| 项目编号: | EP/I006095/1
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| 项目名称: | SPEC_SENSE: Fast Spectroscopic Sensing and Measurement Products for Characterisation of Industrial Processes |
| 作者: | Brian Stewart Hoyle
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| 承担单位: | University of Leeds
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| 批准年: | 2010
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| 开始日期: | 2011-01-02
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| 结束日期: | 2012-31-08
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| 资助金额: | GBP164635
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| 资助来源: | UK-EPSRC
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| 项目类别: | Research Grant
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| 国家: | UK
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| 语种: | 英语
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| 特色学科分类: | Process engineering 
; (60%)
; Systems engineering 
; (20%)
; Tools, technologies & methods 
; (20%)
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| 英文摘要: | We use a vast range of products directly or indirectly in everyday life. These range from soups to baby-foods to feed us; paints and coating products to provide robust structural materials; plastics and composites to create many products; and pharmaceutical drugs to fight disease. They share a similar manufacturing method in which raw materials (or reagents) are combined through physical or chemical means, and known as a 'process'. This takes place in a 'process vessel', which is often sealed, under pressure and at elevated temperature. Critical aspects of such processes are efficiency, product quality, energy use and emissions impact. The core aim of this project is to stimulate new sensing products that can enhance these aspects and exploit their markets through licences.The project builds upon our background science and experimental technology, which an estimation of the internal (invisible) distribution of process materials. These innovations harness two principles: spectroscopy - the identification of specific materials; and, tomography - the identification of the distribution of components within the process vessel (similar to methods to 'see inside' human bodies for medical diagnosis). Electrical energy using a 'compressed wide-band' is used, both to give the 'spectral' coverage and to provide fast response to suit dynamic processes. The project aims to provide a demonstration level for specific trial applications; to offer licensees a clear path for onward development into the two product forms: a 'point sensor' form, to identify materials in its immediate vicinity; and a 'zone sensor' form, to identify the distribution of specific materials. Increased knowledge empowers design and/or control to deliver major benefits to process end users: increased productivity and product quality, reductions in emissions and waste products, reduced energy demand and resulting carbon impacts. In illustration we can consider the advantages offered in two product examples. Pharmaceutical compounds are produced using crystallisation processes which are highly variable and can have poor yields such that some batches may not meet tight product specifications. This results in waste of energy, raw materials, and in the costly disposal of the useless out-of specification product. Here a Spec_zone sensor can transform 'process-knowledge' to allow 'smarter control, and gain a major increase in 'on-specification' yield, gaining obvious major benefits. These are very high value products and hence financial business savings can be large. The manufacture of foodstuffs follows a conventional recipe: such as mixing and cooking natural ingredients such as chopped vegetables in water. Unwanted objects in the product such as natural materials such as stalks and large seeds, and unnatural materials such as small pieces of metal or plastic are a possibility. Although these may be unpleasant for adults in products such as soups (but still present a serious 'brand' quality issue for the manufacturer) they may be dangerous if present in baby-foods. It is easy to find metals, using x-ray detectors on a pipeline, but much more difficult to find small objects, such small pieces of plastic or wood which can be detected by the 'wide-band' Spec_point sensor.In conclusion the ability to estimate the presence and concentration of specific materials and their distribution offers major benefits in effective process management. The project will provide demonstrations and concept details to enable licensees to develop future products, based on the Spec_point and Spec_zone concepts. It will include detailed application sectors studies to highlight potential early adopters. It is supported by two instrumentation suppliers who have expressed a keen interest in evaluation, and both have diverse markets and customers who are likely to be involved in evaluations. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/103566
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| Appears in Collections: | 科学计划与规划
气候变化与战略
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作者单位: | University of Leeds
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| Recommended Citation: | |
Brian Stewart Hoyle. SPEC_SENSE: Fast Spectroscopic Sensing and Measurement Products for Characterisation of Industrial Processes. 2010-01-01.
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