Intelligent Decision Support and Control Technologies for Continuous Manufacturing of Pharmaceuticals and Fine Chemicals
Intelligent Decision Support and Control Technologies for Continuous Manufacturing of Pharmaceuticals and Fine Chemicals
批准号:
EP/K014250/1
负责人:
Ivan Andonovic
金额:
$316.25万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
中文摘要
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英文摘要
Although continuous crystallisation provides significant benefits to innovative manufacture, the key challenge of real time, robust monitoring of quantitative attributes (form, shape, size) of particulate products still remains a massive challenge. While particle attributes are crucial for downstream processing of products, no current solution allows the processing of data from in-line sensors to reliably extract these attributes in real time across multiple manufacturing steps and the subsequent use of this knowledge for IDS and control of processes. The development of solutions for the sector requires expertise across many technologies driven by end user requirements. Industrial co-creators will provide the requirements, the range of expertise within the applicants ensuring that the goals of the programme are met. The grant will enable the establishment of a process test-bed which as the project matures, will be made available to a range of national and international user and application communities. This activity will support the creation of a requirement and technology roadmap, in so doing informing both the research and commercial communities on future opportunities. The project will also yield the following added value to the community: - the cross-disciplinary nature of the project and participating teams will stimulate new solutions and promote creativity through sharing best practice in executing research from different perspectives- the PDRAs will be applying their know-how to joint development tasks, allowing them to gain comprehensive knowledge and expertise across a range of field and in so doing provide trained, talented engineers that will fuel the deployment of these innovative solutions- the project addresses the integration of a number of distinct architectural layers to transform a physical infrastructure into a flexible platform which supports a range of applications whilst accessible to users
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DOI:
10.1016/j.ces.2016.10.031
发表时间:
2017-02-02
期刊:
CHEMICAL ENGINEERING SCIENCE
影响因子:
4.7
作者:
[Agimelen, Okpeafoh S., Mulholland, Anthony J., Sefcik, Jan]
通讯作者:
Sefcik, Jan
Multi-sensor inline measurements of crystal size and shape distributions during high shear wet milling of crystal slurries
晶体浆料高剪切湿磨过程中晶体尺寸和形状分布的多传感器在线测量
DOI:
10.1016/j.apt.2018.09.003
发表时间:
2018
期刊:
Advanced Powder Technology
影响因子:
5.2
作者:
[Agimelen O]
通讯作者:
Agimelen O
DOI:
10.1016/j.ces.2014.11.014
发表时间:
2015-02-17
期刊:
CHEMICAL ENGINEERING SCIENCE
影响因子:
4.7
作者:
[Agimelen, Okpeafoh S., Hamilton, Peter, Mulholland, Anthony J.]
通讯作者:
Mulholland, Anthony J.
DOI:
10.1016/j.ces.2018.06.067
发表时间:
2018-12-14
期刊:
CHEMICAL ENGINEERING SCIENCE
影响因子:
4.7
作者:
[Cardona, Javier, Ferreira, Carla, Tachtatzis, Christos]
通讯作者:
Tachtatzis, Christos
The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry
在线图像分析在制药行业向连续制造转型中的作用
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
[Cardona J]
通讯作者:
Cardona J
共 7 条
Sub-acute ruminal acidosis: a multidisciplinary approach to understand and prevent a multifactorial disease
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批准号:BB/J016373/1
-
项目类别:Research Grant
-
资助金额:$29.76万
-
财政年份:2012
-
负责人:Ivan Andonovic
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依托单位:
TRAffic Modelling for Sensor Network Optimisation and Development (TRAMSNOD)
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批准号:EP/D049229/1
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项目类别:Research Grant
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资助金额:$11.06万
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财政年份:2007
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负责人:Ivan Andonovic
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依托单位:
INTERFEROMETRIC NOISE IN OPTICAL CODE MULTIPLE ACCESS SYSTEMS
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批准号:EP/D032547/1
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项目类别:Research Grant
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资助金额:$1.96万
-
财政年份:2006
-
负责人:Ivan Andonovic
-
依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: