
Optimisation of Operational Parameters of a Spiral Classifier Using Design of Experiment (DOE)
Author(s) -
K. Ackah,
Clement Owusu,
F. M. Amoah
Publication year - 2020
Publication title -
ghana mining journal
Language(s) - English
Resource type - Journals
eISSN - 2616-1478
pISSN - 0855-210X
DOI - 10.4314/gm.v20i1.5
Subject(s) - tonnage , classifier (uml) , process engineering , engineering , pulp and paper industry , materials science , mathematics , computer science , artificial intelligence , oceanography , geology
Classifying Mn Ore to improve upon the grade and the properties has become a crucial activity for the Mn industry since it increases the market value of the ore. Ghana Manganese Company (GMC) has renovated their oxide washing plant by integrating it with a spiral classifier to make a batch system operating process. Particle size of 50% using Design of Experiment (DOE). Series of test works were designed using the DOE for the classifier using the constraints of washing time (30-90 min), speed of spirals (20-40 rev/min) and feed tonnage (6-9 t). The outcome of the test work after simulation showed that all the selected parameters had a great influence on Mn grade. The spiral speed and feed tonnage correlated negatively to the Mn grade with washing time correlating positively. Operating the spiral classifier at a feed rate, spiral speed and washing time of 6 t, 25 rev/min, and 30 min, respectively, yielded Mn grade of 53%. A Confirmatory test using the established conditions gave a Mn grade of 53%, which is a 4% increment in the previous Mn grade which was 47%. The outcome of the studies is the new established operational conditions which is adhered to by the plant, producing a manganese concentrate grade ranging between 52-54%.
Keywords: Design of Experiment (DOE), Spiral Classifier, Grade, Manganese