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一种碳基环氧树脂的热机械和热电性能:实验、统计与数值研究

Thermo-Mechanical and Thermo-Electric Properties of a Carbon-Based Epoxy Resin: An Experimental, Statistical, and Numerical Investigation.

作者信息

Spinelli Giovanni, Guarini Rosella, Guadagno Liberata, Vertuccio Luigi, Romano Vittorio

机构信息

Faculty of Transport Sciences and Technologies, Università Telematica Giustino Fortunato, Via Raffaele Delcogliano 12, 82100 Benevento, Italy.

Institute of Mechanics, Bulgarian Academy of Sciences, Open Laboratory on Experimental Micro and Nano Mechanics (OLEM), Acad. G. Bonchev Str. Block 4, 1113 Sofia, Bulgaria.

出版信息

Materials (Basel). 2024 Jul 21;17(14):3596. doi: 10.3390/ma17143596.

DOI:10.3390/ma17143596
PMID:39063892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11278644/
Abstract

Due to their remarkable intrinsic physical properties, carbon nanotubes (CNTs) can enhance mechanical properties and confer electrical and thermal conductivity to polymers currently being investigated for use in advanced applications based on thermal management. An epoxy resin filled with varying concentrations of CNTs (up to 3 wt%) was produced and experimentally characterized. The electrical percolation curve identified the following two critical filler concentrations: 0.5 wt%, which is near the electrical percolation threshold (EPT) and suitable for exploring mechanical and piezoresistive properties, and 3 wt% for investigating thermo-electric properties due to the Joule effect with applied voltages ranging from 70 V to 200 V. Near the electrical percolation threshold (EPT), the CNT concentration in epoxy composites forms a sparse, sensitive network ideal for deformation sensing due to significant changes in electrical resistance under strain. Above the EPT, a denser CNT network enhances electrical and thermal conductivity, making it suitable for Joule heating applications. Numerical models were developed using multiphysics simulation software. Once the models have been validated with experimental data, as a perfect agreement is found between numerical and experimental results, a simulation study is performed to investigate additional physical properties of the composites. Furthermore, a statistical approach based on the design of experiments (DoE) was employed to examine the influence of certain thermal parameters on the final performance of the materials. The purpose of this research is to promote the use of contemporary statistical and computational techniques alongside experimental methods to enhance understanding of materials science. New materials can be identified through these integrated approaches, or existing ones can be more thoroughly examined.

摘要

由于其卓越的固有物理特性,碳纳米管(CNTs)可以增强机械性能,并赋予聚合物导电性和导热性,目前正在研究将其用于基于热管理的先进应用中。制备了填充有不同浓度碳纳米管(最高3 wt%)的环氧树脂,并进行了实验表征。电渗滤曲线确定了以下两个临界填料浓度:0.5 wt%,接近电渗滤阈值(EPT),适用于探索机械和压阻性能;3 wt%,用于研究在70 V至200 V的施加电压下由于焦耳效应产生的热电性能。在电渗滤阈值(EPT)附近,环氧复合材料中的碳纳米管浓度形成一个稀疏、灵敏的网络,由于应变下电阻的显著变化,该网络非常适合用于变形传感。在EPT以上,更密集的碳纳米管网络增强了导电性和导热性,使其适用于焦耳加热应用。使用多物理场模拟软件开发了数值模型。一旦模型通过实验数据进行了验证,由于在数值和实验结果之间发现了完美的一致性,便进行了模拟研究以探究复合材料的其他物理性能。此外,采用了基于实验设计(DoE)的统计方法来研究某些热参数对材料最终性能的影响。本研究的目的是促进将当代统计和计算技术与实验方法结合使用,以增进对材料科学的理解。通过这些综合方法可以识别新材料,或者可以更全面地研究现有材料。

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