Prediction of Breakage During Roller Milling of Wheat Kernels, Based on Single Kernel Measurements

Прогнозирование разрушения зерновок пшеницы при вальцовом помоле на основе измерений отдельных зерновок
Ida Idayu Muhamad, Chaoying Fang, Grant M. Campbell
2012-01-20

Single Kernel Characterisation Systembreakage functionparticle size distributionroller millingwheat kernels
Pengilangan tepung gandum melibatkan pengisaran bijirin secara berulang-kali (menggunakan roller mill) dan pemisahan (secara pengayakan) bagi perolehan semula hasilan tepung yang berkesan yang secara bandingannya bersih dari pencemaran bran. Satu permulaan bagi membina model perlakuan terhadap campuran bijirin gandum ialah keupayaan bagi menentu-ukur kelainan ciri-ciri yang wujud dalam campuran tersebut. Alatan Perten Single Kernel Characterisation System (SKCS) dapat memberikan taburan kuantitatif bagi jisim, kandungan lembapan, garis pusat dan nilai kekerasan bagi campuran bijirin tersebut, berdasarkan pengukuran 300 kernel dalam masa 5 minit. Cabarannya ialah menghubungkaitkan taburan yang telah ditentukur kepada ramalan keupayaan pengilangan. Pada tahap ini, satu bentuk kefungsian pengisaran (breakage function) dalam konteks parameter tentu-ukuran bagi setiap kernel bijirin telah diterbitkan, dan diintegrasi kepada taburan sifat kernel menggunakan persamaan proses pengisaran (breakage equation). Dengan menggunakan model tersebut, satu jangkaan boleh dilakukan ke atas taburan saiz partikel hasil keluaran pengisaran siri pertama atau First Break roller milling bagi kernel bijirin yang berbeza saiz, kekerasan dan kelainannya, berdasarkan hanya pada ciri-ciri taburan yang diberikan oleh SKCS. Model tersebut telah diuji ke atas hasil keluaran pengisaran pada disposisi (roll disposition) pengisaran sharp-to-sharp dan dull-to-dull, dan didapati menunjukkan keseragaman dengan data bebas (independent data). Kata kunci: Tingkah laku pengisaran, taburan saiz partikel, pemecahan, pengujian satu–kernel, bijirin Wheat flour milling involves repeated breakage (by roller milling) and separation (by sifting) of flour particles to give efficient recovery of fine flour relatively free from bran contamination. A starting point for modelling the behaviour of mixtures of wheat kernels is to be able to measure the variation in kernel properties within the mixture. The Perten Single Kernel Characterisation System (SKCS) gives the distributions of kernel mass, moisture content, diameter and hardness within a mixture, from 300 kernels within 5 minutes. A challenge remains to relate these measured distributions to predictions of milling performance. To this end, a breakage function in terms of these measured parameters for individual kernels has been constructed, and integrated over the distribution of kernel properties using the breakage equation. These models allow prediction of the output particle size distribution delivered by First Break roller milling of kernels varying in size, hardness and variety, based entirely on SKCS characteristics. Predictions have been developed for both sharp-to-sharp and dull-to-dull roll dispositions, and show encouraging agreement with independent data. Key words: Milling behaviour, particle size distribution, breakage, single kernel testing, wheat
1
A kernel-specific breakage function was derived from measured kernel parameters and integrated with the breakage equation to model milling behavior.
2
Predictions were tested under sharp-to-sharp and dull-to-dull roll dispositions and showed consistency with independent experimental data.
3
The Perten Single Kernel Characterisation System quantifies kernel mass, moisture content, diameter, and hardness distributions from 300 kernels within five minutes.
4
The model predicts first-break roller-milling particle-size distributions for kernels differing in size, hardness, and variability using only SKCS-derived property distributions.

Mixtures of wheat kernels during first-break roller milling

Prediction of breakage behavior and output particle-size distributions from single-kernel properties (mass, moisture content, diameter, and hardness)

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2012-01-20
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Ida Idayu Muhamad
Chaoying Fang
Grant M. Campbell
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