SBIR Phase I: Development of Vorcat for Cloud-Based Simulations

SBIR 第一阶段：开发基于云的模拟 Vorcat

• 批准号: 1345444
• 负责人: jacob krispin
• 金额: $ 15万
• 依托单位: Vorcat, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1345444&HistoricalAwards=false
• 关键词: SBIR; Phase; Development; Vorcat; Cloud

This Small Business Innovation Research (SBIR) Phase I project will offer breakthrough Computational Fluid Dynamics (CFD) technology in a high-performance computing cloud environment. Looking towards eliminating the need for physical testing, it is now common practice in the energy, automotive, aerospace, chemical process industries, among many others, to use CFD to predict turbulent gas and liquid flows within and around solid objects. The new CFD approach pursued in this project has distinct advantages over both traditional RANS (Reynolds-Averaged Navier-Stokes) modeling, as well as currently-available Large Eddy Simulation (LES) technology, in efficiently capturing the physics of turbulence ? the single, most complicated phenomenon in fluid engineering. Specifically, the first application proposed here will solve one of the most complex fluid engineering problems, namely flows about rotating/moving bodies, which will undoubtedly advance current design capabilities for next generation energy, automotive and aerospace-related technologies. Moreover, by offering this innovative CFD software in a cloud application, this project will provide unique accuracy and reliability to a wide range of CFD users, including small and medium-sized businesses for which large scale computing in CFD has heretofore been too costly or technically difficult to pursue.The broader impact/commercial potential of this project is far reaching. The benefits to all segments of industry include cost & time savings in product development, better engineering, enhanced safety and the exploration of advanced concepts that are too difficult or dangerous for physical experiments. Since high-end CFD software requires access to High Performance Computing (HPC) systems and annual licenses are relatively expensive, small and medium size businesses seldom possess the expertise or resources to utilize them. This project harnesses the affordability of cloud computing by fostering diverse new applications that these companies can use to solve a vast array of practical flow problems dominated by turbulence, thereby leveling the playing field and promoting innovation. Although the focus is on energy and automotive applications that will be employed for validation and go-to-market purposes, flows of interest include those encountered in the development of wind/hydro turbines, ground vehicles, rotorcraft, wave and ocean current power generation devices and many other applications of direct relevance to a wide range of industries. Furthermore, development of this unique technology in a cloud will provide affordable opportunities for students and postdoctoral researchers to engage in the solution of complex scientific problems.

这个小型企业创新研究（SBIR）第一阶段项目将在高性能计算云环境中提供突破性的计算流体动力学（CFD）技术。为了消除对物理测试的需求，现在在能源，汽车，航空航天，化学加工行业等许多行业中，使用CFD来预测固体物体内部和周围的湍流气体和液体流动是常见的做法。新的CFD方法追求在这个项目中有明显的优势，传统的RANS（雷诺平均纳维尔-斯托克斯）建模，以及目前可用的大涡模拟（LES）技术，在有效地捕捉湍流的物理？流体工程中最复杂的现象具体而言，本文提出的第一个应用将解决最复杂的流体工程问题之一，即旋转/移动物体的流动，这无疑将提高当前下一代能源，汽车和航空航天相关技术的设计能力。此外，通过在云应用程序中提供这种创新的CFD软件，该项目将为广泛的CFD用户提供独特的准确性和可靠性，包括中小型企业，这些企业在CFD中的大规模计算迄今为止过于昂贵或技术上难以实现。该项目的广泛影响/商业潜力是深远的。对工业所有部门的好处包括节省产品开发的成本和时间，更好的工程设计，增强的安全性和探索对于物理实验来说太困难或危险的先进概念。由于高端CFD软件需要访问高性能计算（HPC）系统，并且年度许可证相对昂贵，因此中小型企业很少拥有使用它们的专业知识或资源。该项目利用云计算的可负担性，通过培养各种新的应用程序，这些公司可以用来解决大量的实际流动问题，主要是湍流，从而平整竞争环境，促进创新。虽然重点是能源和汽车应用，将用于验证和走向市场的目的，感兴趣的流包括那些在开发风力/水力涡轮机，地面车辆，旋翼飞机，波浪和洋流发电设备和许多其他应用中遇到的直接相关的广泛的行业。此外，在云中开发这种独特的技术将为学生和博士后研究人员提供负担得起的机会，参与解决复杂的科学问题。