Highly Thermally Conductive and Mechanically Strong Graphene Fibers: From Molecular Orientation to Macroscopic Ordering
高导热性和机械强度的石墨烯纤维:从分子取向到宏观有序
基本信息
- 批准号:1742806
- 负责人:
- 金额:$ 38.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-15 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
NON-TECHNICAL DESCRIPTION: A new type of carbon fibers assembled from two-dimensional graphene sheets was recently developed with higher thermal conductivity, but with inferior mechanical properties in comparison to conventional carbon fibers. The internal structure of the graphene fibers is not well characterized and the concomitant impact on thermal-mechanical properties are not fully understood. This project targets fundamental understanding of the inner fiber structure with a focus on molecular orientation and macroscopic ordering and establishing the process-structure-property correlation. These insights may enable the development of high performance graphene fibers and unlock their potential for technology applications, e.g., as structural components in fiber-reinforced composites. New fiber structures and properties, cost-effective and environmentally-benign production, and workforce development are critical for competitiveness in innovation and manufacturing in carbon fiber industries. This project engages high-school, undergraduate and graduate students in research. Special efforts are made to involve underrepresented groups of high-school students through collaborations with local communities and academic outreach activities (including Summer@Rensselaer).TECHNICAL DETAILS: The proposed project is based on the conventional wisdoms for carbon fibers in which the fiber structure, particularly molecular orientation of graphene sheets, graphitic domains and their macroscopic ordering determine mechanical strength, Young's modulus, and thermal/electrical properties. To achieve a fundamental understanding of the fiber structure and establish the process-structure-property correlation, molecular orientation of the graphene oxide colloidal solution and the precursor graphene oxide fiber is investigated during fluid flow-assisted assembly. Macroscopic ordering of the graphene fibers is controlled by post fabrication carbonization and graphitization. Their impact on thermal-mechanical properties are being explored. By controlling the fluid flow-assisted assembly process and optimizing fiber structures, properties of the macroscopic graphene fibers can be dramatically improved. The microfluidics-enabled assembly of two-dimensional graphene sheets may enable new science for fabricating high performance carbon fibers.
非技术描述:最近开发了一种由二维石墨烯片组装而成的新型碳纤维,具有更高的导热率,但与传统碳纤维相比,机械性能较差。石墨烯纤维的内部结构尚未得到很好的表征,并且其对热机械性能的影响尚未完全了解。该项目的目标是对内部纤维结构的基本了解,重点是分子取向和宏观排序以及建立过程-结构-性能之间的关联。这些见解可能有助于开发高性能石墨烯纤维,并释放其技术应用潜力,例如作为纤维增强复合材料中的结构组件。新的纤维结构和性能、经济高效且环保的生产以及劳动力发展对于碳纤维行业创新和制造的竞争力至关重要。该项目吸引高中生、本科生和研究生参与研究。通过与当地社区的合作和学术推广活动(包括 Summer@Rensselaer),我们特别努力让代表性不足的高中生群体参与进来。技术细节:拟议的项目基于碳纤维的传统智慧,其中纤维结构、特别是石墨烯片的分子取向、石墨域及其宏观排序决定了机械强度、杨氏模量和热/电性能。为了对纤维结构有一个基本的了解并建立过程-结构-性能的相关性,在流体流动辅助组装过程中研究了氧化石墨烯胶体溶液和前体氧化石墨烯纤维的分子取向。石墨烯纤维的宏观有序性由后制造碳化和石墨化控制。正在探索它们对热机械性能的影响。通过控制流体流动辅助组装过程和优化纤维结构,可以显着改善宏观石墨烯纤维的性能。二维石墨烯片的微流体组装可能会为制造高性能碳纤维带来新的科学。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Alignment does matter: Design thick electrodes to improve the comprehensive lithium storage performance
- DOI:10.1016/j.carbon.2023.02.015
- 发表时间:2023-02
- 期刊:
- 影响因子:10.9
- 作者:Bo Nie;Mingxin Li;Tiankai Yao;Haoqing Yang;L. Duan;Juchen Zhang;Guoqing Xin;Tengxiao Liu-;Hongtao Sun;Jie Lian
- 通讯作者:Bo Nie;Mingxin Li;Tiankai Yao;Haoqing Yang;L. Duan;Juchen Zhang;Guoqing Xin;Tengxiao Liu-;Hongtao Sun;Jie Lian
