Energy requirements for size reduction of wheat using a roller mill
1998
Fang, Q. | Haque, E. | Spillman, C.K. | Reddy, P.V. | Steele, J.L.
An experimental two-roll mill was developed and instrumented for computerized data acquisition. Milling tests were performed on three classes of wheat. Included in the study were six independent variables each with three levels, namely, class of wheat, moisture content, feed rate, fast roll speed, roll speed differential, and roll gap. Two covariates, single kernel hardness and single kernel weight, were also included in the statistical analysis. Prediction models were constructed for five dependent variables (fast roll power, slow roll power, net power, energy per unit mass and specific energy). The prediction models fitted the experimental data well (r2 = 0.88 approximately 0.95). The power and energy requirements for size reduction of wheat were highly correlated with the single kernel characteristics of wheat. Feed rate affected fast roll power, slow roll power and net power significantly. Roll gap had a significant effect on roller mill grinding. Additional milling tests were conducted by randomly selecting independent variables and covariates to verify the robustness and validity of the prediction models.
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