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Development, Testing and Optimization of a Moringa (Moringa oleifera) Seed Dehuller

机译:辣木(Moringa Oleifera)种子Dehuller的开发,测试和优化

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A moringa dehuller which adopted impact principle for dehulling was developed, and the performance was evaluated in terms of the dehulling efficiency. Central composite rotatable design consisting of three factors and five levels was adopted for the experiments, and the experimental factors were moisture content, feed rate and operational speed, while dehulling efficiency was the dependent variable. Data analyses were performed using multiple linear regression at 5% significant level, and the processing factors were related to dehulling efficiency using developed mathematical models. Experimental results were used to validate predicted optimum conditions. Maximum dehulling efficiency of 87.41% was obtained at moisture content of 9.00% wet basis, feed rate of 2.17 kg/min and an operating speed of 900 rpm. The coefficient of determination (R-2) for the dehulling efficiency was 0.86. In the range of 8-12% wet basis for moisture content, 1.17-2.5 kg/min for feed rate and 600-1000 rpm for operational speed, where the goal for dehulling efficiency was maximum, the predicted optimal value was 90.20% at 8.00% wet basis moisture content, 2.50 kg/min feed rate and 902.36 rpm operational speed with a desirability of 0.92. Under these optimal conditions, the experimental value was 89.63%. The deviation between the experimental and predicted values was low and statistically insignificant, which implies that the selected model could efficiently predict the dehulling efficiency.
机译:开发了采用影响原则的Moringa Dehuller,并且在脱离效率方面评估了性能。中央复合可旋转设计由三种因素和五个水平组成,实验采用,实验因素是水分含量,进料速率和运行速度,同时剥离效率是依赖变量。使用多个线性回归在5%显着水平下进行数据分析,并且处理因子与使用开发的数学模型的脱离效率有关。实验结果用于验证预测的最佳条件。在9.00%湿基的水分含量下获得最大脱色效率为87.41%,进料速率为2.17kg / min,操作速度为900rpm。用于脱水效率的测定系数(R-2)为0.86。在8-12%的湿基础范围内,用于含水量为1.17-2.5千克/分钟,运行速度为600-1000 rpm,其中脱离效率的目标最大,预测的最佳值为9.00在8.00时为90.20% %湿法含水量,2.50kg / min进料速率和902.36 rpm运行速度,期望为0.92。在这些最佳条件下,实验值为89.63%。实验和预测值之间的偏差低且统计学微不足道,这意味着所选择的模型可以有效地预测剥离效率。

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