Additive Manufacturing of Controlled Anisotropic Materials via Electrically Assisted Nanocomposite Fabrication
通过电辅助纳米复合材料制造受控各向异性材料的增材制造
基本信息
- 批准号:1663663
- 负责人:
- 金额:$ 31.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-01 至 2021-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Additive manufacturing (AM) has emerged as a promising rapid manufacturing approach for a wide variety of industries. Current AM processes can fabricate a model with good control on its shape but not on its material properties. Most AM processes only enable the fabrication of structures with isotropic material properties (they are the same in all directions). This award supports fundamental research on a novel additive manufacturing process that can accurately create anisotropic material properties (properties that vary with direction). This is accomplished in a three-dimensional (3D) structure by dynamically controlling electric fields while fabricating each layer, which has the result of orienting the short fiber reinforcement (in the form of carbon nanotubes or metal flakes) in the polymer. The shape is achieved by changing the projection image for each layer. Hence, varying material properties can be achieved in the fabricated structure even when using a single type of nanocomposite. The research results will significantly expand the capability of AM processes to fabricate anisotropic materials with enhanced structural, thermal, and electric properties. Such capability will enable novel design and fabrication of impact resistant nanocomposites, thermo-metamaterials, and wearable sensors. The new manufacturing process will provide US companies with a competitive edge and can lead to innovations in aerospace, consumer electronics, defense, and medical industries. The research outcomes will be integrated into undergraduate/graduate course development, as well as outreach programs to increase minority participation.The research objective is to establish an electrically assisted mask-image-projection-based stereolithography (eMIP-SL) process that can build three-dimensional shapes using nanocomposites with controlled carbon nanotube (CNT) alignment for enhanced functional characteristics. Tasks on electrode design, nanocomposite preparation, CNT alignment control, and integration with projection-based stereolithography will be performed. The fundamental characteristic of the anisotropic mechanical/electrical/thermal properties of architectures with aligned carbon nanotubes will be studied including measuring the anisotropic mechanical properties, the electrical and thermal conductivities, and microstructure observation with optical/scanning electron microscopy. The fundamental mechanism for the anisotropic mechanical/electrical/thermal properties in the fabricated architectures will be studied as a function of the process parameters and resulting nano/microstructures. The research result will develop scientific and engineering knowledge on the eMIP-SL process for fabricating anisotropic multi-functional 3D structures using controlled properties of nanocomposites.
增材制造(AM)已成为各种行业的一种有前途的快速制造方法。目前的AM工艺可以制造一个模型,它的形状,但不是对它的材料属性具有良好的控制。大多数AM工艺只能制造具有各向同性材料特性的结构(它们在所有方向上都是相同的)。该奖项支持一种新型增材制造工艺的基础研究,该工艺可以准确地创建各向异性材料特性(随方向变化的特性)。这在三维(3D)结构中通过在制造每一层时动态控制电场来实现,其结果是使聚合物中的短纤维增强物(以碳纳米管或金属薄片的形式)定向。通过改变每层的投影图像来实现形状。因此,即使使用单一类型的纳米复合材料,也可以在制造的结构中实现不同的材料特性。研究结果将显着扩大AM工艺的能力,以制造具有增强的结构,热和电性能的各向异性材料。这种能力将使抗冲击纳米复合材料,热超材料和可穿戴传感器的新设计和制造成为可能。新的制造工艺将为美国公司提供竞争优势,并可能导致航空航天、消费电子、国防和医疗行业的创新。研究成果将被整合到本科/研究生课程的开发,以及推广计划,以提高少数民族的参与。研究目标是建立一个电辅助掩模图像投影为基础的立体光刻(eMIP-SL)过程中,可以建立三维形状使用纳米复合材料与控制碳纳米管(CNT)的对齐增强功能特性。将进行电极设计、纳米复合材料制备、CNT对准控制以及与基于投影的立体光刻集成的任务。本研究将探讨碳奈米管阵列结构之各向异性机械/电/热特性之基本特性,包括测量其各向异性机械特性、导电率与导热率,以及利用光学/扫描电子显微镜观察其微结构。在制造的架构中的各向异性的机械/电气/热性能的基本机制将作为一个函数的工艺参数和所得的纳米/微观结构进行研究。研究结果将开发eMIP-SL工艺的科学和工程知识,用于使用纳米复合材料的受控性能制造各向异性多功能3D结构。
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Challenges and Status on Design and Computation for Emerging Additive Manufacturing Technologies
- DOI:10.1115/1.4041913
- 发表时间:2019-06-01
- 期刊:
- 影响因子:3.1
- 作者:Leung, Yuen-Shan;Kwok, Tsz-Ho;Chen, Yong
- 通讯作者:Chen, Yong
Electrically assisted 3D printing of nacre-inspired structures with self-sensing capability
- DOI:10.1126/sciadv.aau9490
- 发表时间:2019-04-01
- 期刊:
- 影响因子:13.6
- 作者:Yang, Yang;Li, Xiangjia;Chen, Yong
- 通讯作者:Chen, Yong
Function-aware slicing using principal stress line for toolpath planning in additive manufacturing
- DOI:10.1016/j.jmapro.2021.02.050
- 发表时间:2021-03-13
- 期刊:
- 影响因子:6.2
- 作者:Sales, Eder;Kwok, Tsz-Ho;Chen, Yong
- 通讯作者:Chen, Yong
3D Printing of Flexible Liquid Sensor Based on Swelling Behavior of Hydrogel with Carbon Nanotubes
- DOI:10.1002/admt.201800476
- 发表时间:2019-02-01
- 期刊:
- 影响因子:6.8
- 作者:Li, Xiangjia;Yang, Yang;Chen, Yong
- 通讯作者:Chen, Yong
Stretchable Nanolayered Thermoelectric Energy Harvester on Complex and Dynamic Surfaces
- DOI:10.1021/acs.nanolett.0c01225
- 发表时间:2020-06-10
- 期刊:
- 影响因子:10.8
- 作者:Yang, Yang;Hu, Hongjie;Chen, Yong
- 通讯作者:Chen, Yong
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Yong Chen其他文献
Predictions for Central Lymph Node Metastasis of Papillary Thyroid Carcinoma via CNN-Based Fusion Modeling of Ultrasound Images
通过基于 CNN 的超声图像融合模型预测甲状腺乳头状癌中央淋巴结转移
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:1.9
- 作者:
Yong Chen;Yan;Z. Cai;Mian Jiang - 通讯作者:
Mian Jiang
Shock mitigation effects of cellular cladding on submersible hull subjected to deep underwater explosion
多孔包壳对深水下爆炸作用下潜水器的冲击缓解效果
- DOI:
10.1016/j.oceaneng.2016.03.037 - 发表时间:
2016-05 - 期刊:
- 影响因子:5
- 作者:
Caiyu Yin;Zeyu Jin;Yong Chen;Hongxing Hua - 通讯作者:
Hongxing Hua
Algorithm-level Feedback-controlled Adaptive data prefetcher: Accelerating data access for high-performance processors
算法级反馈控制自适应数据预取器:加速高性能处理器的数据访问
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:1.4
- 作者:
Yong Chen;Huaiyu Zhu;Hui Jin;Xian - 通讯作者:
Xian
Experimental investigation on the characteristics of maximum bubble size of subcooled flow boiling in narrow rectangular channel under different system pressure
不同系统压力下窄矩形通道过冷流沸腾最大气泡尺寸特性的实验研究
- DOI:
10.1016/j.ijheatmasstransfer.2021.121426 - 发表时间:
2021-09 - 期刊:
- 影响因子:5.2
- 作者:
Lin Zhang;Hanzhou Liu;Deqi Chen;Xiaowei Zhou;Yong Chen - 通讯作者:
Yong Chen
Determination of FCMC and SCMC and Speculation of Hexagonally Packed Rods Concentration and Palisade Layer Structure Concentration of SDBS and SDS by Ultraviolet-visible Spectrophotometry
紫外可见分光光度法测定FCMC和SCMC以及六方堆积棒浓度和SDBS和SDS栅栏层结构浓度的推测
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:1
- 作者:
Zhaoxi Huang;Fenghui Zhao;Min Liu;Yong Chen - 通讯作者:
Yong Chen
Yong Chen的其他文献
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{{ truncateString('Yong Chen', 18)}}的其他基金
Collaborative Research: Fusion of Siloed Data for Multistage Manufacturing Systems: Integrative Product Quality and Machine Health Management
协作研究:多级制造系统的孤立数据融合:集成产品质量和机器健康管理
- 批准号:
2323084 - 财政年份:2024
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
Conference: 2024 Manufacturing Science and Engineering Conference and 52nd North American Manufacturing Research Conference; Knoxville, Tennessee; 17-21 June 2024
会议:2024年制造科学与工程会议暨第52届北美制造研究会议;
- 批准号:
2344983 - 财政年份:2023
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
Quantum Many-Body Physics in Spin-Orbit Coupled Bose Gases
自旋轨道耦合玻色气体中的量子多体物理
- 批准号:
2012185 - 财政年份:2020
- 资助金额:
$ 31.58万 - 项目类别:
Continuing Grant
Phase-II IUCRC Texas Tech University: Center for Cloud and Autonomic Computing
第二阶段 IUCRC 德克萨斯理工大学:云和自主计算中心
- 批准号:
1939140 - 财政年份:2020
- 资助金额:
$ 31.58万 - 项目类别:
Continuing Grant
Collaborative Research: CESER: EAGER: "FabWave" - A Pilot Manufacturing Cyberinfrastructure for Shareable Access to Information Rich Product Manufacturing Data
合作研究:CESER:EAGER:“FabWave”——用于共享访问信息丰富的产品制造数据的试点制造网络基础设施
- 批准号:
1812675 - 财政年份:2018
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
CSR: Small: Collaborative Research: Tuning Extreme-scale Storage Stack through Deep Reinforcement Learning
CSR:小型:协作研究:通过深度强化学习调整超大规模存储堆栈
- 批准号:
1817094 - 财政年份:2018
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
Elements:Software:NSCI: Empowering Data-driven Discovery with a Provenance Collection, Management, and Analysis Software Infrastructure
元素:软件:NSCI:通过来源收集、管理和分析软件基础设施支持数据驱动的发现
- 批准号:
1835892 - 财政年份:2018
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
Collaborative Research: Strain Based Devices for Switches and Memory Applications
合作研究:用于开关和存储器应用的基于应变的器件
- 批准号:
1711332 - 财政年份:2017
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: Uncovering Vulnerabilities in Parallel File Systems for Reliable High Performance Computing
SHF:小型:协作研究:发现并行文件系统中的漏洞以实现可靠的高性能计算
- 批准号:
1718336 - 财政年份:2017
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
Dynamics and Excitations of Spin-Orbit-Coupled Bose-Einstein Condensates
自旋轨道耦合玻色-爱因斯坦凝聚体的动力学和激发
- 批准号:
1708134 - 财政年份:2017
- 资助金额:
$ 31.58万 - 项目类别:
Standard Grant
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