Microstructure Dictating Performance: Assembly of Graphene-Based Macroscopic Structures
- DOI:10.1021/accountsmr.0c00053
- 发表时间:2021-01-22
- 期刊:
- 影响因子:14.6
- 作者:Li, Mingxin;Lian, Jie
- 通讯作者:Lian, Jie
Copper-Coated Reduced Graphene Oxide Fiber Mesh-Polymer Composite Films for Electromagnetic Interference Shielding
- DOI:10.1021/acsanm.0c00843
- 发表时间:2020-05
- 期刊:
- 影响因子:0
- 作者:Mingxin Li;Kun Yang;Weiguang Zhu;Junhua Shen;J. Rollinson;M. Hella;J. Lian
- 通讯作者:Mingxin Li;Kun Yang;Weiguang Zhu;Junhua Shen;J. Rollinson;M. Hella;J. Lian
Large-Area Uniaxial-Oriented Growth of Free-Standing Thin Films at the Liquid–Air Interface with Millimeter-Sized Grains
具有毫米级颗粒的液-气界面处大面积单轴定向生长的自支撑薄膜
- DOI:10.1021/acsnano.1c07662
- 发表时间:2022
- 期刊:
- 影响因子:17.1
- 作者:Zhu, Weiguang;Zhang, Yanming;Shen, Junhua;Shi, Yunfeng;Li, Mingxin;Lian, Jie
- 通讯作者:Lian, Jie
Kinetically Controlled Growth of Sub‐Millimeter 2D Cs 2 SnI 6 Nanosheets at the Liquid–Liquid Interface
亚毫米二维 Cs 2 SnI 6 纳米片在液-液界面处的动力学控制生长
- DOI:10.1002/smll.202006279
- 发表时间:2020
- 期刊:
- 影响因子:13.3
- 作者:Zhu, Weiguang;Shen, Junhua;Li, Mingxin;Yang, Kun;Bu, Wei;Sun, Yi‐Yang;Shi, Jian;Lian, Jie
- 通讯作者:Lian, Jie
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Jie Lian其他文献
Training and assignment of multi-skilled workers for implementing seru production systems
培训和分配多技能工人以实施血清生产系统
- DOI:
10.1007/s00170-013-5027-5 - 发表时间:
2013-06 - 期刊:
- 影响因子:3.4
- 作者:
WenJuan Li;Jie Lian;Steve Evans;Yong Yin - 通讯作者:
Yong Yin
「ポスト戦跡観光・帰郷」期における南サハリン観光をめぐるまなざしの交錯
“战后遗址旅游/回国”时期对南萨哈林岛旅游的交织观点
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Xuexin Xu;Liang Shi;Jinhui Chen;Xunquan Chen;Jie Lian;Pingyuan Lin;Zhihong Zhang;Edwin R. Hancock;平井健文 - 通讯作者:
平井健文
Efficient-Learning Grasping and Pushing in Dense Stacking via Mask Function and Pixel Overlap Rate
通过Mask函数和像素重叠率进行密集堆叠的高效学习抓取和推送
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jie Lian;Juncheng Jiang;Chaochao Qiu;Qinghui Pan;Yongxiang Dong;Zhao Wang;Dong Wang - 通讯作者:
Dong Wang
Bioinspired Plasmonic Nanosensor for on-Site Antimicrobial Susceptibility Testing in Urine Samples.
用于尿液样本现场抗菌敏感性测试的仿生等离子体纳米传感器。
- DOI:
10.1021/acsnano.2c08532 - 发表时间:
2022 - 期刊:
- 影响因子:17.1
- 作者:
Ruijia Huang;X. Cai;Jihui Du;Jie Lian;P. Hui;Minxuan Gu;Feng Li;Jidong Wang;Wenwen Chen - 通讯作者:
Wenwen Chen
FunnelCloud: a cloud-based system for exploring tornado events
FunnelCloud:用于探索龙卷风事件的基于云的系统
- DOI:
10.1080/17538947.2017.1279235 - 发表时间:
2017 - 期刊:
- 影响因子:5.1
- 作者:
Jie Lian;M. P. McGuire;Todd W. Moore - 通讯作者:
Todd W. Moore
Jie Lian的其他文献
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{{ truncateString('Jie Lian', 18)}}的其他基金
DMREF: Machine Learning Accelerated Design and Discovery of Rare-earth Phosphates as Next Generation Environmental Barrier Coatings
DMREF:机器学习加速设计和发现稀土磷酸盐作为下一代环境屏障涂层
- 批准号:
2119423 - 财政年份:2021
- 资助金额:
$ 38.78万 - 项目类别:
Standard Grant
Scalable Assembly of Flexible and Thermally Conductive Graphene Paper Macroscopic Structures for Effective Thermal Management in Electronic Devices
柔性导热石墨烯纸宏观结构的可扩展组装,用于电子设备中的有效热管理
- 批准号:
1463083 - 财政年份:2015
- 资助金额:
$ 38.78万 - 项目类别:
Standard Grant
CAREER: Radiation Interaction with Nanostructured Ceramics - Integrating Materials Research Into Nuclear Education
职业:辐射与纳米结构陶瓷的相互作用 - 将材料研究融入核教育
- 批准号:
1151028 - 财政年份:2012
- 资助金额:
$ 38.78万 - 项目类别:
Continuing Grant
Collaborative Research: Atomistic Mechanisms of Stabilizing Oxide Nanoparticles in Oxide-dispersion Strengthened Structural Materials
合作研究:氧化物弥散强化结构材料中氧化物纳米颗粒稳定的原子机制
- 批准号:
0906349 - 财政年份:2009
- 资助金额:
$ 38.78万 - 项目类别:
Continuing Grant
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