A Mathematical Model for Predicting the Winnowing Efficiency of Bambara Groundnut Sheller

Inimfon Samuel Ossom, Akindele Folarin Alonge, Kingsley Charles Umani and Edidiong J. Bassey
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Inimfon Samuel Ossom: Department of Agricultural and Food Engineering, University of Uyo, Uyo, Akwa Ibom State, Nigeria
Akindele Folarin Alonge: Department of Agricultural and Food Engineering, University of Uyo, Uyo, Akwa Ibom State, Nigeria
Kingsley Charles Umani: Department of Agricultural Engineering, Akwa Ibom State University, Ikot Akpaden, Akwa Ibom State, Nigeria
Edidiong J. Bassey: Department of Agricultural and Food Engineering, University of Uyo, Uyo, Akwa Ibom State, Nigeria

European Journal of Engineering and Technology Research, 2020, vol. 5, issue 2, 225-228

Abstract: A mathematical model for predicting the winnowing efficiency of bambara groundnut sheller was developed. The regression equation for model simulation was developed using Least Square Method. The model was verified and validated by fitting it into established experimental data from winnowing efficiency of already existed Bambara groundnut sheller. The result revealed that the fitted model correlated well with the experimental data with R-square value of 0.99. The winnowing efficiency obtained from the predicted model was approximately the same values with the experimental values. Therefore, the model equation was considered to be reasonably good for predicting the winnowing efficiency of bambara groundnut sheller for known values of moisture content and blower speed.

Keywords: Modeling; Moisture Content; Blower Speed; Bambara Groundnut Sheller (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:2:id:61683

DOI: 10.24018/ejeng.2020.5.2.1683

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