Tomographic and Multi-Dimensional Sensors

Dear Colleagues,

Sensors typically provide key control information of critical parameters in manufacturing processes to meet environmental goals of maximum energy efficiency and minimised emissions, coupled with commercial goals of product quality and process plant utilisation. Many processes operate on bulk raw materials which are combined, perhaps over several stages, into the required intermediate or final form. To attain these general goals, it is often important to monitor a whole process space. In some processes, a single-point sensor may be located at a location assumed to represent a whole space, but variations in materials and process operations may invalidate this assumption. Current powerful process control systems have the potential to optimise process operations, but only when supplied with the most complete state data. Multi-dimensional sensors offer this major capability. The Special Issue presents papers which progress this key aim in novel proposals for appropriate multidimensional sensing configurations, typically in terms of spatial and material property values. Such sensor configurations will include data representations to suit on-line process control requirements. They may offer novel configurations of individual or hybrid sensing elements. A combination may offer a rolling time series for a specific spatial distribution, or an integrated view of a preferred composite representative parameter. SE papers should focus on novel sensor arrangement and methodology proposals, rather than whole application proposals, although they may include a wide range of specific materials, condition sensing (pressure, temperature, etc.), and states (gas, liquid, and solids).

Prof. Dr. Manuch Soleimani
Prof. Dr. Brian Hoyle
Guest Editors

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