Powder tech
Powder Technology 211 (2011) 54–59
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Powder Technology j o u r n a l h o m e p a g e : w w w. e l s ev i e r. c o m / l o c a t e / p ow t e c
Modeling of iron ore pelletization using 3 ** (k–p) factorial design of experiments and polynomial surface regression methodology
John Samuel Thella a,⁎, R. Venugopal b a b
Research Development and Technology, Tata Steel Limited, Jamshedpur, India
Indian School of Mines University, Dhanbad, India
a r t i c l e
i n f o
Article history:
Received 23 November 2010
Received in revised form 15 March 2011
Accepted 26 March 2011
Available online 5 April 2011
Keywords:
Pelletization
Modeling of pelletization
Iron ore slimes
a b s t r a c t
The process of size enlargement or agglomeration finds a variety of applications in material processing and utilization. Pelletization is one such process which uses water as medium and revolving units (Disc/Drums) to form spherical pellets from fine particulates. Green or wet pelletization is the first step in pelletization process and is of critical importance since the effectiveness of the subsequent stages of drying and in duration depends on the quality and quantity of green pellets.
This research presents the work carried out to develop model equations to predict the size distribution of pellets at any given level of intervals. Modeling of pelletization was oriented towards predicting the size distribution of pellets at any given level of variables .The prediction of pellet size distribution involves quantification of the self preserving curve and correlation between D50 and the variables. A new model has been developed to predict the size distribution of the pellets using advanced statistical software “STATISTICA”.
The equation Y = − 0.3757X2 + 1.6256X-0.74 where “Y” is the cumulative wt.% passing and “X” is D/D50 was used to predict the pellet size distribution.
Correlation between D50 and variables was
Contents lists available at ScienceDirect
Powder Technology j o u r n a l h o m e p a g e : w w w. e l s ev i e r. c o m / l o c a t e / p ow t e c
Modeling of iron ore pelletization using 3 ** (k–p) factorial design of experiments and polynomial surface regression methodology
John Samuel Thella a,⁎, R. Venugopal b a b
Research Development and Technology, Tata Steel Limited, Jamshedpur, India
Indian School of Mines University, Dhanbad, India
a r t i c l e
i n f o
Article history:
Received 23 November 2010
Received in revised form 15 March 2011
Accepted 26 March 2011
Available online 5 April 2011
Keywords:
Pelletization
Modeling of pelletization
Iron ore slimes
a b s t r a c t
The process of size enlargement or agglomeration finds a variety of applications in material processing and utilization. Pelletization is one such process which uses water as medium and revolving units (Disc/Drums) to form spherical pellets from fine particulates. Green or wet pelletization is the first step in pelletization process and is of critical importance since the effectiveness of the subsequent stages of drying and in duration depends on the quality and quantity of green pellets.
This research presents the work carried out to develop model equations to predict the size distribution of pellets at any given level of intervals. Modeling of pelletization was oriented towards predicting the size distribution of pellets at any given level of variables .The prediction of pellet size distribution involves quantification of the self preserving curve and correlation between D50 and the variables. A new model has been developed to predict the size distribution of the pellets using advanced statistical software “STATISTICA”.
The equation Y = − 0.3757X2 + 1.6256X-0.74 where “Y” is the cumulative wt.% passing and “X” is D/D50 was used to predict the pellet size distribution.
Correlation between D50 and variables was
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