Flow Prediction and Fluctuation-sensitivity Investigations for Quasi-steady Shear Driven Condensing Flows in Milli-meter to Micro-meter Scale Two-Phase Systems

毫米至微米级两相系统中准稳态剪切驱动冷凝流的流量预测和波动敏感性研究

• 批准号: 1033591
• 负责人: Amitabh Narain
• 金额: $ 29.73万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1033591&HistoricalAwards=false
• 关键词: Flow; Prediction; Fluctuation; sensitivity; Investigations

1033591NarainThis research will aid the development of microscale thermal systems that involve liquid-vapor phase change. To achieve desired system performance, it is often the case that shear-driven quasi-steady condensing flows must be made to behave in a predictable and maintainable fashion. Reliable flow prediction capability is therefore needed for millimeter-to-micrometer scale condensers. Intellectual Merit: This research seeks to quantify the fluctuation energy transfer mechanisms to and from a condensing flow that might cause significant transient behavior within and outside of a microscale condenser. Experiments involving three different test sections (horizontal gaps or tubes with characteristic dimensions of 200 micrometers to 2 millimeters) in an instrumented flow-loop facility will lead to measured quantitative information on how a small-scale condenser responds - dynamically and thermally - to fluctuation energy transferred through its inlet and outlet. Quantities to be measured include heat transfer coefficients, pressure drops, and other important criteria that are crucial for successful design and operation. The experimental study will be augmented with simulations to generate a predictive capability applicable to a wide array of geometries and various condensing surface temperature conditions.Broader Impacts: Flow boiling and condensation has promising potential to meet high heat flux needs in many applications. This research will enable a more quantitative prediction of flow and heat transfer in small scale condensers. The research will involve graduate students and undergraduate students recruited from underrepresented groups.

1033591NARAINTHIS研究将有助于开发涉及液态相变的微观热系统。为了实现所需的系统性能，通常必须使剪切驱动的准稳态凝结流以可预测且可维护的方式行为。因此，需要可靠的流量预测能力，以毫米至微量计尺度的冷凝器。智力优点：这项研究旨在量化与缩合流的波动能量转移机制，该机制可能导致显微镜冷凝器内外引起明显的瞬态行为。涉及三个不同测试部分的实验（水平间隙或管子的水平间隙或试管，为200微米至2毫米至2毫米），将导致有关小规模的冷凝器如何在动态和热中响应的小规模冷凝器对通过其入口和销售的波动转移的测量信息。要测量的数量包括传热系数，压降和其他重要标准，这些标准对于成功的设计和操作至关重要。实验研究将通过模拟进行增强，以产生适用于多种几何形状和各种缩合表面温度条件的预测能力。BRODER的影响：流动沸腾和凝结具有有望在许多应用中满足高热量需求的潜力。这项研究将使小型冷凝器的流量和热传递进行更定量的预测。这项研究将涉及研究生和本科生从代表性不足的群体中招募的。