Modeling the Compressibility Behavior of Hard Red Wheat Varieties

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Show simple item record Turner, Aaron P. Montross, Michael D. McNeill, Samuel G. Sama, Michael P. Casada, Mark E. Boac, Josephine M. Bhadra, Rumela Maghirang, Ronaldo G. Thompson, Sidney A. 2016-07-21T21:01:00Z 2016-07-21T21:01:00Z
dc.description Citation: Turner A., M. Montross, S.G. McNeill, M.P. Sama, M.E. Casada, J.M. Boac, R. Bhadra, R.G. Maghirang, and S.A. Thompson. Modeling the compressibility behavior of hard red wheat varieties. 2016. Transaction of ASABE 59(3): 1029-10385.
dc.description.abstract The bulk density of grain in a storage structure varies vertically and horizontally due to the overburden pressure created by the cumulative weight of the overlying material. As the overburden pressure increases, the stored material compacts. This compaction is believed to be caused by rearrangement of kernels along with higher intergranular stress between particles, leading to kernel deformation. This compaction is of primary concern when estimating the amount of grain in a storage structure. In this comprehensive study, confined uniaxial compression tests were conducted on 27 different samples of hard red winter wheat, at three moisture levels, over the range of pressures typically encountered in storage structures (0 to 138 kPa). Mathematical models using the prior, modified, and new forms of the bulk density equation were evaluated to describe the resulting pressure-density relationship as a function of moisture content. With the new data set, the modified version of the Page equation had the lowest root mean square error (RMSE) of 4.7 kg m-3, while the other equations, including the original polynomial equation used in the WPACKING program, had RMSEs between 6.0 and 7.1 kg m-3. The models were validated using previously published compressibility data and the root mean square prediction error was determined to vary from 8.1 to 13.4 kg m-3. Four of the best performing models were subsequently applied to field measurements from 35 concrete and 16 steel bins. When applied to the field data a slight bias was observed in steel and concrete bins, but several of the models, including the modified Page and polynomial models, produced an average error of less than 2% from the measured grain mass.
dc.rights Copyright 2016 American Society of Agricultural and Biological Engineers
dc.subject Bulk density
dc.subject Bulk properties
dc.subject Compressibility
dc.subject Grain storage
dc.subject Packing
dc.subject Test weight
dc.title Modeling the Compressibility Behavior of Hard Red Wheat Varieties
dc.type Article 2016
dc.citation.doi 10.13031/trans.59.11432
dc.citation.epage 1038
dc.citation.issn 2151-0032
dc.citation.issue 3
dc.citation.jtitle Transactions of the ASABE
dc.citation.spage 1029
dc.citation.volume 59
dc.contributor.authoreid jmboac
dc.contributor.authoreid rbhadra
dc.contributor.authoreid rmaghir

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