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

  • Ossom I
  • Alonge A
  • Umani K
  • et al.
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Ossom, I. S., Alonge, A. F., Umani, K. C., & Bassey, E. J. (2020). A Mathematical Model for Predicting the Winnowing Efficiency of Bambara Groundnut Sheller. European Journal of Engineering Research and Science, 5(2), 225–228. https://doi.org/10.24018/ejers.2020.5.2.1683

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free