Control of moisture content in fluidized bed granulation by neural network.

• Watano Satoru

  Department of Chemical Engineering, Osaka Prefecture University

• Takashima Hideo

  Department of Chemical Engineering, Osaka Prefecture University

• Miyanami Kei

  Department of Chemical Engineering, Osaka Prefecture University

Bibliographic Information

Other Title

• Control of Moisture Content in Fluidize

Abstract

This paper describes a practical method for moisture control in fluidized bed granulation by means of a neural network. Wet granulation of pharmaceutical powder was conducted using an agitation fluidized bed, and moisture content was continuously measured by IR (infrared) moisture sensor. A neural network system for moisture control was developed using moisture content and its changing rate as input variables, and the moisture control characteristics were investigated by the neural network system with a back propagation learning. Good response and stability without overshoot were achieved by adopting the developed systems. This system also maintained favorable stability under various operating conditions.

Journal

• JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

  JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 30 (2), 223-229, 1997

  The Society of Chemical Engineers, Japan

Keywords

• Granulation
• Fluidized Bed
• Moisture Content
• Control
• Neural Network

Details

• CRID: 1390001204565165824
• NII Article ID: 130000020862
• NII Article ID: 10002062521
• NII Book ID: AA00709658
• DOI: 10.1252/jcej.30.223
• COI: 1:CAS:528:DyaK2sXivVGltbw%3D
• ISSN: 18811299
• ISSN: 00219592
• NDL BIB ID: 4209570
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4209570
• Web Site: http://www.jstage.jst.go.jp/article/jcej/30/2/30_2_223/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed