MRI: Development of Spatially-resolved spray scanning system (SSSS)

MRI：空间分辨喷雾扫描系统（SSSS）的开发

• 批准号: 1229506
• 负责人: Andre Marshall
• 金额: $ 37.69万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229506&HistoricalAwards=false
• 关键词: MRI; Development; Spatially; resolved; spray

Sprays are used in a variety of technology intensive industries from microelectronic manufacturing to fire-protection applications. Because of the complexity of the physical processes associated with atomizing a continuous stream of fluid into a spray and the difficulty associated with characterizing atomization details, spray formation and its relationship to injection conditions is poorly understood. As a result, spray related development is inhibited by analytical concessions, which rely primarily on "cut and try" and empirical approaches. However, as computer based design tools become increasingly popular, detailed atomization models will be needed for computer-aided development, analysis, and evaluation of spray devices and systems. It is essential to precisely characterize engineered sprays in order to develop models to describe their behavior and to leverage this understanding for advancements in spray technology. Building on existing instrumentation and laboratory infrastructure, this team seeks to develop a major instrument capable of characterizing large-scale sprays (e.g. sprays used in fire suppression applications) while also providing the capability to interrogate small-scale sprays (e.g. sprays used in microelectronic applications). The Spatially-resolved Spray Scanning System (SSSS) expands on ideas from the PI's NSF PECASE research and a recent UM invention (PP: 61/548530) that allows for scanning the near-field of large-scale fire suppression sprays.

从微电子制造到火灾保护应用程序，喷雾剂用于各种技术密集型行业。 由于与将连续的流体流相关的物理过程的复杂性以及与表征雾化细节相关的困难，因此对喷雾形成及其与注射条件的关系相关的难度很少。结果，与喷雾相关的开发受到分析特许权的抑制，这些特许权主要依赖于“切割和尝试”和经验方法。但是，随着计算机设计工具变得越来越流行，用于喷雾设备和系统的计算机辅助开发，分析和评估将需要详细的雾化模型。必须精确表征工程喷雾剂，以开发模型来描述其行为并利用这种理解来实现喷雾技术的进步。该团队以现有的仪器和实验室基础设施为基础，试图开发一种能够表征大规模喷雾剂的主要工具（例如，在火灾抑制应用中使用的喷雾剂），同时还提供了询问小规模喷雾剂的能力（例如，在微电源应用中使用的喷雾剂）。空间分辨的喷雾扫描系统（SSSS）扩展了PI的NSF Pecase研究和最近的UM发明（PP：61/548530）的想法，该发明允许扫描大规模抑制大型火灾的近场。