Influence of multiwall carbon nanotubes and styrene acrylic acid on morphology and thermal properties relationship of 80/20 PA6/ABS blends

IF 2.1 4区材料科学 Q3 MATERIALS SCIENCE, COMPOSITES

Plastics, Rubber and Composites Pub Date : 2022-01-12 DOI:10.1080/14658011.2021.2024645

B. Jogi

引用次数: 1

Abstract

ABSTRACT Polyamide-6 (PA6), acrylonitrile-butadiene-styrene (ABS), and its blends with compatibiliser (styrene acrylic acid: SAA, multiwall carbon nanotubes: MWNT, and a combination of MWNT and SAA, respectively) have been investigated. It was found that compatibiliser SAA, MWNT, and the combination of MWNT and SAA help refine the morphology. It includes the decrease in the diameter of the droplets, decreases in interparticle ligament thickness (IPDC), and increase in interfacial area per unit volume (Ai) of the dispersed phase (ABS) in the PA6 matrix. In addition, the morphology crystallinity and thermal stability correlations reveal the behaviour of the blend. Crystallinity and thermal stability of combinations will be maximum when the droplet diameter and critical inter-particle distance must be minimum and interfacial area per unit volume must be foremost.

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多壁碳纳米管和苯乙烯丙烯酸对80/20 PA6/ABS共混物形貌和热性能关系的影响

摘要:研究了聚酰胺-6 (PA6)、丙烯腈-丁二烯-苯乙烯(ABS)及其与增容剂(苯乙烯-丙烯酸:SAA、多壁碳纳米管:MWNT、MWNT和SAA的组合)共混物。结果表明，增容剂SAA、MWNT以及MWNT和SAA的复合均有助于改善形貌。表现为液滴直径减小，颗粒间韧带厚度(IPDC)减小，分散相(ABS)单位体积界面面积(Ai)增大。此外，形貌结晶度和热稳定性的相关性揭示了共混物的行为。当液滴直径和临界粒间距离最小，单位体积界面面积最大时，组合物的结晶度和热稳定性最大。

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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来源期刊

Plastics, Rubber and Composites 工程技术-材料科学：复合

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

4 months

期刊介绍： Plastics, Rubber and Composites: Macromolecular Engineering provides an international forum for the publication of original, peer-reviewed research on the macromolecular engineering of polymeric and related materials and polymer matrix composites. Modern polymer processing is increasingly focused on macromolecular engineering: the manipulation of structure at the molecular scale to control properties and fitness for purpose of the final component. Intimately linked to this are the objectives of predicting properties in the context of an optimised design and of establishing robust processing routes and process control systems allowing the desired properties to be achieved reliably.