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CFD Modelling and Experimental Validation of Emulsification Processes

CFD Modelling and Experimental Validation of Emulsification Processes
乳化过程的 CFD 建模和实验验证
批准号:
1918781
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
This exciting joint project between the University of Manchester and Unilever will investigate mixing inside stirred tanks through a combination of predictive computational fluid dynamics (CFD) simulations, and simulation validation via experimental methods. Oil in water emulsions are ubiquitous in consumer products. Emulsions are found in everyday consumer goods such as deodorants and ice creams. The emulsions are typically shear thinning non-Newtonian liquids. Oil droplet size distributions inside emulsions has a significant effect on emulsion stability and as well as on viscosity. Therefore, the ability to predict these droplet size distributions is highly desirable. Many consumer goods involving oil in water emulsions are produced inside stirred tanks, where the ingredients are mixed to form an emulsion. The oil droplet sizes inside the emulsions are a function of mixing times, turbulent eddy dissipation rates, the type of stirred tank used, and other key variables. The project requirement is to use CFD to perform simulations of oil in water emulsions as they are formed inside stirred tanks, and provide predictions of the oil droplet size distributions. A key part of the project will be to validate the CFD predictions against experimental data, where the data will be from power measurements and electrical tomography methods. The successful candidate will undertake the CFD simulations and experimental work. The CFD simulations will be multiphase, involving population balance modelling coupled with breakup and coalescence kernels. CFD and experimental methods have been used previously with success to predict oil size distributions in high pressure homogenizers and Silverson high shear devices. Therefore, there is confidence that those models can be generalised to simulate oil droplet size distributions inside stirred tanks. The student will benefit by undertaking an industrially relevant PhD, supported by Unilever, a leading consumer goods company. The student will receive close support from the academic and the industrial advisers. Continuing professional development is actively encouraged, such as charting progress towards chartered engineer (CEng) status or equivalent. There will be opportunities to attend renowned conferences (UK and overseas), and publish novel work in high impact factor journals.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.ces.2019.06.039
发表时间: 2019-11
期刊: Chemical Engineering Science
影响因子: 4.7
作者: [T. John;J. Panesar;A. Kowalski;T. Rodgers;C. Fonte]
通讯作者: T. John;J. Panesar;A. Kowalski;T. Rodgers;C. Fonte
DOI: 10.1016/j.ces.2019.03.015
发表时间: 2019-07
期刊: Chemical Engineering Science
影响因子: 4.7
作者: [T. John;C. Fonte;A. Kowalski;T. Rodgers]
通讯作者: T. John;C. Fonte;A. Kowalski;T. Rodgers
Predicting Droplet Size Distributions of Emulsions Produced in a Sonolator
预测超声波发生器中产生的乳液的液滴尺寸分布
DOI: 10.1021/acs.iecr.9b05596
发表时间: 2020
期刊: Industrial & Engineering Chemistry Research
影响因子: 4.2
作者: [John T]
通讯作者: John T
国内基金
海外基金
Improving modelling of compact binary evolution.
  • 批准号:
    10903001
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2009
  • 负责人:
    史蒂芬
  • 依托单位: