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A Composite Representation of Pulp Quality
Canadian Journal of Chemical Engineering
  • Gordon Broderick, Nova Southeastern University
  • J. Paris
  • J.L. Valade
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Principal component analysis (PCA) performed on data from pilot scale chemimechanical (CMP) pulping trials indicates that over 90% of the variation in 11 hand sheet properties can be expressed in terms of only 4 composite variables. The relationships between the original properties and the new composite properties are displayed graphically using a biplot of the PCA scores. These techniques are combined to construct a chart capable of monitoring changes in a large number of quality responses simultaneously. Model accuracy can be monitored on the same chart resulting in a tool which will self-diagnose as well as offer a powerful overview of the process.
Citation Information
Gordon Broderick, J. Paris and J.L. Valade. "A Composite Representation of Pulp Quality" Canadian Journal of Chemical Engineering Vol. 29 Iss. 1 (1995) p. 19 - 28 ISSN: 0169-7439
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