Model for the prediction of grain density and pressure distribution in hopper-bottom silos. (November 2017)
- Record Type:
- Journal Article
- Title:
- Model for the prediction of grain density and pressure distribution in hopper-bottom silos. (November 2017)
- Main Title:
- Model for the prediction of grain density and pressure distribution in hopper-bottom silos
- Authors:
- Cheng, Xuduo
Zhang, Qiang
Shi, Cuixia
Yan, Xiaojie - Abstract:
- Abstract : A model was developed to predict the grain density, pressure distribution and grain mass in hopper-bottom silos. The model consisted of a series of differential equations derived from the force equilibrium on a differential element of grain in the silo. These differential equations govern the relationship between the variable grain density and the stresses in the grain mass. An oedometer was used to measure the bulk density of wheat under various pressure levels. Based on the experimental data, a quadratic equation was proposed to model the relationship between the grain density and the maximum principal stress. The model predicted that grain density, and vertical and lateral pressures in the grain mass increased with the grain depth in the cylindrical portion of the hopper-bottom silo, but decreased with the depth in the hopper. The lateral pressure predicted by the model was greater than that calculated by the Janssen equation for the cylindrical section of the silo. The model predictions of grain mass in silos were compared with the measured values from commercial grain silos at two locations, and differences were found to be less than 1.45%. Highlights: A model was developed to predict grain density and mass in silos with hoppers. The model considered the density as a function of the maximum principal stress. The density–stress relationship was determined by conducting oedometer tests. Grain density increased with depth in cylindrical portion and decreased inAbstract : A model was developed to predict the grain density, pressure distribution and grain mass in hopper-bottom silos. The model consisted of a series of differential equations derived from the force equilibrium on a differential element of grain in the silo. These differential equations govern the relationship between the variable grain density and the stresses in the grain mass. An oedometer was used to measure the bulk density of wheat under various pressure levels. Based on the experimental data, a quadratic equation was proposed to model the relationship between the grain density and the maximum principal stress. The model predicted that grain density, and vertical and lateral pressures in the grain mass increased with the grain depth in the cylindrical portion of the hopper-bottom silo, but decreased with the depth in the hopper. The lateral pressure predicted by the model was greater than that calculated by the Janssen equation for the cylindrical section of the silo. The model predictions of grain mass in silos were compared with the measured values from commercial grain silos at two locations, and differences were found to be less than 1.45%. Highlights: A model was developed to predict grain density and mass in silos with hoppers. The model considered the density as a function of the maximum principal stress. The density–stress relationship was determined by conducting oedometer tests. Grain density increased with depth in cylindrical portion and decreased in hopper. Predicted grain mass in commercial silos was in close agreement with inventories. … (more)
- Is Part Of:
- Biosystems engineering. Volume 163(2017)
- Journal:
- Biosystems engineering
- Issue:
- Volume 163(2017)
- Issue Display:
- Volume 163, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 163
- Issue:
- 2017
- Issue Sort Value:
- 2017-0163-2017-0000
- Page Start:
- 159
- Page End:
- 166
- Publication Date:
- 2017-11
- Subjects:
- Grain -- Hopper-bottom silo -- Bulk density -- Grain pressure
Bioengineering -- Periodicals
Agricultural engineering -- Periodicals
Biological systems -- Periodicals
Génie rural -- Périodiques
Systèmes biologiques -- Périodiques
631 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15375110 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biosystemseng.2017.09.006 ↗
- Languages:
- English
- ISSNs:
- 1537-5110
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.670500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4802.xml