Publication Date : 01/08/2016

Author(s) :

Dangora, N.D., Yusuf, D.D..

Volume/Issue :
Volume 11
Issue 2
(08 - 2016)

Abstract :

A Grain damage prediction model was developed for a motorized stationary dehusker sheller. In order to develop an optimization grain damage model for this machine, performance evaluation tests were carried out in two sets, first, to generate data for the development of the models and secondly for validation of the developed models. Each experiment was a factorial design involving four crop and machine variables, speed, S, feed rate, F, concave clearance, C and Moisture content, M, each at three levels, replicated three times. The layout was in a completely randomized block design. Dimensional analysis and the theory of axial threshing were used to develop the model. In evaluation of the Damage model RMSE, Bias, d and SB values of 0.453, 0.121, 0.907 and 0.0144 were computed respectively. These minimal deviation values coupled with high value of 0.907 for the index of agreement, established validity of the prediction. Concave clearance variable has the least sensitivity in the grain damage prediction model.

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