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）是美国国家科学基金会（NSF）的一个产学研合作研究中心（IUCRC），它与成员组织一起研究和推进与创新、设计、生产、分销和维护创新和高质量产品和系统相关的复杂问题的解决方案，以最大限度地降低成本，并对快速变化的市场做出反应。产品及配套工艺的并行设计；改进人员、工具和信息之间的集成和协作；过程改进;知识获取和重用；自动化/辅助决策只是其中的一些策略。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）设有研究地点。该项目将第七所大学宾夕法尼亚州立大学（Penn State）加入该中心的研究地点。宾夕法尼亚州立大学带来了来自多个部门、学院、大学中心和研究所的跨学科研究人员的专业知识。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、设计理论与创新、协同设计、设计优化、增材制造、智能制造和基于模型的企业。电子设计中心的活动主要围绕三个方面来组织，为其行业/政府合作伙伴提供价值：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产品开发和实现的行业相关需求，包括启用信息基础设施；概念设计工具；多学科约束管理与优化；以及虚拟样机和仿真；2)研究试验台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，并建立多种应用的通用框架，同时促进学术和行业研究项目之间的协作；3)工程教育和技术转移，重点培养精通电子设计的新一代工程师和科学家，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

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

• DOI: 10.1016/j.jmsy.2017.02.011
• 发表时间: 2017-04
• 期刊: Journal of Manufacturing Systems
• 影响因子: 12.1
• 作者: Dazhong Wu;Shaopeng Liu;Li Zhang;J. Terpenny;R. Gao;T. Kurfess;J. A. Guzzo

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
• 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

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

• 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: Wu, Dazhong;Jennings, Connor;Kumara, Soundar
• 通讯作者: Kumara, Soundar

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

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

Cybersecurity for digital manufacturing

• DOI: 10.1016/j.jmsy.2018.03.006
• 发表时间: 2018-07
• 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