On-line characterization of slurry for monitoring headbox performance

Hamed Sari-Sarraf, James S. Goddard, John C. Turner, Martin A. Hunt, Besma R. Abidi

Research output: Contribution to conferencePaperpeer-review

Abstract

The wet-end characterization of the paper web by the intelligent, vision-based apparatus involves a 4D measurement of the slurry in real time. These measurements include the 2D spatial formation, the intensity profile, and the depth profile of the slurry. To infer the pertinent web parameters from these measurements, the system employs a suit of sophisticated image processing and pattern recognition algorithms. The automatically inferred parameters are then used to quantify paper formation characteristics and monitor production events.

Original languageEnglish
Pages97-115
Number of pages19
StatePublished - 1998
EventProceedings of the 1998 Process and Product Quality Conference and Trade Fair - Milwaukee, WI, USA
Duration: Oct 18 1998Oct 23 1998

Conference

ConferenceProceedings of the 1998 Process and Product Quality Conference and Trade Fair
CityMilwaukee, WI, USA
Period10/18/9810/23/98

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