GOALI: Toward Super-Robust Geometric Computation for Complex Component Design
GOALI:面向复杂组件设计的超鲁棒几何计算
基本信息
- 批准号:0927397
- 负责人:
- 金额:$ 22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-07-01 至 2013-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this GOALI award is to develop theoretical foundations, algorithmic infrastructure, and computational framework for robust geometric computation required by complex component design. The new approach is based on a point representation, layer-depth normal image, by converting a continuous surface into a set of points. Layer-based additive manufacturing will be the primary target fabrication approach for the processed geometric forms in this project. Key research activities will include: (1) investigating a point-based geometric computation theory and related techniques for improving its robustness; (2) developing a set of point-based geometric operations and related computational approaches that are effective and efficient; (3) investigating a parallel computing strategy and related algorithms for point-based geometric operations; and (4) verifying the developed prototype software by using aerospace and biomedical test cases. By working closely with an industrial partner, the research will result in prototype software for designing complex product components and a library of geometric operations and test cases that will be publicly available from a project website.If successful, the results of this research will provide an opportunity to create a component design with dramatically more complex shapes for achieving better performance such as multi-functionality and the minimum usage of material and energy. Example applications include bioengineering, aerospace, and tooling. Such complex shape design could also bring about a transformational breakthrough to the applications of direct digital manufacturing, which can be a disruptive manufacturing technology. This work will also enhance the infrastructure for research and education by building software systems, teaching materials, lab projects, and case studies. 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 real world applications will increase domestic students' interest in science and engineering and, therefore, strengthen our competitiveness in the global workforce.
该奖项的研究目标是为复杂部件设计所需的稳健几何计算开发理论基础、算法基础和计算框架。新方法基于点表示,通过将连续曲面转换为一组点来表示层深度法线图像。基于层的加法制造将是本项目中加工几何形状的主要目标制造方法。主要的研究活动包括:(1)研究基于点的几何计算理论和相关技术,以提高其健壮性;(2)开发一套有效和高效的基于点的几何运算和相关计算方法;(3)研究基于点的几何运算的并行计算策略和相关算法;(4)通过航空航天和生物医学测试案例验证所开发的原型软件。通过与工业合作伙伴的密切合作,这项研究将产生用于设计复杂产品组件的原型软件,以及将从项目网站公开获得的几何操作和测试用例的库。如果成功,这项研究的结果将提供一个机会,以创建具有显著更复杂的形状的组件设计,以实现更好的性能,如多功能和最低材料和能源的使用。应用实例包括生物工程、航空航天和工具。这种复杂的形状设计也可能给直接数字制造的应用带来革命性的突破,直接数字制造可能是一种颠覆性的制造技术。这项工作还将通过构建软件系统、教材、实验室项目和案例研究来加强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从课堂教学和参与研究中受益。将利用面向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真实世界的应用程序将提高国内学生对科学和工程的兴趣,从而增强我们在全球劳动力市场的竞争力。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 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:
$ 22万 - 项目类别:
Standard Grant
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