Mathematical modeling and research of the work of the grain combine harvester cleaning system

Badretdinov, Ildar; Мударисов, Салават; Lukmanov, Ramil; Permyakov, Valery N.; Ibragimov, Radik; Nasyrov, Ruslan

doi:10.1016/j.compag.2019.104966

Cited by 43 publications

(27 citation statements)

References 4 publications

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“…Their simulation results revealed that the longitudinal velocity of the short straw was significantly affected by inlet airflow velocity. Badretdinov et al [9] established a kinematic model of the linkage structure of a grain combine harvester cleaning system by deriving coordinates, velocity, and acceleration of the nodal points. For wind speed distribution, Ueka et al [10] analyzed the turbulent flow characteristics of the cleaning airflow.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Zhang

Chen

et al. 2021

Agriculture

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The threshing of frozen corn is accompanied by breakage and adherence, which influence the cleaning performance when the corn-cleaning mixture is separated and cleaned. In order to reduce the impurity ratio and loss ratio during frozen corn cleaning and provide theoretical support for frozen corn combine harvesting, this study employed a self-made air-screen cleaning system with adjustable parameters. The optimal process parameters of frozen corn cleaning were determined by using the response surface method (RSM). The influences of the fan speed (FS), vibrational frequency (VF), and screen opening (SO) on the cleaning performance were explored. The results showed that all three process parameters had significant effects on the impurity ratio (IR) and loss ratio (LR). The fan speed had the most significant impact. The cleaning performance was optimal when the fan speed was 102.7 rad/s, the vibration frequency was 6.42 Hz, and the screen opening was 21.9 mm, corresponding to a 0.80% impurity ratio and a 0.61% loss ratio. The predicted values of the regression models were consistent with the experimental results with a relative error of less than 5%. The reliability and accuracy of regression models were established and confirmed.

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Section: Introductionmentioning

confidence: 99%

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Zhang

Chen

et al. 2021

Agriculture

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“…Therefore, the maize mixture is easy to accumulate in the front of the screen [4,5] . As the working width of the combine harvester and the yield of crops per unit continues to increase year by year, the feeding mass continues to be increased [6] . The maize mixture could not be migrated backward rapidly in the front of the planar reciprocating vibrating screen, making the accumulation of the maize mixture more serious, resulting in a reduction in screening efficiency and the operating efficiency of the maize grain harvester [7] .…”

Section: Introduction mentioning

confidence: 99%

Bionic design and performance test of maize grain cleaning screen through earthworm motion characteristics

Wang

Zhang

et al. 2021

International Journal of Agricultural and Biological Engineering

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The maize mixture feeding with a large mass cannot be migrated backward rapidly along the planar reciprocating vibrating screen, and it is easy to accumulate in the front of the screen, which leads to the decrease of screening efficiency. Based on the reverse engineering technology, using the wavy geometry formed during the earthworm (Pheretima guillelmi) moving as a bionic prototype, a bionic screen was designed to make the maize mixture migrate backward rapidly in the front of the screen. The contour curve of earthworm's head in an axial contracted state was extracted and fitted to obtain its equation.Based on the difference of concave position of the lower surface's wavy geometry during the earthworm moving, the motion of the bionic screen was divided into four postures, and the conversion between different postures of the bionic screen was realized by the cam drive mechanism. The kinematics simulation of the bionic screen was carried out through ADAMS, and the displacement and velocity of the bionic screen were analyzed. When the feeding mass of the maize mixture was set at 5 kg/s, 6 kg/s and 7 kg/s, the test results showed that the time of the maize mixture migrated (TOMMM) in the front of the bionic screen was shortened by 0.18 s, 0.71 s, and 1.36 s, respectively, compared with that of planar reciprocating vibrating screen. The total screening time (TST) of the bionic screen was shortened by 1.28 s, 1.33 s, and 1.53 s, respectively. The ability of the maize mixture to be migrated backward was improved. This study can provide a reference for the innovative design of the cleaning screen.

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“…The dispersion sector of the "elementary" site contains the amount of grain proportional to the ratio of the site to the area of the whole figure 5-10-12-1-6. From the totality of superimposed sectors, a common dispersion sector is constructed relative to the fixed center of the beater [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The work of the cutting beater in the transition zone threshing and separating devices combine harvesters

et al. 2020

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In this article we studied the work of cutting beater in the transition zone of a combine harvester threshing drum. The influence of the parameters of the beater on the reflection of grains in its interaction with the heap flow and feed to the first stage of the straw-cutter is considered. A constructive scheme of the location of the working bodies of the transition zone showed a decrease in losses for straw.

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Mathematical modeling and research of the work of the grain combine harvester cleaning system

Cited by 43 publications

References 4 publications

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Bionic design and performance test of maize grain cleaning screen through earthworm motion characteristics

The work of the cutting beater in the transition zone threshing and separating devices combine harvesters

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