Citation:
Makokha, A.B. & Moys, M.H., 2012. Multivariate approach to on-line prediction of in-mill slurry density and ball load volume based on direct ball and slurry sensor data. Minerals Engineering, 26, p.13–23.
Augustine B. Makokha
Associate Professor of Mechanical Engineering
School of Engineering, Registered Professional Engineer Number: A3099, Corporate Member of IEK: M 4707
Certified Energy Manager by Association of Energy Engineers,
Recent Publications
, 2020. Dynamic Modelling of Low-Temperature Batch In-Bin Drying of Cobed Seed Maize: an Industrial Case Study. Journal of Biosystems Engineering, p.1–12.
2018. Publications list.
, 2015. Characterization of selected mineral ores in the Eastern Zone of Kenya: Case study of Mwingi North Constituency in Kitui County. International Journal of Mining Engineering and Mineral Processing, 4, p.8–17.
, 2014. Effect of slurry solids concentration and ball loading on mill residence time distribution. International Journal of Mining Engineering and Mineral Processing, 3, p.21–27.
, 2012. Optimization of in-mill ball loading and slurry solids concentration in grinding of UG-2 ores: A statistical experimental design approach. Minerals Engineering, 39, p.149–155.
, 2012. Multivariate approach to on-line prediction of in-mill slurry density and ball load volume based on direct ball and slurry sensor data. Minerals Engineering, 26, p.13–23.
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