Pack Factor Measurements for Corn in Grain Storage Bins

dc.citation.doi10.13031/trans.58.11033en_US
dc.citation.epage890en_US
dc.citation.issn0001-2351en_US
dc.citation.issue3en_US
dc.citation.jtitleTransactions of the ASABEen_US
dc.citation.spage879en_US
dc.citation.volume58en_US
dc.contributor.authorBhadra, Rumela
dc.contributor.authorTurner, Aaron P.
dc.contributor.authorCasada, Mark E.
dc.contributor.authorMontross, Michael D.
dc.contributor.authorThompson, Sidney A.
dc.contributor.authorBoac, Josephine M.
dc.contributor.authorMcNeill, Samuel G.
dc.contributor.authorMaghirang, Ronaldo G.
dc.contributor.authoreidrbhadraen_US
dc.contributor.authoreidcasada
dc.contributor.authoreidjmboac
dc.contributor.authoreidrmaghir
dc.date.accessioned2015-09-21T18:17:24Z
dc.date.available2015-09-21T18:17:24Z
dc.date.published2015en_US
dc.description.abstractShelled yellow corn is commonly stored in concrete or corrugated steel bins. Granular materials compact under their own weight, primarily due to particle rearrangement, leading to an increase in bulk density and a change in volume when stored. Reliable grain pack factors are needed to estimate storage capacities and to accurately monitor grain inventories. A science-based model (WPACKING) of pack factors is available that uses the differential form of Janssen’s equation and takes into account the variation in density caused by pressure variation with height and moisture content of the grain and accounts for the effects of grain type, test weight, bin geometry, and bin material. However, this model needs to be compared to field data over a wide range of conditions to ensure robust prediction accuracy. The objective of this research was to determine the field pack factors and bin capacities for on-farm and commercial bins used to store corn in the U.S. and compare them to predictions of the WPACKING program. Bin inventory measurements were conducted in concrete bins with depths up to 31.4 m (114.8 ft) and corrugated steel bins with diameters up to 32.8 m (156Â ft). These values were also compared to the techniques used by the USDA Risk Management Agency (RMA) and the USDA Farm Service Agency, Warehouse Branch (FSA-W). The differences between predicted and reported mass were -4.54% (maximum underprediction) to +4.53% (maximum overprediction) for WPACKING, -2.69% to 4.97% for the RMA method, and -3.33% to + 5.67% for the FSA-W method. The absolute average difference was lowest for the WPACKING model (0.90%) compared to the RMA and FSA-W methods (1.61% and 1.86%, respectively). WPACKING had less than half as many prediction differences above 1% (13 out of 51 bins) as did the RMA and FSA-W methods, which had 29 out of 51 and 33 out of 51, respectively. The RMA and FSA-W methods do not take into account the variations in pack factor due to bin type and moisture content of the stored grain.en_US
dc.identifier.urihttp://hdl.handle.net/2097/20439
dc.language.isoen_USen_US
dc.publisherTransactions of the ASABEen_US
dc.relation.urihttps://doi.org/10.13031/trans.58.11033en_US
dc.rightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectCommercial bin measurementen_US
dc.subjectLaser distance meteren_US
dc.subjectSteel and concrete binsen_US
dc.subjectStored grain pack factoren_US
dc.subjectWPACKINGen_US
dc.subjectCorn, FSA, RMAen_US
dc.titlePack Factor Measurements for Corn in Grain Storage Binsen_US
dc.typeArticle (publisher version)en_US

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