Determination and interpretation of bonded-particle model parameters for simulation of maize kernels. (October 2021)
- Record Type:
- Journal Article
- Title:
- Determination and interpretation of bonded-particle model parameters for simulation of maize kernels. (October 2021)
- Main Title:
- Determination and interpretation of bonded-particle model parameters for simulation of maize kernels
- Authors:
- Su, Yuan
Xu, Yang
Cui, Tao
Gao, Xiaojun
Xia, Guoyi
Li, Yibo
Qiao, Mengmeng - Abstract:
- Abstract : Investigating the relationship between parameters of the bonded-particle model (BPM) and the macroscopic properties of maize kernel may provide a useful insight into the better control of maize processing. This study provides a first step towards the simulation of maize kernel damage behaviour by determining BPM parameters for uniaxial-compressed maize kernels within the discrete element method. Reverse engineering technology was used to obtain a highly accurate representation of maize kernel shape. Rupture force and stiffness were determined by a reliable algorithm. The effects of BPM parameters on mechanical response were examined by employing Plackett–Burman experimental design in conjunction with response surface method to perform significance analysis for the effects of factor combinations. The results showed that shear modulus, coefficient of restitution between particles, and critical normal and shear stress have strong influences on rupture force and stiffness in respect to particle-based parameters, contact parameters, and parallel–bond parameters. Shear modulus and critical normal and shear stress have a significant interactions on stiffness. Graphical abstract: Image 1 Highlights: Failure mechanism of maize kernel analysed in the uniaxial-compressed test using BPM. Significant parameters affecting mechanical properties of maize kernels proposed. Effects of single factors and factor combinations on macroscopic properties examined. Particle-basedAbstract : Investigating the relationship between parameters of the bonded-particle model (BPM) and the macroscopic properties of maize kernel may provide a useful insight into the better control of maize processing. This study provides a first step towards the simulation of maize kernel damage behaviour by determining BPM parameters for uniaxial-compressed maize kernels within the discrete element method. Reverse engineering technology was used to obtain a highly accurate representation of maize kernel shape. Rupture force and stiffness were determined by a reliable algorithm. The effects of BPM parameters on mechanical response were examined by employing Plackett–Burman experimental design in conjunction with response surface method to perform significance analysis for the effects of factor combinations. The results showed that shear modulus, coefficient of restitution between particles, and critical normal and shear stress have strong influences on rupture force and stiffness in respect to particle-based parameters, contact parameters, and parallel–bond parameters. Shear modulus and critical normal and shear stress have a significant interactions on stiffness. Graphical abstract: Image 1 Highlights: Failure mechanism of maize kernel analysed in the uniaxial-compressed test using BPM. Significant parameters affecting mechanical properties of maize kernels proposed. Effects of single factors and factor combinations on macroscopic properties examined. Particle-based parameters, contact parameters, parallel–bond parameters considered. Successful calibration strategy provided for DEM modelling of maize kernel with BPM. … (more)
- Is Part Of:
- Biosystems engineering. Volume 210(2021)
- Journal:
- Biosystems engineering
- Issue:
- Volume 210(2021)
- Issue Display:
- Volume 210, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 210
- Issue:
- 2021
- Issue Sort Value:
- 2021-0210-2021-0000
- Page Start:
- 193
- Page End:
- 205
- Publication Date:
- 2021-10
- Subjects:
- Maize -- Bonded-particle model -- Breakage properties -- Discrete element method (DEM) -- Compression
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.2021.08.022 ↗
- 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:
- 19553.xml