Synergistic effects of graphene nanoplatelets and carbon nanofibers on thermomechanical fatigue response of modified glass/epoxy composites

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Jafar Amraei , Tomasz Rogala , Andrzej Katunin , Izabela Barszczewska-Rybarek , João M. Parente , Paulo N.B. Reis
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Abstract

This study explored the synergistic role of graphene nanoplatelets (GNPs) and carbon nanofibers (CNFs) on the thermomechanical fatigue performance of modified glass fiber-reinforced polymer (GFRP). Three composite materials were investigated including unmodified GFRP, GFRP modified with GNPs (0.75 wt% GNPs), and GFRP modified with hybrid nano-reinforcements (0.375 + 0.375 wt% GNPs and CNFs). Their fatigue strengths were assessed using two thermography-based approaches (i.e. ΔTσ, and q̇-σ), with the minimum curvature radius (MCR) and maximum perpendicular distance (MPD) procedures individually incorporated into each approach. The results extracted from thermographic approaches highlighted the negative influence of GNPs on fatigue strength, while HNPs contributed to fatigue strength improvement. The S-N curves were constructed as a reference to assess the reliability of fatigue strengths derived from thermographic approaches. Unlike the MCR, incorporating MPD analysis into ΔTσ and q̇-σ approaches demonstrated good alignment with fatigue strength values derived from S-N curves. Nevertheless, the introduced MPD-based q̇-σ approach provided a more reliable strategy for assessing the fatigue strengths of these composites. Moreover, the S-N curve analysis, supported by thermal responses and microscopic observations, illustrated that while GNPs enhanced the low-cycle fatigue performance, incorporating HNPs notably improved the life of modified GFRP composite across both low- and high-cycle regimes.
石墨烯纳米片和纳米碳纤维对改性玻璃/环氧复合材料热-机械疲劳响应的协同效应
本研究探讨了石墨烯纳米片(GNPs)和碳纳米纤维(CNFs)对改性玻璃纤维增强聚合物(GFRP)热疲劳性能的协同作用。研究了未改性GFRP、GNPs改性GFRP (0.75 wt% GNPs)和复合纳米增强GFRP (0.375 + 0.375 wt% GNPs和CNFs)三种复合材料。使用两种基于热成像的方法(即ΔT -σ和q³-σ)评估其疲劳强度,并将最小曲率半径(MCR)和最大垂直距离(MPD)程序分别纳入每种方法中。从热成像方法中提取的结果突出了GNPs对疲劳强度的负面影响,而HNPs有助于疲劳强度的提高。构建了S-N曲线,作为评估热成像方法得出的疲劳强度可靠性的参考。与MCR不同的是,将MPD分析纳入ΔT -σ和q³-σ方法表明,从S-N曲线得出的疲劳强度值与MPD分析很好地吻合。然而,引入的基于mpd的q ω -σ方法为评估这些复合材料的疲劳强度提供了更可靠的策略。此外,热响应和微观观察支持的S-N曲线分析表明,虽然GNPs提高了低周疲劳性能,但加入HNPs显著提高了改性GFRP复合材料在低周和高周的寿命。
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
期刊介绍: Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.
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