SBIR Phase I: Industrial Process Tomography for Turbulent Pipe Flows

SBIR 第一阶段：湍流管流工业过程层析成像

• 批准号: 0313540
• 负责人: Yudaya Sivathanu
• 金额: $ 10万
• 依托单位: EN'URGA INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0313540&HistoricalAwards=false
• 关键词: SBIR; Phase; Industrial; Process; Tomography

This Small Business Innovation Research (SBIR) Phase 1 project proposes to evaluate the feasibility of obtaining statistics (mean, RMS and spatial correlation) of mixing of particulates in turbulent pipe flows. The two key issues that will be addressed during the proposed work are: (1) the feasibility of obtaining local statistics of particles in a turbulent smoke jet using the deconvolution algorithm, and (2) the feasibility of obtaining laser extinction measurement in smoke laden turbulent flow confined within a pipe. Two tasks are planned to address the feasibility of obtaining statistics of particulates in a turbulent pipe flow. The first is to evaluate the deconvolution algorithm in a turbulent smoke jet. The second is to utilize the algorithm in a smoke laden turbulent pipe flow with a variable size opening on the pipe. The statistics of particulates confined in the pipe will be determined asymptotically by varying the opening size. There are two major commercial applications for the on-line monitoring of particulates in confined turbulent flows. The first involves online monitoring of particulate emission from engines and smoke stacks. Power plants, waste-to-energy plants and chemical industries that apply high cost particulate controls would be interested in identifying the efficiency of their control devices at various process conditions. The second application involves assuring quality control in process industries. Solids and powder processing, power, chemical and pharmaceutical industries would benefit the most from the quality improvements that are enabled with on-line particulate monitoring in pipes. The additional commercial application of the particulate monitor will be to help two-phase flow scientists in universities and research laboratories to obtain data for model validation

这项小型企业创新研究（SBIR）第1阶段项目提议评估湍流管流中颗粒物混合的统计数据（平均，RMS和空间相关性）的可行性。在拟议的工作期间将要解决的两个关键问题是：（1）使用反向卷积算法获得湍流烟气喷射中颗粒的局部统计数据的可行性，以及（2）在管道中限制在烟雾中，在烟雾中获得激光灭绝测量的可行性。计划完成两项任务，以解决获得湍流流量中微粒统计的可行性。首先是评估湍流烟气喷射中的反卷积算法。第二个是在烟雾液化管流中利用算法，管道上的尺寸可变。限制在管道中的颗粒物的统计数据将通过改变开放尺寸而渐近地确定。有两个主要的商业应用，用于在线监测受限的湍流中的微粒。首先涉及在线监视发动机和烟雾堆放的颗粒物发射。发电厂，对能源的垃圾到能源工业的高成本颗粒控制感兴趣，将有兴趣在各种过程条件下确定其控制设备的效率。第二个应用涉及确保过程行业的质量控制。固体和粉末加工，功率，化学和制药行业将从管道中的在线颗粒物监测中获得的质量改进中受益最大。颗粒监视器的其他商业应用将是帮助大学和研究实验室中的两相流科学家获取模型验证的数据