Exploring New Mechanistic Models for Pool Boiling Experiments on Nano-FIns

探索纳米鳍水池沸腾实验的新机理模型

• 批准号: 1134424
• 负责人: Debjyoti Banerjee
• 金额: $ 26.65万
• 依托单位: Texas A&M Engineering Experiment Station
• 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: 2012-01-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1134424&HistoricalAwards=false
• 关键词: Exploring; New; Mechanistic; Models; Pool

PI Name: Debjyoti BanerjeeCBET-1134424 The aim of this proposal is to develop novel mechanistic models for describing the pool boiling phenomena on precisely defined nano-fin structures and to experimentally validate these models. By integrating the research topics in this project with the education plans the PI aims to add to the knowledge base and to develop human capital with expertise in the domain of nanoscale transport phenomena as well as multi-phase flows and heat transfer. The PI will achieve the research goals by developing a new fundamental approach involving sensitivity analysis - i.e. by measuring the local and global response of the boiling process to the spatial perturbations caused by the surface nano-structures. The spatial distribution of the micro/nanoscale local surface temperature transients will be measured using high-speed temperature nano-sensors in a dense spatial array. The global heat flux values will be monitored and the bubble dynamics statistics will be explored including the growth rate, departure diameter and frequency. The high volume of experimental data (surface temperature transients) acquired by the large number (1000+) of high speed nano-sensors will be analyzed using computational visualization tools (animations). Non-Equilibrium Molecular Dynamics (NEMD) will be used to estimate the Kapitza resistance (Rk) of the different nano-fin materials (e.g., organic, inorganic, metallic and ceramic) - in order to design boiling surfaces (nano-fins) with better thermal efficacy.The fabrication/ testing of nano-sensors, molecular models and pool boiling heat flux correlations expected to be developed from this proposed study are of significance for diverse and futuristic applications, including: thermal management (opto-electronics), oil exploration (deep drilling), therapeutics/ biotechnology (rapid thermo-cycling for genomics/ proteomics - amplification/ diagnostics), energy conversion and energy efficiency (HVAC, solar-thermal, geo-thermal and nuclear thermal-hydraulics). School teachers (RET) and minority students (REU) will be trained for developing hands-on learning modules for subsequent use in the classes to kindle the spirit of discovery in the students at an early age. Class-room feedback from teachers will be used to improve the learning modules in successive years. The experimental set-up (nano-sensors and nano-fins) and the simulation results will be used as demonstration modules in courses taught by the PI and the school teachers.

PI 姓名：Debjyoti BanerjeeCBET-1134424 该提案的目的是开发新颖的机械模型，用于描述精确定义的纳米翅片结构上的池沸腾现象，并通过实验验证这些模型。通过将该项目的研究主题与教育计划相结合，PI 旨在补充知识库并培养具有纳米级传输现象以及多相流和传热领域专业知识的人力资本。 PI 将通过开发一种涉及灵敏度分析的新基本方法来实现研究目标，即通过测量沸腾过程对表面纳米结构引起的空间扰动的局部和全局响应。将使用密集空间阵列中的高速温度纳米传感器来测量微/纳米级局部表面温度瞬变的空间分布。将监测全局热通量值并探索气泡动力学统计数据，包括增长率、离开直径和频率。将使用计算可视化工具（动画）对大量（1000+）高速纳米传感器获取的大量实验数据（表面温度瞬变）进行分析。非平衡分子动力学 (NEMD) 将用于估计不同纳米翅片材料（例如有机、无机、金属和陶瓷）的 Kapitza 电阻 (Rk)，以便设计具有更好热效率的沸腾表面（纳米翅片）。预期的纳米传感器、分子模型和池沸腾热通量相关性的制造/测试 这项拟议研究将开发的技术对于多样化和未来的应用具有重要意义，包括：热管理（光电子学）、石油勘探（深钻）、治疗/生物技术（基因组学/蛋白质组学的快速热循环 - 放大/诊断）、能源转换和能源效率（暖通空调、太阳热、地热和核能） 热工水力学）。学校教师（RET）和少数族裔学生（REU）将接受培训，开发动手学习模块，以便随后在课堂上使用，以激发学生从小的发现精神。教师的课堂反馈将用于改进连续几年的学习模块。实验装置（纳米传感器和纳米鳍）和模拟结果将用作 PI 和学校教师教授的课程中的演示模块。