TY - JOUR
T1 - Oxidative roasting experimentation and optimum predictive model development for copper and iron recovery from a copper smelter dust
AU - Okanigbe, Daniel O.
AU - Ayomoh, Michael K.
AU - Popoola, Olawale M.
AU - Popoola, Patricia A.
AU - Aigbodion, Victor S.
N1 - Publisher Copyright:
© 2020
PY - 2020/9
Y1 - 2020/9
N2 - The success of a treatment option depends on selection of suitable process variables at which response attains optimum. Hence, this study aimed at investigating the effects of time, temperature and time-temperature on changes in mineralogy (copper sulphate (CuSO4), copper oxide (CuO), ferrous oxide (Fe2O3) and ferric oxide (Fe3O4)) of a copper smelter dust (CSD) during oxidative roasting. This aim was achieved by 2-way analysis of variance and mathematical model development of data obtained. Results showed time as most influential factor with an optimum time of 2 hrs for the production of high yield roast products. Furthermore, it was observed that a maximum of 23.31% proportion of CuSO4 was recovered from an input with 7.86% proportion of CuSO4 at a temperature of 680 °C within a time frame of 2 hrs and for a furnace door opening of 25 mm. Similarly, a maximum of 18.37% of CuO was recovered from an input with 23.91% CuO at a temperature of 800 °C, for a duration of 3 hrs and 25 mm opening of the furnace door. Whereas, an optimum 0.44 ratio value of Fe2O3:Fe3O4 was recovered at a temperature 680 °C, for a duration of 2 hrs and 25 mm furnace door opening. These maximum outputs and associated experimental conditions depict optimum operating conditions of experiment. Furthermore, predicted output proportions obtained from developed constraint interpolant models were well aligned with experimental outputs. A maximum percentage error of 0.07% was recorded in the predictive output for both water and acid soluble mineral fractions.
AB - The success of a treatment option depends on selection of suitable process variables at which response attains optimum. Hence, this study aimed at investigating the effects of time, temperature and time-temperature on changes in mineralogy (copper sulphate (CuSO4), copper oxide (CuO), ferrous oxide (Fe2O3) and ferric oxide (Fe3O4)) of a copper smelter dust (CSD) during oxidative roasting. This aim was achieved by 2-way analysis of variance and mathematical model development of data obtained. Results showed time as most influential factor with an optimum time of 2 hrs for the production of high yield roast products. Furthermore, it was observed that a maximum of 23.31% proportion of CuSO4 was recovered from an input with 7.86% proportion of CuSO4 at a temperature of 680 °C within a time frame of 2 hrs and for a furnace door opening of 25 mm. Similarly, a maximum of 18.37% of CuO was recovered from an input with 23.91% CuO at a temperature of 800 °C, for a duration of 3 hrs and 25 mm opening of the furnace door. Whereas, an optimum 0.44 ratio value of Fe2O3:Fe3O4 was recovered at a temperature 680 °C, for a duration of 2 hrs and 25 mm furnace door opening. These maximum outputs and associated experimental conditions depict optimum operating conditions of experiment. Furthermore, predicted output proportions obtained from developed constraint interpolant models were well aligned with experimental outputs. A maximum percentage error of 0.07% was recorded in the predictive output for both water and acid soluble mineral fractions.
KW - Copper smelter dust
KW - Full factorial experimental design
KW - Optimum predictive model
KW - Oxidative roasting
UR - http://www.scopus.com/inward/record.url?scp=85084834553&partnerID=8YFLogxK
U2 - 10.1016/j.rineng.2020.100125
DO - 10.1016/j.rineng.2020.100125
M3 - Article
AN - SCOPUS:85084834553
SN - 2590-1230
VL - 7
JO - Results in Engineering
JF - Results in Engineering
M1 - 100125
ER -