基于聚氨酯和改性碳化硅颗粒的智能复合材料的组成、结构和制备,具有可控特性和形状记忆效应动力学特性

IF 0.6 4区 化学 Q4 CHEMISTRY, APPLIED Russian Journal of Applied Chemistry Pub Date : 2024-05-21 DOI:10.1134/S1070427223090045
T. A. Shalygina, I. D. Simonov-Emelyanov
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引用次数: 0

摘要

摘要 以聚氨酯+改性碳化硅(SiC)颗粒为例,首次研究了各种结构类型的智能分散填充聚合物复合材料(DFPCMs)对形状记忆效应(SME)参数,如形状固定和恢复系数(Rf 和 Rr)以及以初始形状恢复速率(υr)为特征的 SME 动力学的影响。研究发现了形状固定和恢复系数(Rf 和 Rr)以及形状恢复速率(υr)与广义参数 Θ、DFPCM 结构类型和碳化硅颗粒表面形态之间的主要关系。研究首次证明了分散 SiC 颗粒(SBET 从 3 到 45 m2 g-1)的比表面积对分散系统智能特性的贡献。
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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Composition, Structures, and Preparation of Smart Composite Materials Based on Polyurethane and Modified Silicon Carbide Particles with Controllable Characteristics and Kinetics of the Shape Memory Effect

The influence of various structural types of smart dispersion-filled polymer composite materials (DFPCMs) on such shape-memory effect (SME) parameters as the shape fixation and recovery coefficients (Rf and Rr) and SME kinetics characterized by the rate of the initial shape recovery (υr) was studied for the first time, with the polyurethane + modified silicon carbide (SiC) particles as example. The main dependences describing the relationship of the shape fixation and recovery coefficients (Rf and Rr) and of the shape recovery rate (υr) with the generalized parameter Θ, DFPCM structural type, and surface morphology of SiC particles were found. The contribution of the specific surface area of dispersed SiC particles (SBET from 3 to 45 m2 g–1) to the smart properties of the disperse systems was demonstrated for the first time.

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来源期刊
CiteScore
1.60
自引率
11.10%
发文量
63
审稿时长
2-4 weeks
期刊介绍: Russian Journal of Applied Chemistry (Zhurnal prikladnoi khimii) was founded in 1928. It covers all application problems of modern chemistry, including the structure of inorganic and organic compounds, kinetics and mechanisms of chemical reactions, problems of chemical processes and apparatus, borderline problems of chemistry, and applied research.
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