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Real-time determination of film coating thickness in a fluidised bed coating process with in-line Near InfraRed Spectroscopy
2000 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The aim of this study is to develop a generic method for real-time control and monitoring of film thickness growth in a batch spouted-bed coating. NIR monitoring and a theoretical growth model are described as a tool to follow the coating process. An experimental design, where the process parameters are varied in nine batches, is created to investigate the validity of the model. The film thickness increase during the runs is calculated and compared with the film thickness obtained by a reference method, image analysis. In-line NIR- spectra (spectra taken in process) from six of the batches are calibrated with the corresponding theoretical film thickness by a multivariate analysis method, PLS (partial least square) regression. Film thickness predicted by the PLS model are then compared with the actual median thickness, as measured by image analysis. The film growth model is in good agreement with the image analysis results. Root mean square error is 1.95 *m, which emphasise high precision and accuracy of the growth model. The calibration of in-line NIR-spectra to film thickness calculated with a growth model is successful with PLS. The PLS model contains three principal components, which describe 99.4% of the variance in NIR-spectra and 98.9% of the variation in film thickness calculated by the growth model. The root mean square error (RMSE) between the film thickness predicted by NIR-spectra and the film thickness calculated by the theoretical growth model is 1.23 µm. The film thickness predicted by the NIR-spectra was in good agreement (RMSE = 2.19 µm) with the observed median film thickness obtained by image analysis.

Place, publisher, year, edition, pages
2000.
Keyword [en]
Technology, NIR, coating process, film thickness
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-54417ISRN: LTU-EX--00/336--SELocal ID: b5f06aaf-7b6d-466b-a254-89f9831568b9OAI: oai:DiVA.org:ltu-54417DiVA: diva2:1027798
Subject / course
Student thesis, at least 30 credits
Educational program
Chemical Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf