Scaled-up rice grain modelling for DEM calibration and the validation of hopper flow

Zhang, Shun; Tekeste, Mehari Z.; Li, Yong; Gaul, Alan; Zhu, Dan; Liao, Juan

doi:10.1016/j.biosystemseng.2020.03.018

Cited by 57 publications

(32 citation statements)

References 41 publications

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“…This means that the seed volume can be used as a parameter to improve the DEM simulation process. This fact was confirmed in a study on the volumetric scaling of rice seeds with the discrete element method (DEM) 46 and in a study where the volume-to-surface ratio was used to describe and control particles 47 .…”

Section: Resultsmentioning

confidence: 78%

The influence of water content on selected physical properties of cereal seeds to improve the precision of DEM simulation

Gierz¹,

Kolankowska²,

Markowski³

2021

Preprint

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This article presents the results of research on the influence of moisture on changes in selected physical properties, i.e. the length, width, thickness and weight of dressed and untreated cereal seeds in order to improve the simulation process based on the discrete element method (DEM). The research was conducted on the seeds of three winter cereals, i.e. triticale, rye, and barley. The seeds with an initial moisture content of about 7% were moistened to 5 levels, ranging from 9.5% to 17.5%, at an increment of 2%. The statistical analysis showed that moisture significantly influenced the physical properties of the seeds , i.e. their length, width, thickness, and weight. As the moisture content of the seeds increased, there were greater differences in their weight. The average increase in the thousand kernel weight resulting from the increase in their moisture content ranged from 4 to 6 mg. The change in the seed moisture content from 9.5% to 17.5% significantly increased the volume of rye seeds from 3.10% to 14.99%, the volume of triticale seeds from 1.00% to 13.40%, and the volume of barley seeds from 1.00% to 15.33%. These data can be used as a parameter to improve the DEM simulation process.

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Section: Resultsmentioning

confidence: 78%

The influence of water content on selected physical properties of cereal seeds to improve the precision of DEM simulation

Gierz¹,

Kolankowska²,

Markowski³

2021

Preprint

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“…Nowadays, DEM has become the main application method for simulating screw conveying, and it is also widely used in geotechnical field, [15][16][17] mining field, [18][19][20] chemical field, [21][22][23] and agricultural field. [24][25][26] With the continuous improvement and development of the DEM, it has been widely used in the field of bit research to construct different drilling environments through DEM, and then analyze the particle movement in the drilling process. Hong et al 27 used DEM to analyze the influence of different rotational speeds and auger angles on the transport performance of ice particles, and found that the variation of the average particle velocity with auger angle was smaller than the change due to the increase in rotational speed.…”

Section: F I G U R Ementioning

confidence: 99%

“…In the 20th century, Cundall et al 12–14 proposed the discrete element method (DEM), and simulated the conveying performance of screw conveyor for the first time through DEM. Nowadays, DEM has become the main application method for simulating screw conveying, and it is also widely used in geotechnical field, 15–17 mining field, 18–20 chemical field, 21–23 and agricultural field 24–26 . With the continuous improvement and development of the DEM, it has been widely used in the field of bit research to construct different drilling environments through DEM, and then analyze the particle movement in the drilling process.…”

Section: Introductionmentioning

confidence: 99%

Drilling study of bit in gravel environment based on DEM–MBD

Gao

Liu

et al. 2021

Engineering Reports

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In the process of rock bolt support for the roadway with floor heave, the rock bolt cannot reach the bottom of the borehole smoothly due to the influence of the collapse gravels around the borehole. In order to solve the problem of difficult rock bolt installation, the auxiliary installation device of rock bolt drilling was innovatively designed. At the same time, a new method of auxiliary bolt installation was put forward, in which a bit was installed at the bottom of the bolt to assist the bolt drilling. The drilling process of the bit was simulated by the co-simulation of discrete element method (DEM) and multibody dynamics method (MBD). The axial resistance of the bit and the change law of the particles movement were studied under different motion parameters and structural parameters. It was found that the drilling performance of bit was directly related to the motion parameters and structure of bit. And the selection of gravel parameters in DEM was verified by experiments. The research results can provide technical guidance for bit structure design and the selection of motion parameters of bolt drilling auxiliary installation device, and can effectively improve the rock bolt installation efficiency.

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“…Then the clam DEM shape (Figure 1c), based on the clam 3D shape, was filled with different size particles using the multi-sphere method (MSM) in EDEM software (EDEM 2018, DEM Solutions Ltd., Edinburgh, UK) [22]. The Hertz-Mindlin no-slip contact model, one of the most commonly employed contact models, was selected in EDEM [22,23,32]. The simulation contact parameters input in EDEM between the living clam and different contact materials were calibrated using the DEM simulation calibration approach.…”

Section: Clam Dem Modelmentioning

confidence: 99%

“…Therefore, several studies have calibrated the simulated contact parameters of agricultural granular materials through DEM simulation calibration. The calibration objects include corn [17][18][19][20], dried cherry fruit [21], rice [3,22,23], wheat [11], soybean [24,25], minipotatoes [9,26], rape stalks [27], peanuts [28], and yams [29]. Although DEM simulation calibration has been widely used in the calibration field, there are still some deficiencies requiring improvements, such as few studies on the simulation calibration of the contact parameters of heterogeneous and live materials, e.g., clam.…”

Section: Introductionmentioning

confidence: 99%

Calibration of the Discrete Element Method Parameters in Living Juvenile Manila Clam (Ruditapes philippinarum) and Seeding Verification

Zhang

et al. 2021

AgriEngineering

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The Manila Clam is an important economic shellfish in China’s seafood industry. In order to improve the design of juvenile Manila Clam seeding equipment, a juvenile clam discrete element method (DEM) particle shape was established, which is based on 3D scanning and EDEM software. The DEM contact parameters of clam-stainless steel, and clam-acrylic were calibrated by combining direct measurements and test simulations (slope sliding and dropping). Then, clam DEM simulation and realistic seeding tests were carried out on a seeding wheel at different rotational speeds. The accuracy of the calibrated clam DEM model was evaluated in a clam seeding verification test by comparing the average error of the variation coefficient between the realistic and simulated seeding tests. The results showed that: (a) the static friction coefficients of clam-acrylic and clam-stainless steel were 0.31 and 0.23, respectively; (b) the restitution coefficients of clam-clam, clam-acrylic, and clam-stainless steel were 0.32, 0.48, and 0.32, respectively. Furthermore, the results of the static repose angle from response surface tests showed that when the contact wall was acrylic, the coefficient rolling friction and static friction of clam-clam were 0.17 and 1.12, respectively, and the coefficient rolling friction of clam-acrylic was 0.20. When the contact wall was formed of stainless steel, the coefficient rolling friction and static friction of clam-clam were 0.33 and 1.25, respectively, and the coefficient rolling friction of clam-stainless steel was 0.20. The results of the verification test showed that the average error between the realistic and simulated value was <5.00%. Following up from these results, the clam DEM model was applied in a clam seeding simulation.

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Scaled-up rice grain modelling for DEM calibration and the validation of hopper flow

Cited by 57 publications

References 41 publications

The influence of water content on selected physical properties of cereal seeds to improve the precision of DEM simulation

The influence of water content on selected physical properties of cereal seeds to improve the precision of DEM simulation

Drilling study of bit in gravel environment based on DEM–MBD

Calibration of the Discrete Element Method Parameters in Living Juvenile Manila Clam (Ruditapes philippinarum) and Seeding Verification

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