Effect of modeling parameters on the mechanical response of macroscopic crushing of agglomerate

Long, Sifang; Xu, Shaomin; Zhang, Yanjun; Zhang, Jing; Wang, Jun

doi:10.1016/j.powtec.2022.117720

Cited by 16 publications

(2 citation statements)

References 22 publications

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“…There was no adhesion between the oil sunflower seeds and no additional resistance when the particles moved on the vibrating screen. Therefore, the simulation analysis of the oil sunflower seed motion process was based on the Hertz-Mindlin no-slip contact model [24][25][26] . In this study, a multi-sphere cluster combination filling method was used to fill the oil sunflower seeds.…”

Section: Contact Model Selectionmentioning

confidence: 99%

Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes

Wei,

Li,

Hao

et al. 2024

International Journal of Agricultural and Biological Engineering

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The behavior of oil sunflower seeds penetrating screen holes is an important factor that affects the screening performance of oil sunflower seeds. In this study, a double-deck reverse-motion vibrating screening device for oil sunflower seed screening was designed. The force condition and motion law of the oil sunflower seeds on the screen surface were analyzed. This study compared the effect of particle filling amount of discrete element model of oil sunflower seeds on the simulation effects. The screening process was numerically simulated using the coupled Discrete Element Method and Multibody Dynamics (DEM-MBD) technique with the screening percentage of oil sunflower seeds as the index. The influence of the operating parameters of the vibrating screen on the screening effect was analyzed using a multiparameter collaborative optimization scheme. The results of this study can provide a reference for the numerical simulation of crop screening behavior and the development of screening devices.

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Section: Contact Model Selectionmentioning

confidence: 99%

Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes

Wei,

Li,

Hao

et al. 2024

International Journal of Agricultural and Biological Engineering

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“…Fu, et al ( 2009) defined the critical impact velocity at which breakage of a kernel occurs (the critical velocity is defined as the minimum impact velocity at which one or more cracks are observed within the kernel) [83]. Long (2022) established a DEM model of corn kernel and determined that the head of corn kernel has a strong capacity to withstand impact loads through high-precision simulation [84]. These models have improved researchers' understanding of seed kernel impact damage factors, and in addition, these studies have greatly contributed to the development and improvement of devices that may produce seed kernel breakage.…”

Section: /13mentioning

confidence: 99%

Factors, Harms, and Control of Corn Kernel Breakage: A Review

GuiXiang,

YaHao,

ChaoSai

et al. 2023

Ann Food Process Preserv

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Corn kernel breakage is an important cause of corn losses. Beginning at harvest, corn kernels are broken by collisions with farm machinery and equipment, drying induces increased kernel breakage susceptibility, and equipment transfers and grain loading generate collisions between corn kernels and with equipment, increasing the amount of broken kernels. Meanwhile, broken kernels increase the risk of insect damage, mold and mildew, as well as aggravate segregation during warehousing, which is detrimental to the safety and quality of corn storage. The causes of corn kernel breakage from harvest to storage are summarized, the water content is a key factor in the post-production quality and quantity of corn, the research results on kernel breakage in recent years are summarized, and suggestions are made for the research related to the reduction of corn kernel breakage rate.

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DEM model acquisition of the corn ear with bonded particle model and its simulated parameters calibration

Han,

Zhou,

Nie

et al. 2024

Granular Matter

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Effect of modeling parameters on the mechanical response of macroscopic crushing of agglomerate

Cited by 16 publications

References 22 publications

Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes

Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes

Factors, Harms, and Control of Corn Kernel Breakage: A Review

DEM model acquisition of the corn ear with bonded particle model and its simulated parameters calibration

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