| 项目编号: | 1707046
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| 项目名称: | GOALI: Population Balance Modeling: Fundamental Closures and Experimental Validation |
| 作者: | Christine Hrenya
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| 承担单位: | University of Colorado at Boulder
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| 批准年: | 2017
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| 开始日期: | 2017-09-01
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| 结束日期: | 2020-08-31
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| 资助金额: | 398474
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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: | solid particle
; flow
; closure
; kinetic theory balance
; numerical modeling
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| 英文摘要: | In nature, the flow of solid particles in avalanches and landslides can lead to quite devastating effects. In industrial processing, the flow of solid particles is inherent to the production of pharmaceuticals, oil and gas, chemicals, and agricultural products. To avoid comparable adverse effects, such as industrial accidents and lost productivity, it is important to predict and control the flow of these granular systems. However, the flow of solid particles is poorly understood and not easily modeled. Whereas models of liquid flow are a basic tenant of engineering and derived from basic physical principles, current models of solid particle flow rely on adjustable parameters, are empirical, and incorporate a number of gross simplifications. This research project uses computer simulations and state-of-the-art experiments to develop and validate theoretical models of flows of solid particles that are based on measurable quantities. In addition, this work supports the involvement of underrepresented groups, the training of junior researchers and students, and the involvement of students in an industrial-academic research partnership. Results from the project will be communicated to the general public via blog posts and a Twitter account.
This project is focusing on the reliable prediction of the mass flow rate of solids when they are fluidized by the upward motion of a flowing gas. Existing empirical correlations for particle entrainment rate constants may vary by many orders of magnitude when applied to the same system. Current models are primarily limited by empiricism and development to a very particular situation. To develop a predictive understanding of fluidized granular systems, this research is deriving a closure for the continuum theory that is based on population and kinetic theory balances. The resulting model for cohesive-particle flows will require only measurable, physical quantities as inputs. The new continuum framework is being applied to the case of humidity-induced agglomeration. Numerical modeling with discrete element method simulations is being combined with non-intrusive shadowgraphy experiments to validate the new theory. A unique aspect of the work is the development of a novel microscopic (particle-particle) cohesion model that drives the closure of the macroscopic (continuum) theory. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/89114
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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: | |
Christine Hrenya. GOALI: Population Balance Modeling: Fundamental Closures and Experimental Validation. 2017-01-01.
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