File Name: process tomography principles techniques and applications .zip
Written by international experts in this field, the book describes the principles of, and presents case studies for, the wide range of tomographic imaging techniques that can be used in the process industries. It includes sufficient introductory material to this multi-disciplinary subject in order that readers from a variety of backgrounds will be able to fully understand the fundamental principles and features of the sensors and image reconstruction techniques needed for process tomography. Process and Instrumentation Engineers, Electrical Engineers and Physicists involved in imaging and sensing, Mathematicians and Fluid dynamicists and other teaching and research staff.
Applications of electrical tomography to improve the performance of crystallization, precipitation and mixing processes. Industrial Tomography Systems plc. Electrical tomography has developed rapidly over the last few years in its sophistication and practical use to enable three-dimensional information on the distribution of phases within flowing mixtures to be observed1. This paper reviews the current state of application from the industrial perspective, drawing on applications case studies based on scaling studies in the laboratory right through to installations on plant. In the laboratory, applications have looked at scale-up of mixing2 processes involving gas-liquid and solid-liquid suspensions3 with a particular interest in verifying computational fluid dynamics simulations or in checking scale-up design4,5. In the processing plant, the circumstances are usually bespoke and may range from simple detection of the degree of homogeneity of a flowing mixture through to the need to measurement a sophisticated batch process such as crystallization, sedimentation, filtering and drying. Examples drawn from the chemical and pharmaceutical industries will be presented and related to the benefits that can be gained through application of the method.
Contact Newsletter. Newsletter Sign in for news and special offers information. On-line access. Your basket. Process Tomography: Principles, Techniques and Applications. Written by international experts in this field, the book describes the principles of, and presents case studies for, the wide range of tomographic imaging techniques that can be used in the process industries.
Tomographic measurement techniques offer the opportunity to quantify the degree of homogeneity of particulate suspensions and other multiphase mixtures. Electrical resistance tomography is a relatively simple and inexpensive technique for measuring the distribution of electrical conductivity within multiphase systems. This can provide pertinent information about the physical form, the chemical composition, or the general status of manufacturing. In this contribution, we present recent applications of this technology to processes in pharmaceutical and related application areas. Examples include on-line measurement of solids distribution in stirred tanks and crystallizers, monitoring the performance of an industrial pressure filter, and flow profile and velocity measurements in a physical model of a catalytic reactor. This is a preview of subscription content, access via your institution.
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Download Citation | Process Tomography: Principles, Techniques and Examples of typical process applications and the sensing methods that can be used to probe these systems are briefly described. Request Full-text Paper PDF.
Show all documents Design and application of a multi-modal process tomography system This paper presents a design and application study of an integrated multi-modal system designed to support a range of common modalities: electrical resistance, electrical capacitance and ultrasonic tomography. Such a system is designed for use with complex processes that exhibit behaviour changes over time and space, and thus demand equally diverse sensing modalities. A multi-modal process tomography system able to exploit multiple sensor modes must permit the integration of their data, probably centred upon a composite process model. The paper presents an overview of this approach followed by an overview of the systems engineering and integrated design constraints. These include a range of hardware oriented challenges: the complexity and specificity of the front end electronics for each modality; the need for front end data pre-processing and packing; the need to integrate the data to facilitate data fusion; and finally the features to enable successful fusion and interpretation. A range of software aspects are also reviewed: the need to support differing front-end sensors for each modality in a generic fashion; the need to communicate with front end data pre-processing and packing systems; the need to integrate the data to allow data fusion; and finally to enable successful interpretation.
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