The application of a neural network methodology to the analysis of a dyeing operation

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The purpose of a dyeing process is to impart into a fiber a color that has desirable qualities through the use of a bath solution. The success of an operation is dependent on a variety of factors including fiber content, dye composition, dyebath pH, time, and temperature. In the event of a failed run, the addition of a correct amount of each dye that will move the dye run from a fail condition to a pass condition is a subjective judgement of an experienced operator. This paper presents a neural network approach for analyzing the dyeing process. Predictions of dye ... continued below

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10 p.

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Hench, K.W. & Al-Ghanim, A.M. September 1, 1995.

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Description

The purpose of a dyeing process is to impart into a fiber a color that has desirable qualities through the use of a bath solution. The success of an operation is dependent on a variety of factors including fiber content, dye composition, dyebath pH, time, and temperature. In the event of a failed run, the addition of a correct amount of each dye that will move the dye run from a fail condition to a pass condition is a subjective judgement of an experienced operator. This paper presents a neural network approach for analyzing the dyeing process. Predictions of dye additions were obtained with promising results.

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10 p.

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OSTI as DE95016949

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  • ANNIE `95: artificial neural networks in engineering, St. Louis, MO (United States), 12-15 Nov 1995

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  • Other: DE95016949
  • Report No.: LA-UR--95-2720
  • Report No.: CONF-9511121--1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 108067
  • Archival Resource Key: ark:/67531/metadc628607

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  • September 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Feb. 25, 2016, 1:21 p.m.

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Hench, K.W. & Al-Ghanim, A.M. The application of a neural network methodology to the analysis of a dyeing operation, article, September 1, 1995; New Mexico. (digital.library.unt.edu/ark:/67531/metadc628607/: accessed May 24, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.