Calibration and Tests for the Discrete Element Simulation Parameters of Fallen Jujube Fruit

Shi, Gaokun; Li, Jingbin; Ding, Longpeng; Zhang, Zhiyuan; Ding, Huizhe; Li, Ning; Zhang, Kan

doi:10.3390/agriculture12010038

Cited by 24 publications

(19 citation statements)

References 20 publications

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“…Parameters of φ and θ are among the basic parameters of bulk materials (Vagová et al, 2019). Knowledge of the frictional properties of plant materials is essential in designing mechanical units of machines and selecting parameters for many post-harvesting processes (Wójcik et al, 2020;Tang et al, 2021;Shi et al, 2022). A similar expression of the importance of frictional properties of the grain for machinery or facilities design is also pointed out by many other researchers Li et al, 2020;Kopeć-Jarosz & Wójcik, 2021).…”

Section: Introductionmentioning

confidence: 92%

Effect of Moisture Content on Frictional Properties of Some Selected Grains in Indonesia

Bintoro¹,

Zahra²,

Khansa³

et al. 2023

JST

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The frictional property of grains is one of the most important engineering parameters in developing solid bulk handling of grains. It is necessary for designing agricultural facilities and production process activities. These properties are expressed as internal friction angle (φ) and wall friction angle (θ), which are known to be affected by the moisture content of the grains. This research investigates the effect of moisture content on the values of φ and θ of some selected grains. In the research, some indigenous Indonesian grain types, including rough rice, white rice, corn, soybean, and coffee, each in three varieties and three level of moisture contents, were used as the research samples. Those angles were measured using a self-constructed direct shear cell apparatus. Three different normal loads for each grain type were used with three replications. It is concluded that φ and θ of the tested grains increase with moisture contents with different trends of increments. The relationship of those angles with moisture contents can be expressed as linear regression equations. The slope of the regression lines for both φ and θ is significantly affected by grain type (p<0.05). For φ, coffee (Excelsa) is the most susceptible to the change in moisture content, while dent corn (Hibrida) is the least affected one. For θ, soybean (Galunggung) is the most susceptible to the change in moisture content, while rough rice (Mapan 5) is the least affected one.

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Section: Introductionmentioning

confidence: 92%

Effect of Moisture Content on Frictional Properties of Some Selected Grains in Indonesia

Bintoro¹,

Zahra²,

Khansa³

et al. 2023

JST

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show abstract

“…The row spacing and plant spacing of Cyperus esculentus were 200 ± 15 mm and 150 ± 10 mm, respectively. The operating conditions of the selected test plots were the same as in [24][25][26]. The test apparatus was a Dongfeng DF604 tractor (Changzhou Dongfeng Agricultural Machinery Group Co., Ltd., Changzhou, China, with a matching power of 60 hp) and a bionic reverse rotary tiller.…”

Section: Field Experimentsmentioning

confidence: 99%

Study on Plant Crushing and Soil Throwing Performance of Bionic Rotary Blades in Cyperus esculentus Harvesting

Zhu

Wang

et al. 2022

Machines

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Soil blocking and plant entanglement are the main challenges in Cyperus esculentus harvesting and excavating. The structure of the rotary blade is one of the critical factors affecting plant crushing and soil throwing performance. Inspired by the composite motion of longitudinal soil cutting and lateral soil throwing of the oriental mole cricket, a bionic rotary blade was designed with the contour curve of the excavation edge and excavation surface of its forefoot claw toe. The bionic rotary blade’s mechanical and kinematic analysis revealed its cutting mechanism. A flexible plant soil, bionic, rotary blade discrete element model was developed to simulate the Cyperus esculentus digging process. The optimal excavation edge and excavation surface were selected by a single factor experiment, and the optimal operating parameters of the bionic rotary blade were obtained by quadratic regression orthogonal rotational combination design. The results showed that the bionic rotary blade, based on the excavation edge and excavation surface of mole cricket first claw toe, had the longest throwing distance and the largest number of broken bonds. The best combination of operating parameters of the bionic rotary blade was 11.16 mm for blade spacing, 0.66 m/s for forward speed, and 300 rpm for shaft speed. The field experiment was carried out according to the best parameters. The results showed that the bionic rotary blade’s average soil throwing distance and plant crushing rate were 632.30 mm and 81.55%, respectively; thereby, not only meeting the requirements of Cyperus esculentus harvesting, but proving superior to the operation performance of the Chinese standard rotary blade IT245 and rotary blade with optimized cutting edge (IT245P). The results of this study can provide bionic design ideas and methods for the design of soil-cutting-based tillage machinery’s soil-engaging components, such as the rotary blade and returning blade.

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“…The maximum velocity of the impact that the peanut can withstand is 8.95 m/s. The picking roller speed is 450 r/min, and the picking roller torque is 190 N•m [23,24]. The roller angle factor levels are determined as three based on the integer interval calculated above, −6 • , 10 • , and 14 • , respectively.…”

Section: Structural Parameter Analysis Of Peanut Picking Rollermentioning

confidence: 99%

Experiments and Analysis of a Peanut Semi-Feeding Picking Mechanism Based on the JKR Model

Shang

et al. 2022

Agriculture

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When peanuts are harvested, the high rate of pod crush and pods leakage are the main problems in the current peanut fruit picking process. Optimized peanut picking rollers help to improve peanut harvesting efficiency. This paper investigates the fruit picking system of a three-monopoly, six-row semi-feeding peanut combine harvester, in order to reduce the rate of crush and leakage of peanut pods during the picking process. Firstly, this article specifies the structure and basic parameters of peanut picking pairs of rollers. Secondly, this paper combines JKR (Johnson-Kendall-Roberts) model theory, crash model simulation analysis, a field test, and other methods. Motion and force analysis are presented in detail for the peanut picking mechanism and associated harvesting components. The optimum clamping chain speed, the angle of installation of the picking rollers to the clamping chain, and the picking rollers’ speed are determined. A three-factor, three-level regression orthogonal combination test was designed to obtain regression models for pod crushed and pods leakage rate. The regression model’s response surface analysis concluded that when the clamping chain speed is 0.84–1.2 m/s, the fruit picking roller angle is 10°–11.2° and the fruit picking roller speed is 442 r/min–500 r/min. It is the optimal working parameter for the three-monopoly six-row peanut combine harvester. At this point, the peanut harvesting requirements are met, and the overall performance is significantly improved. This paper lays the foundation for the development of the semi-feeding peanut picking system.

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Calibration and Tests for the Discrete Element Simulation Parameters of Fallen Jujube Fruit

Cited by 24 publications

References 20 publications

Effect of Moisture Content on Frictional Properties of Some Selected Grains in Indonesia

Effect of Moisture Content on Frictional Properties of Some Selected Grains in Indonesia

Study on Plant Crushing and Soil Throwing Performance of Bionic Rotary Blades in Cyperus esculentus Harvesting

Experiments and Analysis of a Peanut Semi-Feeding Picking Mechanism Based on the JKR Model

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