I/UCRC: Penn State University Phase III: Center for e-Design

I/UCRC：宾夕法尼亚州立大学第三期：电子设计中心

• 批准号: 1650527
• 负责人: Daniel Finke
• 金额: $ 15万
• 依托单位: Pennsylvania State Univ University Park
• 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: 2017-03-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650527&HistoricalAwards=false
• 关键词: UCRC; Penn; State; University; Phase

The Center for e-Design (CED) is an NSF Industry/University Cooperative Research Center (IUCRC) that works with its member organizations to research and advance solutions to complex problems associated with the innovation, design, production, distribution, and sustainment of innovative and high quality products and systems, that minimize costs and are responsive to the rapidly changing marketplace. Concurrent design of products and supporting processes; improved integration and collaboration among people, tools, and information; process improvements; knowledge capture and reuse; and automated/assisted decision-making are just some of the strategies employed. The Center for e-Design has research sites in place at six universities (Iowa State University, the University of Massachusetts Amherst, the University of Buffalo, Brigham Young University, Oregon State University, and Wayne State University). This project adds The Pennsylvania State University (Penn State), a seventh university, to the research sites in the Center. Penn State brings expertise from a diverse interdisciplinary team of researchers from several departments, colleges, university centers and institutes. The primary contribution of the Penn State team will include the following areas: crowd-based design, big data analytics, design theory and innovation, collaborative design, design optimization, additive manufacturing, smart manufacturing, and model-based enterprise.The Center for e-Design's activities are organized around three major efforts which deliver value to its industry/government partners: 1) Fundamental Research focuses on creating tools, methods, and technologies to address industry relevant needs in e-tools-enabled product development and realization including enabling information infrastructure; conceptual design tools; multidisciplinary constraint management and optimization; and virtual prototyping and simulation; 2) Research Test Bed focuses on integration of interdisciplinary research activities to validate developed tools, methods, and technologies and establish a common framework for multiple applications while fostering collaboration between academic and industry research projects; and 3) Engineering Education and Technology Transfer, which focuses on educating a new cadre of engineers and scientists proficient in e-design and rapidly transferring research results into usable applications for industry and government.

电子设计中心 (CED) 是 NSF 工业/大学合作研究中心 (IUCRC)，与其成员组织合作，研究和推进与创新、设计、生产、分销和维持创新相关的复杂问题的解决方案。高质量的产品和系统，可最大限度地降低成本并响应快速变化的市场。 产品及配套流程的并行设计；改进人员、工具和信息之间的集成和协作；流程改进；知识获取和重用；自动化/辅助决策只是所采用的一些策略。电子设计中心在六所大学（爱荷华州立大学、马萨诸塞大学阿默斯特分校、布法罗大学、杨百翰大学、俄勒冈州立大学和韦恩州立大学）设有研究中心。该项目将第七所大学宾夕法尼亚州立大学（宾夕法尼亚州立大学）添加到该中心的研究地点。 宾夕法尼亚州立大学拥有来自多个院系、学院、大学中心和研究所的多元化跨学科研究人员团队的专业知识。 宾夕法尼亚州立大学团队的主要贡献将包括以下领域：基于人群的设计、大数据分析、设计理论和创新、协作设计、设计优化、增材制造、智能制造和基于模型的企业。 -Design 的活动围绕为其行业/政府合作伙伴创造价值的三项主要工作进行组织： 1) 基础研究侧重于创建工具、方法和技术，以满足电子工具支持的产品开发和实现（包括支持信息）中的行业相关需求基础设施;概念设计工具；多学科约束管理和优化；以及虚拟原型和仿真； 2）研究测试床侧重于跨学科研究活动的整合，以验证开发的工具、方法和技术，并为多种应用建立通用框架，同时促进学术和行业研究项目之间的合作； 3）工程教育和技术转让，重点是培养一批精通电子设计的新工程师和科学家队伍，并将研究成果迅速转化为工业和政府的可用应用。

项目成果

Democratizing digital design and manufacturing using high performance cloud computing: Performance evaluation and benchmarking

使用高性能云计算实现数字化设计和制造的民主化：性能评估和基准测试

• DOI: 10.1016/j.jmsy.2016.09.005
• 发表时间: 2017-04-01
• 期刊: Journal of Manufacturing Systems
• 影响因子: 12.1
• 作者: Dazhong Wu;Xi Liu;Steve Hebert;W. Gentzsch;J. Terpenny
• 通讯作者: J. Terpenny

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

智能制造机器学习算法的比较研究：使用随机森林进行刀具磨损预测

• DOI: 10.1115/1.4036350
• 发表时间: 2017-07-01
• 期刊: Journal of Manufacturing Science and Engineering-transactions of The Asme
• 影响因子: 4
• 作者: Dazhong Wu;Connor Jennings;J. Terpenny;R. Gao;S. Kumara
• 通讯作者: S. Kumara

Forecasting Obsolescence Risk Using Machine Learning

使用机器学习预测过时风险

• DOI: 10.1115/msec2016-8625
• 发表时间: 2016-06
• 期刊: ASME 2016 International Manufacturing Science and Engineering Conference MSEC2016
• 作者: Jennings, Connor;Wu, Dazhong;Terpenny, Janis
• 通讯作者: Terpenny, Janis

Digital design and manufacturing on the cloud: A review of software and services—RETRACTED

云上的数字设计和制造：软件和服务回顾——已撤回

• DOI: 10.1017/s0890060416000305
• 发表时间: 2017-02-01
• 期刊: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
• 作者: Dazhong Wu;J. Terpenny;D. Schaefer
• 通讯作者: D. Schaefer

Cybersecurity for digital manufacturing

数字化制造的网络安全

• DOI: 10.1016/j.jmsy.2018.03.006
• 发表时间: 2018-07-01
• 期刊: Journal of Manufacturing Systems
• 影响因子: 12.1
• 作者: Dazhong Wu;Anqi Ren;Wenhui Zhang;Feifei Fan;Peng Liu;Xinwen Fu;J. Terpenny
• 通讯作者: J. Terpenny