High-performance, multi-component epoxy resin simulation for predicting thermo-mechanical property evolution during curing

IF 2.3 4区 化学 Q3 POLYMER SCIENCE
Sagar Umesh Patil, Josh Kemppainen, Marianna Maiaru, Gregory M. Odegard
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引用次数: 0

Abstract

High-performance epoxy systems are extensively used in structural polymer‒matrix composites for aerospace vehicles. The evolution of the thermomechanical properties of these epoxies significantly impacts the evolution of process-induced residual stresses. The corresponding process parameters need to be optimized via multiscale process modeling to minimize the residual stresses and maximize the composite strength and durability. In this study, the thermomechanical properties of a multicomponent epoxy system are predicted via molecular dynamics (MD) simulation as a function of the degree of cure to provide critical property evolution data for process modeling. In addition, the experimentally validated results of this study provide critical insight into MD modeling protocols. Among these insights, harmonic- and Morse-bond-based force fields predict similar mechanical properties. However, simulations with the Morse-bond potential fail at intermediate strain values because of cross-term energy dominance. Additionally, crosslinking simulations should be conducted at the corresponding processing temperature, because the simulation temperature impacts shrinkage evolution significantly. Multiple analysis methods are utilized to process MD heating/cooling data for glass transition temperature prediction, and the results indicate that neither method has a significant advantage. These results are important for effective and comprehensive process modeling within the ICME (Integrated Computational Materials Engineering) and Materials Genome Initiative frameworks. Molecular dynamics simulations were utilized to model and predict thermomechanical properties of a multi-component high-performance epoxy. Virtual curing between the molecules is simulated using REACTER protocol in LAMMPS and LUNAR tool is utilized to assign force field parameters and post-processing of simulated data. Insights into the predicted properties using harmonic- and morse-bond-based force fields, strain-rate sensitivity, glass transition temperature predicted from heating and cooling simulations are provided. The comprehensive set of properties are predicted as a function of processing temperature and crosslinking density required for multi-scale process modeling high-performance epoxy.

Abstract Image

高性能、多组分环氧树脂在固化过程中热力学性能演变预测的模拟
高性能环氧树脂体系广泛应用于航天飞行器结构聚合物基复合材料。这些环氧树脂的热力学性能的演变显著影响着过程残余应力的演变。需要通过多尺度工艺建模优化相应的工艺参数,使残余应力最小化,使复合材料的强度和耐久性最大化。在这项研究中,通过分子动力学(MD)模拟来预测多组分环氧树脂体系的热力学性能,作为固化程度的函数,为过程建模提供关键的性能演变数据。此外,本研究的实验验证结果为MD建模协议提供了重要的见解。在这些见解中,谐波力场和莫尔斯键力场预测了相似的机械性能。然而,由于交叉项能量优势,使用莫尔斯键势的模拟在中间应变值处失败。此外,交联模拟应在相应的加工温度下进行,因为模拟温度对收缩演化有显著影响。利用多种分析方法对MD加热/冷却数据进行玻璃化转变温度预测,结果表明两种方法都没有明显的优势。这些结果对于在ICME(集成计算材料工程)和材料基因组计划框架内进行有效和全面的过程建模非常重要。采用分子动力学方法对一种多组分高性能环氧树脂的热力学性能进行了建模和预测。在LAMMPS中使用react协议模拟分子间的虚拟固化,并使用LUNAR工具分配力场参数并对模拟数据进行后处理。利用谐波和莫尔斯键力场、应变率灵敏度、加热和冷却模拟预测的玻璃化转变温度来预测材料的性能。预测了高性能环氧树脂的综合性能是多尺度工艺建模所需的加工温度和交联密度的函数。
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来源期刊
Polymer Journal
Polymer Journal 化学-高分子科学
CiteScore
5.60
自引率
7.10%
发文量
131
审稿时长
2.5 months
期刊介绍: Polymer Journal promotes research from all aspects of polymer science from anywhere in the world and aims to provide an integrated platform for scientific communication that assists the advancement of polymer science and related fields. The journal publishes Original Articles, Notes, Short Communications and Reviews. Subject areas and topics of particular interest within the journal''s scope include, but are not limited to, those listed below: Polymer synthesis and reactions Polymer structures Physical properties of polymers Polymer surface and interfaces Functional polymers Supramolecular polymers Self-assembled materials Biopolymers and bio-related polymer materials Polymer engineering.
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