Classification of Textile Polymer Composites: Recent Trends and Challenges

Polymers

Nesrine Amor¹  Michal Petru¹  Muhammad Tayyab Noman¹ 

[1] Department of Machinery Construction, Institute for Nanomaterials, Advanced Technologies and Innovation (CXI), Technical University of Liberec, 461 17 Liberec, Czech Republic;

关键词: classification;    fiber reinforced polymer composites;    artificial neural network;    fuzzy logic;    Sequential Monte Carlo methods;   

DOI  :  10.3390/polym13162592

来源: DOAJ

【 摘 要 】

Polymer based textile composites have gained much attention in recent years and gradually transformed the growth of industries especially automobiles, construction, aerospace and composites. The inclusion of natural polymeric fibres as reinforcement in carbon fibre reinforced composites manufacturing delineates an economic way, enhances their surface, structural and mechanical properties by providing better bonding conditions. Almost all textile-based products are associated with quality, price and consumer’s satisfaction. Therefore, classification of textiles products and fibre reinforced polymer composites is a challenging task. This paper focuses on the classification of various problems in textile processes and fibre reinforced polymer composites by artificial neural networks, genetic algorithm and fuzzy logic. Moreover, their limitations associated with state-of-the-art processes and some relatively new and sequential classification methods are also proposed and discussed in detail in this paper.

【 授权许可】

Unknown