Preparation and electrochemical dynamics simulation of cellulose-based composite films with different hierarchical structures applied in supercapacitors

IF 4.8 2区 工程技术 Q1 MATERIALS SCIENCE, PAPER & WOOD Cellulose Pub Date : 2025-01-25 DOI:10.1007/s10570-025-06383-4
Chuanyin Xiong, Bo Wang, Yong Yin, Juntao Song, Zhao Zhang, Dongping Li, Qiusheng Zhou, Mengxia Shen, Yonghao Ni
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Abstract

As is well known, pore structure has a significant impact on the storage and transport behavior of electrolyte ions. Cellulose nanofibers (CNFs), a green biomass material, not only have good processability and flexibility, but can also be used to design and construct membrane materials with rich pore structures. It has broad application prospects in the field of flexible energy storage and has received widespread attention from researchers. However, there is still limited research on the precise design and regulation of pore structures in CNF-based composites with different pore structures, as well as their impact mechanisms on electrolyte ion storage and transport behavior. In this study, five different hierarchical structures were set up based on CNF-loaded reduced graphene oxide (CNF@RGO) composite films that were fabricated by using different lengths of CNFs as the substrate by sequential alternating filtration method. Furthermore, COMSOL Multiphysics was used for simulation and prediction to study the influence of different pore structures on their capacitance. Finally, further verification will be conducted through experiments. The simulation and experimental results show that when the internal pore structure is distributed in the order of large, small, and large pore sizes from the outside to the inside, the CNF@RGO composite material can obtain a larger area specific capacitance of 29.7 Mf cm−2 and a higher energy density of 14.8 mWh cm−2. As a whole, this research provides a reference direction for designing and constructing electrode materials with different pore structure combinations in the future to improve the energy storage performance of energy storage devices or electrode materials.

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超级电容器中不同层次结构纤维素基复合膜的制备及电化学动力学模拟
众所周知,孔隙结构对电解质离子的储存和传输行为有重要影响。纤维素纳米纤维(CNFs)是一种绿色生物质材料,不仅具有良好的可加工性和柔韧性,而且可用于设计和构建具有丰富孔隙结构的膜材料。在柔性储能领域具有广阔的应用前景,受到了研究人员的广泛关注。然而,对于不同孔结构的cnf基复合材料的孔结构的精确设计和调控,以及其对电解质离子储存和传输行为的影响机制的研究仍然有限。在本研究中,采用不同长度的cnf作为衬底,采用顺序交替过滤的方法制备了cnf负载的还原氧化石墨烯(CNF@RGO)复合膜,建立了五种不同的层次结构。利用COMSOL Multiphysics进行模拟和预测,研究不同孔隙结构对其电容的影响。最后通过实验进行进一步验证。仿真和实验结果表明,当内部孔隙结构由外向内依次为大、小、大孔径时,CNF@RGO复合材料可获得较大的面积比电容29.7 Mf cm−2和较高的能量密度14.8 mWh cm−2。总体而言,本研究为未来设计和构建不同孔隙结构组合的电极材料,以提高储能器件或电极材料的储能性能提供了参考方向。
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来源期刊
Cellulose
Cellulose 工程技术-材料科学:纺织
CiteScore
10.10
自引率
10.50%
发文量
580
审稿时长
3-8 weeks
期刊介绍: Cellulose is an international journal devoted to the dissemination of research and scientific and technological progress in the field of cellulose and related naturally occurring polymers. The journal is concerned with the pure and applied science of cellulose and related materials, and also with the development of relevant new technologies. This includes the chemistry, biochemistry, physics and materials science of cellulose and its sources, including wood and other biomass resources, and their derivatives. Coverage extends to the conversion of these polymers and resources into manufactured goods, such as pulp, paper, textiles, and manufactured as well natural fibers, and to the chemistry of materials used in their processing. Cellulose publishes review articles, research papers, and technical notes.
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