Numerical explorations of solvent borne adhesives: a lattice-based approach to morphology formation

IF 2.4 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Vì C. E. Kronberg, S. Muntean, N. Kröger, A. Muntean
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引用次数: 0

Abstract

The internal structure of adhesive tapes determines the effective mechanical properties. This holds true especially for blended systems, here consisting of acrylate and rubber phases. In this note, we propose a lattice-based model to study numerically the formation of internal morphologies within a four-component mixture (of discrete particles) where the solvent components evaporate. Mimicking numerically the interaction between rubber, acrylate, and two different types of solvents, relevant for the technology of adhesive tapes, we aim to obtain realistic distributions of rubber ball-shaped morphologies—they play a key role in the overall functionality of those special adhesives. Our model incorporates the evaporation of both solvents and allows for tuning the strength of two essentially different solvent–solute interactions and of the temperature of the system.
溶剂型胶粘剂的数值探索:一种基于晶格的形态形成方法
胶带的内部结构决定了胶带的有效力学性能。这尤其适用于由丙烯酸酯和橡胶相组成的混合体系。在本说明中,我们提出了一个基于晶格的模型,以数值研究溶剂组分蒸发的四组分混合物(离散颗粒)内内部形态的形成。通过数值模拟橡胶、丙烯酸酯和两种不同类型溶剂之间的相互作用,与胶带技术相关,我们旨在获得橡胶球形形态的真实分布——它们在这些特殊粘合剂的整体功能中起着关键作用。我们的模型结合了两种溶剂的蒸发,并允许调整两种基本不同的溶剂-溶质相互作用的强度和系统的温度。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
96
审稿时长
1.7 months
期刊介绍: Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation. Subject coverage: Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.
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