On predicting roller milling performance VI - Effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
On predicting roller milling performance VI - Effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
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DOI：
10.1205/fbp06005
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发表时间：
2007-03-01
影响因子：
4.6
通讯作者：
Muhamad, I. I.
中科院分区：
文献类型：
--
作者：
Campbell, G. M.;Fang, C.;Muhamad, I. I.
基于辊磨破碎方程，建立了由单粒特性分布预测初裂辊磨小麦输出粒度分布的模型。这些模型允许预测破碎的混合物的内核未知的来源或品种和不同的大小和硬度，仅基于Perten单内核表征系统（SKCS）的特点。预测已开发的尖锐到尖锐和钝到钝辊处置，并显示良好的协议与独立的数据。在Dull-to-Dull配置下的研磨对籽粒硬度更敏感，并给出输出粒度的更明显的U形分布（即，小颗粒和大颗粒的比例都很大，很少有中等尺寸的颗粒）。类似地，较软的小麦比较硬的小麦更容易破碎，从而产生U形分布。这些研究结果还表明，由SKCS报告的籽粒硬度与辊磨过程中的小麦破碎有关。以前的工作表明，单粒水分测量可以包括在预测方程，进一步的工作报告在这里表明，有可能添加第四SKCS参数，内核质量，预测，以允许破碎的内核形状的影响。
Models based on the breakage equation for roller milling have been developed to predict the output particle size distribution delivered by First Break roller milling of wheat from distributions of single kernel characteristics. These models allow prediction of the breakage of mixtures of kernels of unknown origin or varieties and varying in size and hardness, based solely on Perten Single Kernel Characterisation System (SKCS) characteristics. Predictions have been developed for both Sharp-to-Sharp and Dull-to-Dull roll dispositions, and show good agreement with independent data. Milling under a Dull-to-Dull disposition is more sensitive to kernel hardness and gives a more pronounced U-shaped distribution of output particle sizes (i.e., large proportions of both small and large particles, with few in the mid-size range) than Sharp-to-Sharp milling. Similarly, softer wheats break to give a more U-shaped distribution than harder wheats. These findings also demonstrate that kernel hardness as reported by the SKCS is meaningful in relation to wheat breakage during roller milling. Previous work has shown that single kernel moisture measurements can be included in predictive equations; further work reported here demonstrates the potential to add the fourth SKCS parameter, kernel mass, to predictions in order to allow for the effect of kernel shape on breakage.