考虑界面效应,开发基于形态学的二元不相溶聚合物共混物机械性能预测模型。

IF 4.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Reports Pub Date : 2025-02-28 DOI:10.1038/s41598-025-90421-5
Nima Arjomand, Mahboube Mohamadi, Javad Alizadeh Kaklar
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引用次数: 0

摘要

本研究旨在开发一种基于形态学的模型,用于预测具有相分离结构的聚合物共混物的杨氏模量和拉伸强度。分析模型采用几何方法的结状和互连骨架结构(KISS)模型,考虑了不混相聚合物共混物的形态变化和组分的渗透阈值。聚合物/聚合物界面对力学性能的影响是通过假设在各种形态状态上具有特定厚度的薄界面层来解释的。利用现有文献中iPP/PA、PP/PET和LDPE/PP聚合物共混物的实验数据,对该模型的预测能力进行了评估。结果表明,预测数据与观测数据具有较好的一致性。该模型的预测结果还与非混相聚合物共混物的抗拉强度和杨氏模量的现有模型进行了比较,证明了其有效性。将界面区域纳入力学性能建模过程是所提出模型的一个关键特征,增强了其与聚合物共混物实际微观结构的相容性。此外,该模型依赖于相对简单的数学计算,这体现了另一个关键优势。
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Development of a morphological-based predictive model for mechanical properties of binary immiscible polymer blends considering interfacial effects.

This study aimed to develop a morphological-based model for predicting the Young's modulus and tensile strength of polymer blends with phase-separated structures. The analytical model employed the geometrical approach of the knotted and interconnected skeleton structural (KISS) model, incorporating morphological variation of immiscible polymer blends and the percolation thresholds of the components. The effect of the polymer/polymer interface on mechanical properties was accounted for by assuming a thin interfacial layer of specific thickness across the various morphological states. The prediction capability of the proposed model was evaluated using experimental data for iPP/PA, PP/PET, and LDPE/PP polymer blends, sourced from existing literature. The results established a reasonable accordance between the predicted and observed data. The model's predictions were also compared with those of established models for the tensile strength and Young's modulus of immiscible polymer blends, demonstrating its validity. Incorporating the interfacial region in the modeling procedure of mechanical properties represents a key distinguishing feature of the proposed model, enhancing its compatibility with the actual microstructure of polymer blends. Furthermore, the model's reliance on relatively simple mathematical calculations presents another crucial advantage.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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