2015
DOI: 10.1080/19392699.2015.1009050
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Optimization of Operating Parameters for Flotation of Fine Coal Using a Box-Behnken Design

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Cited by 10 publications
(6 citation statements)
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“…The two kinetic model parameters ( R ∞ and K ) determined from a recovery-time set of data are effectively used to evaluate the effect of variables on the flotation process. However, it is difficult to compare flotation model parameters among tests or to establish a trend for R ∞ and K values under some conditions. The modified flotation rate constant is an approach to compare total flotation response …”
Section: Resultsmentioning
confidence: 99%
“…The two kinetic model parameters ( R ∞ and K ) determined from a recovery-time set of data are effectively used to evaluate the effect of variables on the flotation process. However, it is difficult to compare flotation model parameters among tests or to establish a trend for R ∞ and K values under some conditions. The modified flotation rate constant is an approach to compare total flotation response …”
Section: Resultsmentioning
confidence: 99%
“…Por lo cual, se hará uso de los diseños factoriales y/o modelos de superficie de reacción para ayudan a describir los comportamientos de flotación por espuma, lo cual ha sido comprobado en diversas investigaciones [17][18][19]. El objetivo de esta investigación es demostrar que el carbón de la región carbonífera no solo obedece cierta tendencia a través de las variables de caracterización, sino también al modelo de superficie de reacción de la flotación, de dos muestras de una misma subcuenca.…”
Section: Sabinas Y Saltillito-lampacitos [16]unclassified
“…BBD was chosen because it does not contain an embedded fractional factorial design and was easy to realise in the experiment [20]. BBD was chosen because it does not contain an embedded fractional factorial design and was easy to realise in the experiment [20].…”
Section: Introductionmentioning
confidence: 99%
“…The one‐factor‐at‐a‐time (OFT) method and response surface methodology (RSM) of Box–Behnken design (BBD) were used for optimising the dyeing process. BBD was chosen because it does not contain an embedded fractional factorial design and was easy to realise in the experiment . The influence of dyeing time, dyeing temperature, diglyme content, and BHT concentration on the depth of shade ( K / S ) of the dyed wool fabrics was investigated.…”
Section: Introductionmentioning
confidence: 99%