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Investigation of Continuous-Flow Mixing of Non-Newtonian Fluids through Advanced Flow Visualization Techniques (e.g. Tomography and Ultrasonic Velocimetry) and Computational Fluid Dynamics

Investigation of Continuous-Flow Mixing of Non-Newtonian Fluids through Advanced Flow Visualization Techniques (e.g. Tomography and Ultrasonic Velocimetry) and Computational Fluid Dynamics
通过先进的流动可视化技术(例如断层扫描和超声波测速)和计算流体动力学研究非牛顿流体的连续流动混合
批准号:
RGPIN-2014-03957
负责人:
EinMozaffari, Farhad
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
The mixing of non-Newtonian fluids plays a significant role in chemical, biochemical, food, polymer, pulp and paper, cosmetic, wastewater treatment, and pharmaceutical industries. Previous studies have focused on the mixing of non-Newtonian fluids in the batch mode and little information is available regarding the continuous-flow mixing of these complex fluids. Continuous-flow mixing is prevalent in most of chemical and allied process industries because it provides high production rates, improves process control, and saves operation time and labor costs. The studies conducted in our research lab show that the complex rheology of non-Newtonian fluids creates non-ideal flows (e.g. channeling, recirculation, and dead zone) that significantly affect the efficiency of continuous-flow mixers. A comprehensive literature review reveals that our current understanding and implementation of continuous mixing of non-Newtonian fluids is insufficient to ensure good mixing. The current design of continuous mixing of non-Newtonian fluids is based on limited published information, and trial and error method. In fact, this issue has not been fully delineated yet and there is a clear need to explore this topic in more detail. Thus, our long term research program goal is to develop methodology and tools to design continuous mixing systems for fluids with complex rheology through advanced flow visualization techniques (e.g. tomography and ultrasonic velocimetry) and advanced computational fluid dynamics (CFD) methods. The work is of great importance to the chemical industry of Canada. Mixing is a critical unit operation and is not operating to its fullest potential. Failure to provide the necessary mixing may result in severe manufacturing problems ranging from costly corrections in the plant to complete failure of a process. The annual loss due to poor mixing is estimated at $10 billion in the North America chemical industry alone. The proposed experimental and modeling research program will improve our understanding of continuous mixing of non-Newtonian fluids and enable us to develop the reliable design criteria. Applying the findings of this study will improve variability reduction in the continuous mixing processes. This will lead to capital cost savings, chemical cost reduction, improved equipment design and selection, more reliable process monitoring and control, increased throughput for existing plant, improved quality of products, and more efficient use of power. Thus, the proposed research will contribute to the increased economic activity of the Canadian chemical industry, and will impact our society, quality of life, health and environment. It will also contribute to the education and training of highly qualified personnel (HQP) in the field of mixing technology, advanced flow visualization techniques, computational fluid dynamics, rheology, and dynamic modeling and identification.
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Investigation of Continuous-Flow Mixing of Non-Newtonian Fluids with Energy-Efficient Coaxial Mixers through Advanced Flow Visualization Techniques and Computational Fluid Dynamics
  • 批准号:
    RGPIN-2019-04644
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    EinMozaffari, Farhad
  • 依托单位:
Investigation of Continuous-Flow Mixing of Non-Newtonian Fluids with Energy-Efficient Coaxial Mixers through Advanced Flow Visualization Techniques and Computational Fluid Dynamics
  • 批准号:
    RGPIN-2019-04644
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    EinMozaffari, Farhad
  • 依托单位:
Investigation of Continuous-Flow Mixing of Non-Newtonian Fluids with Energy-Efficient Coaxial Mixers through Advanced Flow Visualization Techniques and Computational Fluid Dynamics
  • 批准号:
    RGPIN-2019-04644
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    EinMozaffari, Farhad
  • 依托单位:
Investigation of mixing and deaeration of innovative liquid calcium carbonate formulation that protects trees and fruits from damage caused by excessive UV exposure and heat stress
  • 批准号:
    557210-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $6.56万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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