Collaborative Research: Software Engineering Workforce Development in High Performance Computing for Digital Twins

协作研究：数字孪生高性能计算中的软件工程劳动力开发

• 批准号: 1935628
• 负责人: Anthony Skjellum
• 金额: $ 5.76万
• 依托单位: University of Tennessee Chattanooga
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1935628&HistoricalAwards=false
• 关键词: Collaborative; Research; Software; Engineering; Workforce

This project will contribute to the national need for well-educated engineers and technicians in production engineering. It will do so by supporting two, two-day workshops on production engineering education by the University of Tennessee Chattanooga and Tennessee Technological University. The overall goal of the workshops is to recommend educational approaches for the rapidly expanding production technology of digital twin research and development. A digital twin is a virtual model of a process, product, or service. This pairing of virtual and physical worlds enables analysis and improvement of systems, including production engineering systems. For example, by developing new efficiencies first in the digital twin, and then testing them in the physical twin, processes and products can be improved. It is expected that these workshops will contribute to achieving scalable, reliable, and cost-effective strategies for creation of digital twins that accurately represent complex systems, such as manufacturing and chemical plants, airplanes, and wind turbines. The workshops will also contribute to developing guidelines for training the STEM workforce needed to develop and implement digital twins in production engineering and other applications. The first workshop will be held at the University of Tennessee Chattanooga and will result in a report describing the intellectual contributions of multiple disciplines to the use of digital twins in production engineering. The second workshop, to be held at Tennessee Technological University four months later, will result in a report describing curriculum recommendations for digital twin production engineering education.These workshops will convene thought leaders in high-performance computing, software engineering, uncertainty quantification, control system, digital twin modeling and simulation, and engineering education to develop recommendations for effective, innovative, distributed education related to digital twins, particularly in production engineering. In addition, they are expected to lead to convergent research projects at the intersection of educational research and the multidisciplinary areas needed to design, implement, and operate digital twins. At the workshops, these disciplines will come together to establish conceptual models for education that will prepare workers to design digital twins that better integrate with production engineering environments. Collaborations are expected to emerge between educators and domain experts, yielding outcomes such as the enhanced design of high-performance simulation and machine learning software systems that are both responsive to evolving needs of production environments and suitable for use in classroom and virtual environments.This project is funded by NSF's EHR Core Research: Production Engineering Education and Research (ECR: PEER) program, which seeks to improve the education of future and current professionals in production engineering. It also aims to study the effectiveness of the innovative educational strategies adopted by these projects.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将有助于国家生产工程中受过良好教育的工程师和技术人员的需求。 它将通过支持田纳西大学查塔努加大学和田纳西大学技术大学的两个为期两天的生产工程教育讲习班。 研讨会的总体目标是为迅速扩展的数字双胞胎研发生产技术推荐教育方法。 数字双胞胎是过程，产品或服务的虚拟模型。虚拟和物理世界的这种配对可以使系统（包括生产工程系统）的分析和改进。 例如，首先在数字双胞胎中开发新的效率，然后在物理双胞胎中测试它们，可以提高过程和产品。 预计这些研讨会将有助于实现可扩展，可靠且具有成本效益的策略来创建数字双胞胎，该策略准确地代表了复杂的系统，例如制造和化学工厂，飞机和风力涡轮机。 研讨会还将有助于制定培训开发和实施数字双胞胎在生产工程和其他应用程序中所需的STEM劳动力的准则。 第一个研讨会将在田纳西州查塔努加大学举行，并将导致一份报告描述多个学科对使用数字双胞胎在生产工程中使用的智力贡献。四个月后将在田纳西技术大学举行的第二个研讨会将导致一份报告描述数字双胞胎生产工程教育的课程建议。这些研讨会将在高性能计算，软件工程，不确定性量化，不确定性量化，不确定性，控制系统，数字模型模型和工程教育方面尤其针对有效的工程进行分配，对数字化的专门进行数字培训，对高性能的研究，不确定性量化，不确定性量化，不确定性量化，控制系统，数字化模型和工程教育。此外，预计他们将在教育研究的交汇处以及设计，实施和运营数字双胞胎所需的多学科领域。 在研讨会上，这些学科将汇聚在一起，建立教育概念模型，这将使​​工人准备好与生产工程环境更好地融合的数字双胞胎。 Collaborations are expected to emerge between educators and domain experts, yielding outcomes such as the enhanced design of high-performance simulation and machine learning software systems that are both responsive to evolving needs of production environments and suitable for use in classroom and virtual environments.This project is funded by NSF's EHR Core Research: Production Engineering Education and Research (ECR: PEER) program, which seeks to improve the education of future and current professionals in production 工程。它还旨在研究这些项目采用的创新教育策略的有效性。该奖项反映了NSF的法定使命，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来支持的。