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Optimization of sorting efficiency of size grading machine using oscillating sieve with swing along width direction

机译:沿宽度方向摆动的振动筛优化分级机分选效率

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Grading according to the sizes is an important value adding technique for Robusta green coffee bean. Mechanical grading can increase the sorting efficiency and the need for workers is decreased. Therefore, the sorting efficiency of size grading machine was optimized based on inclined angle and oscillating speed. The Response Surface Methodology (RSM) combined with central composite design (CCD) was applied in the optimization of the sorting efficiency of the machine. A quadratic model was suggested for the sorting efficiency of size grading machine. The results showed that the optimum operating parameters for size grading machine using oscillating sieve with swing along width direction were inclined angle of 5.06 degree and oscillating speed of 183.28 rpm with a sorting efficiency of 79.99%. The high correlation coefficient (R~(2)= 0.9676) indicated that the data predicted using RSM were in good agreement with the experimental results.
机译:根据大小分级是罗布斯塔生咖啡豆的一项重要增值技术。机械分级可以提高分类效率,并减少对工人的需求。因此,基于倾斜角度和振荡速度优化了分级机的分选效率。响应面方法(RSM)与中央复合设计(CCD)相结合被用于优化机器的分类效率。对于粒度分级机的分类效率,建议采用二次模型。结果表明,采用振动筛在宽度方向上摆动的分级机的最佳操作参数为倾斜角为5.06度,振动速度为183.28 rpm,分选效率为79.99%。高相关系数(R〜(2)= 0.9676)表明,RSM预测的数据与实验结果吻合良好。

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