Biotribological Characteristic of Peanut Harvesting Impact-Friction Contact under Different Conditions

Zhang, Peng; Xu, Hongbo; Zhuo, Xiaoru; Hu, Zhichao; Lian, Chenglong; Wang, Bing

doi:10.3390/agronomy12061256

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…Other studies have proposed several methods to measure the friction coefficient, including the parallel wall, shear box, and inclined plane methods (Sun et al 2018). Moreover, the coefficient of friction used in many harvesting equipment design studies has typically been measured using the slant method; the coefficient of friction measured using this method is simply the coefficient of sliding or rolling friction (Zhang et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Frictional properties of red pine cones harvested under different conditions

Ren,

Teng,

Gao

et al. 2023

BioRes

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The climbing of trees to pick pinecones is a high-risk exercise. In this study, a mechanical gripper jaw was designed. Frictional characteristics between the pinecones and the mechanical gripper jaw during pinecone picking under different conditions were investigated using a workbench simulation, homemade inclined friction meter, and mass tester. Three-level orthogonal and one-factor tests were conducted. The relationship between the water content and friction properties and between the water content and hardness were investigated, and conclusions were drawn on how water content affected friction properties by influencing hardness. The results showed that the contact material greatly affected the friction properties. The pinecone water content was maintained between 24% and 28% to ensure that the coefficient of friction was maximized and that the pinecones were sufficiently hard to dislodge. Additionally, a prototype machine was used to perform pinecone-gripping experiments to validate the experimental and simulation results. Consequently, the results of this study provide a useful reference for the structural design of pinecone picking robots and the picking reason.

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Section: Introductionmentioning

confidence: 99%

Frictional properties of red pine cones harvested under different conditions

Ren,

Teng,

Gao

et al. 2023

BioRes

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“…Peanut whole-feed harvesting, which comprises a series of operations such as pick-up, picking, cleaning, and collecting at the same time, has the advantages of low operating cost and high efficiency, and is the most popular mechanized peanut harvesting mode all over the world [ 1 ]. With the continuous innovation and progress of the mechanized peanut harvesting technology, the peanut whole-feed harvester has been widely used in the main production areas of China [ 2 , 3 ]. However, a large amount of dust is emitted from the harvester under the action of the beating, kneading, and cleaning of the whole-feed peanut plants and the entrained soil [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dust Emission Characteristics of Peanut Whole-Feed Harvesting Based on Total Amount Collection Method

Zhang

et al. 2022

IJERPH

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In view of the lack of a total amount collection method of dust emitted from a peanut whole-feed harvester and the unknown characteristic parameters of dust emission, a total amount dust collection method based on the combined action of centrifugation and filtration was proposed. The structural parameters of a total amount dust collection device were designed through theoretical analysis. On this basis, the production of a total amount dust collection device and a total amount dust collection test of the peanut whole-feed harvester were completed. The test showed that the total amount dust collection device could meet the needs of dust emission characteristics research. After analyzing the collected dust, it was found that the emitted particles were a mixture of soil particles and fiber particles. When the engine speed of the harvester was increased from 1600 rpm to 2400 rpm, the total emission rate increased from 3.36% to 4.28%, and the particulate emission rate increased from 1.44% to 2.63%; it also caused 4.29~4.98% of seedling blowing loss. The emission proportion of soil particles was reduced from 58.93% to 44.25%, and the emission proportion of fiber particles was increased from 41.07% to 55.75%. Among the emitted particles, the particle size peak of soil particles was concentrated at 22.9~30.2 μm; the particle size peak of fiber particles was concentrated at 478.6~631.0 μm. The research method and results can provide a reference for the optimization of dust reduction and emission reduction of peanut whole-feed harvesters and similar crop harvesters.

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“…The surface forces between the peanut pods and the picking blade are not considered. Therefore, this paper uses the JKR theoretical model in contact mechanics to analyze the critical impact force and critical speed of impact between the picking roller and the peanut pods [11][12][13].…”

Section: Introductionmentioning

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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Biotribological Characteristic of Peanut Harvesting Impact-Friction Contact under Different Conditions

Cited by 9 publications

References 14 publications

Frictional properties of red pine cones harvested under different conditions

Frictional properties of red pine cones harvested under different conditions

Analysis of Dust Emission Characteristics of Peanut Whole-Feed Harvesting Based on Total Amount Collection Method

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

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