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Effects of Pressure and Moisture Content on Bulk Density of Triticale Grain under Compaction
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Highlights

Compaction of triticale grain with three moisture contents (8%, 12%, and 16% wet basis) was measured at five applied pressures (0, 7, 14, 34, and 55 kPa).

Bulk density increased with increasing pressure for all moisture contents and was significantly (p < 0.0001) dependent on both moisture content and applied pressure.

A Verhulst logistic equation was found to model the changes in bulk density of triticale grain with R2 of 0.986.

The model showed similar behavior to that of wheat and rye, indicating that the results of this study can be used with the methods of ASABE Standard S413 to predict the quantity of triticale grain stored in bins.

Abstract. The objective of this study was to determine the combined effects of moisture content (MC) and pressure on the changes in bulk density of triticale grain under compaction at conditions typical of those seen in storage structures and to develop mathematical models to describe the compression behavior. Triticale compaction was measured at three MCs (8%, 12%, and 16% wet basis) and four compaction pressures (7, 14, 34, and 55 kPa) using a square metal box based on the design used in an earlier study by Thompson and Ross. Data from the compaction tests were used to calculate bulk densities for the three MCs and four pressures. Bulk densities were found to be significantly (p < 0.0001) dependent on both MC and pressure. Bulk densities varied with increasing MC, as has been observed in similar studies for other agricultural grains such as rye and wheat. These results provide guidance for estimating the bulk density of triticale in bins and other storage structures. The Verhulst logistic equation was found to best describe the changes in bulk density of triticale caused by rearrangement of the grain kernels at lower pressures for the three MCs. At higher pressures, the grain was observed to be more compliant, and Hooke’s law was used to accurately describe the observed changes. Data from the compaction tests were used to estimate the model parameters, with a correlation coefficient (R2) of 0.986. The model was then used in WPACKING to compare the results of this study to pack factor predictions for triticale and wheat. WPACKING is a computer program that is the basis for ASABE Standard S413. The results of this comparison showed that this method can be used with the methods of ASABE Standard S413 to predict the quantity of triticale grain stored in bins. Keywords: Bulk density, Interaction, Moisture content, Pressure, Triticale, Verhulst logistic equation.

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Publication Date
Sun Dec 09 2018
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Synthesis, Characterization of Poly Heterocyclic Compounds, and Effect on Cancer Cell (Hep-2) In vitro.
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Mon Apr 01 2024
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Journal Of The Faculty Of Medicine Baghdad
Impact of Clinical Pharmacist Intervention on Chemotherapy Knowledge, Attitude, and Practice among Breast Cancer Women
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Publication Date
Fri Oct 19 2018
Journal Name
Journal Of Economics And Administrative Sciences
Integrated Marketing Communication and Its Effect on the revitalization of The Marketing Performance Field Research
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Tue Dec 31 2019
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The Effect of Disclosure and Transparency Criteria In Saudi Banks on The Financial Ratios Indicators
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Wed Jan 01 2020
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The impact of dental environment stress on dentition status, salivary nitric oxide and flow rate
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Wed Jun 08 2022
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Effect of Adjuvant, Concentration and Water Type on the Droplet Size Characteristics in Agricultural Nozzles
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The Role of Fear and Predator Dependent Refuge on a Stage Structure Prey-Predator System
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Publication Date
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The Influence of Obesity and IL-6 on Infertile Iraqi Women with COVID-19 Complications
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The Impact of Calcitriol on Orthodontic Tooth Movement: A Cumulative Systematic Review and Meta-Analysis
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Publication Date
Fri Jun 01 2018
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Comparative study between pure bacterocin and vancomycin on biofilms of MRSA isolated from medical implants
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