Barman Subrata, Gupta Kritesh Kumar, Dey Sudip
Department of Mechanical Engineering, National Institute of Technology Silchar, Silchar, India.
Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Sci Rep. 2025 Jul 10;15(1):24984. doi: 10.1038/s41598-025-06470-3.
Designing lightweight structural materials often drives the research community to explore high-strength nanomaterials as reinforcement agents. These reinforcements hold significant potential to enhance functional properties while substantially reducing weight. However, despite their promising role in material design, the underlying mechanisms behind their exceptional behaviour remain insufficiently understood. Motivated by this, the present study aims to elucidate the underlying mechanism that contributes to the improved mechanical performance of graphene (Gr)/carbon nanotube (CNT)-reinforced AlCoCrFeNi high-entropy alloys (HEAs) via molecular dynamics simulations. In this study, a series of atomistic models of CNT/graphene-reinforced high-entropy alloy (HEA) configurations (featuring progressively increased surface area of CNT/graphene reinforcements) were developed and mechanically characterized. The influence of reinforcement's shape and geometry on the mechanical performance of HEA composites is explained by observing the load distribution, dislocation analysis, deformation mechanism, and failure mechanism. The investigation revealed that using CNT-S4, which has the highest surface area among the CNT reinforcements, resulted in approximately a 30% increase in failure strength compared to the graphene-reinforced configuration (Gr-S4). The comparative analysis of the deformation mechanisms in the HEA-CNT S4 and HEA-Gr S4 configurations reveals notable differences in their plastic responses. While both models undergo plastic deformation during yielding, the HEA-CNT S4 model interestingly exhibits fewer and less intense shear bands, suggesting a delayed onset of plasticity. With increase in the surface area of the reinforcement, the specific strength (yield strength-to-density ratio) improved in both systems, with the S4 model reaching the highest values of 2673.03 kN m/kg for HEA-CNT and 2077.27 kN m/kg for HEA-Gr. This trend underscores the superior reinforcing efficiency of CNTs in enhancing the mechanical performance while minimizing the density (weight) of HEAs. Overall, this work highlights the critical role of the geometry and interfacial interaction of carbon-based reinforcements in optimizing the mechanical performance of HEA-based nanocomposites and provides valuable atomistic insights for the design of high-performance structural materials.
设计轻质结构材料常常促使研究界探索高强度纳米材料作为增强剂。这些增强剂在显著减轻重量的同时,具有增强功能特性的巨大潜力。然而,尽管它们在材料设计中发挥着有前景的作用,但其优异性能背后的潜在机制仍未得到充分理解。受此激励,本研究旨在通过分子动力学模拟阐明有助于改善石墨烯(Gr)/碳纳米管(CNT)增强的AlCoCrFeNi高熵合金(HEA)力学性能的潜在机制。在本研究中,开发了一系列碳纳米管/石墨烯增强高熵合金(HEA)构型的原子模型(其特征是碳纳米管/石墨烯增强剂的表面积逐渐增加)并进行了力学表征。通过观察载荷分布、位错分析、变形机制和失效机制,解释了增强剂的形状和几何结构对HEA复合材料力学性能的影响。研究表明,使用在碳纳米管增强剂中表面积最大的CNT-S4,与石墨烯增强构型(Gr-S4)相比,失效强度提高了约30%。对HEA-CNT S4和HEA-Gr S4构型中变形机制的对比分析揭示了它们塑性响应的显著差异。虽然两个模型在屈服时都发生塑性变形,但有趣的是,HEA-CNT S4模型表现出更少且强度更低的剪切带,表明塑性开始延迟。随着增强剂表面积的增加,两个系统的比强度(屈服强度与密度之比)均有所提高,S4模型在HEA-CNT中达到最高值2673.03 kN m/kg,在HEA-Gr中达到2077.27 kN m/kg。这一趋势突出了碳纳米管在增强力学性能同时最小化HEA密度(重量)方面的卓越增强效率。总体而言,这项工作突出了碳基增强剂的几何结构和界面相互作用在优化基于HEA的纳米复合材料力学性能方面的关键作用,并为高性能结构材料的设计提供了有价值的原子层面见解。