Using functional analysis for understanding complex 3D processes

D. Sankowski, V. Mosorov, K. Grudzień, A. Pląskowski, A. Jaworski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The gas-solids flows in dense pneumatic conveying exhibit many interesting features related to their 3- dimensional and unsteady nature. The flows can be investigated by a high-speed video camera or twin-plane electrical capacitance tomography (ECT). In this paper, the results obtained from tomographic measurements are discussed. The data obtained are processed by means of functional analysis to allow a better understanding of the three-dimensional flow behaviour. Such an analysis enables the investigation of the solids behaviour in a turbulent gas-solids flow. This method is based on an approach in which the whole flow is defined as an n-dimensional image vector, which describes the instantaneous and local changes in solids concentration. Elements of this vector are obtained from a sequence of tomographic images. Each element describes changes in solids concentration within a given pixel and is considered as an elementary function (EF). Preliminary results of the behaviour of gas-solids flow by the proposed method are presented.

Original languageEnglish
Title of host publication3rd World Congress on Industrial Process Tomography
PublisherInternational Society for Industrial Process Tomography
Pages782-787
Number of pages6
ISBN (Electronic)9780853163190
Publication statusPublished - Sept 2003
Externally publishedYes
Event3rd World Congress on Industrial Process Tomography - Banff, Canada
Duration: 2 Sept 20035 Sept 2003

Publication series

Name3rd World Congress on Industrial Process Tomography

Conference

Conference3rd World Congress on Industrial Process Tomography
Country/TerritoryCanada
CityBanff
Period2/09/035/09/03

Bibliographical note

Publisher Copyright:
© 2003 International Society for Industrial Process Tomography. All rights reserved.

Keywords

  • Cross-sectional decomposition
  • Functional analysis
  • Process tomography

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