Calibration of discrete element parameters for simulating wheat crushing
Abstract The mechanical properties of wheat grains were measured and analyzed using discrete element software, which provided crucial data for their processing in a mill. The foundational Hertz–Mindlin model was used as a theoretical framework to evaluate the accumulation angle of wheat grains. The...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-12-01
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| Series: | Food Science & Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fsn3.3693 |
| _version_ | 1797389199902507008 |
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| author | Xuefeng Wang Wenbin Wu Huapo Jia |
| author_facet | Xuefeng Wang Wenbin Wu Huapo Jia |
| author_sort | Xuefeng Wang |
| collection | DOAJ |
| description | Abstract The mechanical properties of wheat grains were measured and analyzed using discrete element software, which provided crucial data for their processing in a mill. The foundational Hertz–Mindlin model was used as a theoretical framework to evaluate the accumulation angle of wheat grains. The Plackett–Burman, steepest ascent, and Box–Behnken methods were utilized in a series of experiments, with the accumulation angle serving as the dependent variable. Targeting the actual angle of repose in the response surface, the optimal parameters were derived using the regression equations. These included a static‐friction coefficient of 0.3 between individual wheat grains, rolling‐friction coefficient of 0.04 for wheat–wheat interactions, static‐friction coefficient of 0.554 for wheat–tooth roller interactions, collision recovery coefficient of 0.5 for wheat–wheat collisions, collision recovery coefficient of 0.45 for wheat–tooth roller collisions, and rolling‐friction coefficient of 0.05 for wheat–roller interactions. Relying on the bonding contact model of Hertz–Mindlin, virtual uniaxial compression tests were conducted to calibrate the wheat grain bonding parameters. A regression equation for the critical load was subsequently generated using the critical load of the wheat grain bonding model as the response variable. The optimal parameters were calculated and incorporated into the EDEM model for computation, which resulted in a relative error of 1.6% between the calculated and observed values, confirming the accuracy and feasibility of the calibration method, suggesting that the calibrated parameters were accurate. |
| first_indexed | 2024-03-08T22:53:25Z |
| format | Article |
| id | doaj.art-46b5425bd8a74dad98acc276bff00b94 |
| institution | Directory Open Access Journal |
| issn | 2048-7177 |
| language | English |
| last_indexed | 2024-03-08T22:53:25Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Food Science & Nutrition |
| spelling | doaj.art-46b5425bd8a74dad98acc276bff00b942023-12-16T07:01:19ZengWileyFood Science & Nutrition2048-71772023-12-0111127751776410.1002/fsn3.3693Calibration of discrete element parameters for simulating wheat crushingXuefeng Wang0Wenbin Wu1Huapo Jia2School of Mechanical and Electrical Engineering Henan University of Technology Zhengzhou ChinaSchool of Mechanical and Electrical Engineering Henan University of Technology Zhengzhou ChinaSchool of Mechanical and Electrical Engineering Henan University of Technology Zhengzhou ChinaAbstract The mechanical properties of wheat grains were measured and analyzed using discrete element software, which provided crucial data for their processing in a mill. The foundational Hertz–Mindlin model was used as a theoretical framework to evaluate the accumulation angle of wheat grains. The Plackett–Burman, steepest ascent, and Box–Behnken methods were utilized in a series of experiments, with the accumulation angle serving as the dependent variable. Targeting the actual angle of repose in the response surface, the optimal parameters were derived using the regression equations. These included a static‐friction coefficient of 0.3 between individual wheat grains, rolling‐friction coefficient of 0.04 for wheat–wheat interactions, static‐friction coefficient of 0.554 for wheat–tooth roller interactions, collision recovery coefficient of 0.5 for wheat–wheat collisions, collision recovery coefficient of 0.45 for wheat–tooth roller collisions, and rolling‐friction coefficient of 0.05 for wheat–roller interactions. Relying on the bonding contact model of Hertz–Mindlin, virtual uniaxial compression tests were conducted to calibrate the wheat grain bonding parameters. A regression equation for the critical load was subsequently generated using the critical load of the wheat grain bonding model as the response variable. The optimal parameters were calculated and incorporated into the EDEM model for computation, which resulted in a relative error of 1.6% between the calculated and observed values, confirming the accuracy and feasibility of the calibration method, suggesting that the calibrated parameters were accurate.https://doi.org/10.1002/fsn3.3693compressionDEMparameter calibrationwheat |
| spellingShingle | Xuefeng Wang Wenbin Wu Huapo Jia Calibration of discrete element parameters for simulating wheat crushing Food Science & Nutrition compression DEM parameter calibration wheat |
| title | Calibration of discrete element parameters for simulating wheat crushing |
| title_full | Calibration of discrete element parameters for simulating wheat crushing |
| title_fullStr | Calibration of discrete element parameters for simulating wheat crushing |
| title_full_unstemmed | Calibration of discrete element parameters for simulating wheat crushing |
| title_short | Calibration of discrete element parameters for simulating wheat crushing |
| title_sort | calibration of discrete element parameters for simulating wheat crushing |
| topic | compression DEM parameter calibration wheat |
| url | https://doi.org/10.1002/fsn3.3693 |
| work_keys_str_mv | AT xuefengwang calibrationofdiscreteelementparametersforsimulatingwheatcrushing AT wenbinwu calibrationofdiscreteelementparametersforsimulatingwheatcrushing AT huapojia calibrationofdiscreteelementparametersforsimulatingwheatcrushing |