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On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat

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...

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Main Authors: Campbell, Grant M, Fang, Chaoying, Muhammad, Ida Idayu
Format: Article
Language:English
Published: Institution of Chemical Engineers 2007
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/5939/1/IdaIdayuMuhammad2007_OnPredictingRollerMillingPerformance.pdf
http://eprints.utm.my/id/eprint/5939/
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spelling my.utm.59392010-06-01T15:36:47Z http://eprints.utm.my/id/eprint/5939/ On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat Campbell, Grant M Fang, Chaoying Muhammad, Ida Idayu T Technology (General) 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 bardness 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. Institution of Chemical Engineers 2007 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/5939/1/IdaIdayuMuhammad2007_OnPredictingRollerMillingPerformance.pdf Campbell, Grant M and Fang, Chaoying and Muhammad, Ida Idayu (2007) On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat. IChemE Journal: Food and Products Processing, 85 . pp. 7-23. ISSN 0960-3085
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Campbell, Grant M
Fang, Chaoying
Muhammad, Ida Idayu
On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
description 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 bardness 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.
format Article
author Campbell, Grant M
Fang, Chaoying
Muhammad, Ida Idayu
author_facet Campbell, Grant M
Fang, Chaoying
Muhammad, Ida Idayu
author_sort Campbell, Grant M
title On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
title_short On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
title_full On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
title_fullStr On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
title_full_unstemmed On predicting roller milling performance V1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
title_sort on predicting roller milling performance v1. effect of kernel hardness and shape on the particle size distribution from first break milling of wheat
publisher Institution of Chemical Engineers
publishDate 2007
url http://eprints.utm.my/id/eprint/5939/1/IdaIdayuMuhammad2007_OnPredictingRollerMillingPerformance.pdf
http://eprints.utm.my/id/eprint/5939/
_version_ 1643644438839296000
score 13.211869

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