| 项目编号: | 1701519
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| 项目名称: | EAGER: Exploratory Natural Models for Fog Harvesting |
| 作者: | Constantine Megaridis
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| 承担单位: | University of Illinois at Chicago
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| 批准年: | 2017
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| 开始日期: | 2017-08-01
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| 结束日期: | 2019-07-31
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| 资助金额: | 138000
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | atmosphere
; beetle harvest fog
; beetle
; incoming fog stream condition
; moisture harvesting device
; mechanistic model
; natural system
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| 英文摘要: | The present study focuses on the physical mechanisms that allow a beetle to collect water droplets from the atmosphere, and quantify water collection rates as a function of the incoming fog stream conditions. Fundamental knowledge in this area is necessary because of its relevance to engineering systems that use either physical capture (nets, screens, etc.) or phase change (condensation) to extract water from the atmosphere. The research is of interest not only to the thermal transport community, but also to the wider communities of biomimetics. The impact of this study may transcend interdisciplinary boundaries and has the potential to maximize fundamental knowledge of immense technological importance.
The work combines multiphase fluid transport with elements of biology, ecology and materials engineering. More specifically, the work will quantify water collection rates not only in terms of the chemistry and morphology of the beetle's body, but also with respect to the flow structure and droplet concentration boundary layer around the animal. This would be the first time that a study considers the integral system of the beetle and the surrounding atmosphere, which is a multi-phase fluid flowing over a complex granular terrain. The natural system studied has the potential to inform the design of moisture harvesting devices based on biomimetic principles. On the fundamental side, the research is expected to produce a mechanistic model of how the beetles harvest fog from the atmosphere. The data produced will also contribute to the debate surrounding earlier proposed fog basking models that have inspired intense activity and discussion in the thermal transport community. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/89575
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Constantine Megaridis. EAGER: Exploratory Natural Models for Fog Harvesting. 2017-01-01.
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