GOALI: Novel Piezoelectric Device Fabrication Using Digital Projection based Additive Manufacturing
GOALI:使用基于数字投影的增材制造制造新型压电器件
基本信息
- 批准号:1335476
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2017-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) award is to solicit fundamental knowledge and understanding in fabricating piezoelectric devices with controlled shape and functional characteristics in order to develop an innovative and cost-effective additive manufacturing process for the nation's biomedical imaging industry. In the planned research, both the green-part fabrication for desired accuracy and resolution and the heat treatment procedure for required piezoelectric properties will be studied. The process modeling and related controlling methods will be established for the piezo-composite based additive manufacturing process. The effects of the addition of Sol-Gel solutions and related heat treatment procedures will be evaluated to understand their relations to piezoelectric properties. The property measurement and experimental validation will be performed with industrial partners to verify the capability of the additive manufacturing process. Novel piezoelectric devices used in electronics, photonics, sensors and actuators require more complex shapes and better precision for improved performance. Research results of this GOALI award will provide knowledge and understanding to meet the critical need of improved accuracy and resolution control as well as the densification control in the piezo-composite based additive manufacturing process for piezoelectric device fabrication. A globally competitive biomedical imaging industry will contribute to the nation's economy and healthcare, and new piezoelectric devices with better quality and lower manufacturing cost will benefit consumers and the society. The project will also enhance the infrastructure for ultrasonic imaging research and education at the University of Southern California by providing a digital fabrication method with increased shape flexibility. Graduate and undergraduate engineering students and mid-career professionals will benefit through classroom instruction and involvement in the research. Outreach programs to high school students will be utilized to increase minority participation. The designed hands-on learning experience and exposure to advanced manufacturing applications will increase the interest of domestic students in science and engineering.
该学术与工业联络机会 (GOALI) 奖的研究目标是征求制造具有受控形状和功能特性的压电器件的基础知识和理解,以便为国家生物医学成像行业开发创新且具有成本效益的增材制造工艺。在计划的研究中,将研究所需精度和分辨率的生坯制造以及所需压电特性的热处理程序。将为基于压电复合材料的增材制造过程建立过程建模和相关控制方法。将评估添加溶胶-凝胶溶液和相关热处理程序的效果,以了解它们与压电特性的关系。将与工业合作伙伴一起进行性能测量和实验验证,以验证增材制造工艺的能力。 用于电子、光子学、传感器和执行器的新型压电器件需要更复杂的形状和更高的精度来提高性能。该 GOALI 奖项的研究成果将提供知识和理解,以满足压电器件制造中基于压电复合材料的增材制造工艺中提高精度和分辨率控制以及致密化控制的关键需求。具有全球竞争力的生物医学成像产业将为国家经济和医疗保健做出贡献,质量更好、制造成本更低的新型压电器件将惠及消费者和社会。该项目还将通过提供具有更高形状灵活性的数字制造方法来增强南加州大学超声成像研究和教育的基础设施。工程专业的研究生和本科生以及职业生涯中期的专业人士将通过课堂教学和参与研究而受益。将利用针对高中生的外展计划来增加少数族裔的参与。设计的实践学习体验和接触先进制造应用将提高国内学生对科学和工程的兴趣。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
3D printing of hydroxyapatite/tricalcium phosphate scaffold with hierarchical porous structure for bone regeneration
- DOI:10.1007/s42242-019-00056-5
- 发表时间:2020-03-01
- 期刊:
- 影响因子:7.9
- 作者:Li, Xiangjia;Yuan, Yuan;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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 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:
$ 30万 - 项目类别:
Standard Grant
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
- 批准号:
1663663 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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