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Description
  • A fuzzy model has been developed for the optimization of high-shear wet granulation wetting on a plant scale depending on the characteristics of pharmaceutical active substance particles. The model optimized on the basis of experimental data involves a set of rules obtained from expert knowledge and full-scale process data. The skewness coefficient of particle size distribution and the tapped density of the granulated mixture were chosen as the model input variables. The output of the fuzzy ruled system is the optimal quantity of wetting liquid. In comparison to manufacturing practice, a very strong sensitivity of the optimal quantity of the added wetting liquid to the size and shape of the active substance particles has been identified by fuzzy modeling.
  • A fuzzy model has been developed for the optimization of high-shear wet granulation wetting on a plant scale depending on the characteristics of pharmaceutical active substance particles. The model optimized on the basis of experimental data involves a set of rules obtained from expert knowledge and full-scale process data. The skewness coefficient of particle size distribution and the tapped density of the granulated mixture were chosen as the model input variables. The output of the fuzzy ruled system is the optimal quantity of wetting liquid. In comparison to manufacturing practice, a very strong sensitivity of the optimal quantity of the added wetting liquid to the size and shape of the active substance particles has been identified by fuzzy modeling. (en)
  • Byl vyvinut fuzzy model pro optimalizaci výrobního procesu vlhké granulace, založeného na charakteristikách částic aktivní farmaceutické substance. Model vychází z experimentálních dat a expertních znalostí průmyslového procesu. Parametry modelu jsou charakteristiky distribuce velikosti částic a setřesná hustota granulované směsi. Výstupem modelu je optimální množství vlhčiva, které koresponduje s velikostí a tvarem částic granulované substance. (cs)
Title
  • Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling
  • Optimalizace procesu vlké granulace s použitím fuzzy-logického modelování (cs)
  • Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling (en)
skos:prefLabel
  • Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling
  • Optimalizace procesu vlké granulace s použitím fuzzy-logického modelování (cs)
  • Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling (en)
skos:notation
  • RIV/67985858:_____/07:00099738!RIV08-AV0-67985858
http://linked.open.../vavai/riv/strany
  • 345;352
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(AV0Z40720504), Z(MSM6046137301), Z(MSM6046137306)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 439905
http://linked.open...ai/riv/idVysledku
  • RIV/67985858:_____/07:00099738
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • fuzzy logic; mathematical model; granulation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [28A69F23E167]
http://linked.open...i/riv/nazevZdroje
  • Pharmaceutical Development and Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 12
http://linked.open...iv/tvurceVysledku
  • Hanika, Jiří
  • Bělohlav, Z.
  • Durdil, P.
  • Kalčíková, J.
  • Tomášek, V.
  • Palatová, M.
  • Břenková, L.
http://linked.open...n/vavai/riv/zamer
issn
  • 1083-7450
number of pages
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