Physical Property Prediction using StatMorf, 2006 Papermaker’s Conference

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With the introduction of fiber analyzers that can produce literally hundreds of data points, the question now becomes, how can laboratory or production engineers narrow this data down to a fit/no-fit decision. To rapidly exploit the very rich amount of data points developed by fiber analysis, CTP has developed an additional layer to the fiber characterization platform. This new software has as its primary function the quick and convenient exploitation of the total data sets developed by the fiber analyzer to identify properties that would lead to certain paper characteristics. In addition to a pulps morphological characteristics, research centers measure physical properties of the produced and commercial pulps using handsheets. Additionally, this statistical tool is a practical building block of mathematical models relating physical to morphological properties. Therefore, researchers are able to predict the papermaking properties of an unfamiliar pulp and classify the results simply from a rapid analysis of the pulp fibers with a comparison to a know database.

Author: Christian Bermond, Thierry Lamboley, Guy Eymin Petot Tourtolet, and Joseph O’Leary
Physical Property Prediction using StatMorf, 2006 Papermaker
Physical Property Prediction using StatMorf, 2006 Papermaker’s Conference
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