The Centre in Advanced Fluid Engineering for Digital Manufacturing (CAFE4DM)

数字化制造先进流体工程中心 (CAFE4DM)

• 批准号: EP/R00482X/1
• 负责人: Christopher Hardacre
• 金额: $ 407.47万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR00482X%2F1
• 关键词: Centre; Advanced; Fluid; Engineering; Digital

This 5 year project aims to address the challenges in understanding, creating and scaling up manufacturing processes for formulated products with particular reference to those in fast moving consumer goods (home/personal care and food products). The main objective is to develop a new modelling approach which will be combined with experimental measurements of the liquid properties to describe these complex fluids and enable a significant reduction in the conventional physical experimentation required to develop new formulations. The methodologies developed will provide a detailed understanding of the behaviour of these liquids under process conditions which will facilitate the decision making process and accelerate the introduction of new, innovative products to the market optimised to deliver benefits to consumers, e.g. shiny hair or mouthfeel for ice cream. The project brings together a multi-disciplinary team from the University of Manchester, the University of Cambridge and Unilever who are a global leader in the research, process design and manufacture of formulated products. The project is also supported by Process Systems Enterprise Ltd.. A major outcome of the project will be a demonstrator of the Industry 4.0 concept which will enable smart factories to be realised in the process sector and thus allow the UK to remain at the forefront of manufacturing in this field.

这个为期5年的项目旨在解决理解，创建和扩大配方产品制造工艺的挑战，特别是快速消费品（家庭/个人护理和食品）。主要目标是开发一种新的建模方法，该方法将与液体性质的实验测量相结合，以描述这些复杂的流体，并能够显着减少开发新配方所需的传统物理实验。开发的方法将提供对这些液体在工艺条件下的行为的详细了解，这将有助于决策过程，并加速将新的创新产品引入市场，优化为消费者提供益处，例如闪亮的头发或冰淇淋。该项目汇集了来自曼彻斯特大学，剑桥大学和联合利华的多学科团队，他们是配方产品研究，工艺设计和制造的全球领导者。该项目还得到了Process Systems Enterprise Ltd.的支持。该项目的一个主要成果将是工业4.0概念的示范，这将使智能工厂能够在加工行业实现，从而使英国保持在该领域制造业的前沿。

项目成果

The Relationship Between Wormlike Micelle Scission Free Energy and Micellar Composition: The Case of Sodium Laurylethersulphate and Cocamidopropyl Betaine

蠕虫状胶束断裂自由能与胶束组成的关系——以十二烷基醚硫酸钠和椰油酰胺丙基甜菜碱为例

• DOI: 10.26434/chemrxiv.11734635
• 发表时间: 2020
• 作者: Carbone P

Assessment of Near-Infrared and Raman Spectroscopy as Analytical Tools to Predict Viscosity of Ice Cream Mixes

• DOI: 10.1177/00037028231176824
• 发表时间: 2023-06
• 期刊: Applied Spectroscopy
• 影响因子: 3.5
• 作者: C. Cruz;A. Arafeh;P. A. Martin;C. Fonte;A. De Simone;Felix K Oppong;Will Jeatt;T. Rodgers

A general methodology for extracting and categorising flow patterns in turbulent stirred tank mixers based on 2-D network-of-zones (NoZ) model

基于二维区域网络 (NoZ) 模型的湍流搅拌罐混合器中流型的提取和分类的通用方法

• DOI: 10.1016/j.cherd.2023.05.022
• 发表时间: 2023
• 期刊: Chemical Engineering Research and Design
• 影响因子: 3.9
• 作者: Bai Y

Application of a drop breakage model using the full energy spectrum and a specific realisation of turbulence anisotropy

• DOI: 10.1016/j.ces.2021.116702
• 发表时间: 2021-04
• 期刊: Chemical Engineering Science
• 影响因子: 4.7
• 作者: Ioannis Bagkeris;V. Michael;R. Prosser;A. Kowalski

Adoption of Digital Technology in Corporate R&D Context. In Marinos Themistocleous

企业研发中数字技术的采用

• 发表时间: 2019
• 作者: Chao Li