Bionic Optimization Design of Rotary Tiller Based on Fuzzy Algorithm

Wang, Bo; Chen, Mengji; Wei, Jinfeng; Guang-hua, Liang; Liang, Kunyong

doi:10.1155/2022/1203973

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…According to the experimental results in Table 2, a regression prediction model was established between the non-uniformity in spreading (Y) and the rotating radius (X 1 ), bending angle (X 2 ), sub-blade tilt angle (X 3 ), forward velocity (X 4 ), and rotation speed (X 5 ) by using Design Expert 13.0 software, as shown in Equation (13). The analysis and fitting of experimental data resulted in the variance analysis of non-uniformity in spreading (Y), as detailed in Table 3.…”

Section: Regression Prediction Modelmentioning

confidence: 99%

“…Scholars have extensively researched the operational performance of blades used in agricultural machinery in soil environments. Some researchers have explored altering particle trajectories by designing blades of different shapes to influence the movement of soil particles along predetermined paths [12][13][14][15]. Others have investigated the cutting and scattering processes of blades to uncover underlying patterns of particle motion [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Simulation Analysis and Optimization Design of Paddy Field Mud Spreader Blades for Uniform Dispersion

Ren,

Chen,

Bao

et al. 2024

Agriculture

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To improve the distribution of mud particles collected in the tray during the operation of paddy field mud spreader blades, the optimal combination of parameters for the blades that results in the best uniformity of mud dispersion needs to be identified. In this study, a thorough force analysis was conducted on the spreading process, and computational equations were formulated to describe the motion of mud particles. By utilizing the discrete element simulation technique, a simulation model was developed to accurately represent the intricate interaction between the blades and mud particles. Through the single-factor simulation experiments, the ranges of key parameters such as the rotation radius, bending angle, sub-blade tilt angle, forward velocity, and rotational speed of the blade were determined. A secondary orthogonal rotational combination design was employed to establish a regression prediction model between the non-uniformity of mud dispersion and the key blade parameters. Subsequently, a multivariate single-objective optimization method was used to develop an optimization model for the non-uniformity of mud dispersion. The results indicate that the hierarchical order of factors influencing the non-uniformity of mud dispersion is as follows: rotation radius > rotation speed > bending angle > forward velocity > sub-blade tilt angle. To achieve a minimum spreading non-uniformity of 29.63%, a specific configuration is required, which includes a blade rotation radius of 188 mm, a bending angle of 121°, a sub-blade tilt angle of 30°, a forward velocity of 400 mm/s, and a rotation speed of 191 r/min. Finally, the accuracy of the optimization results was verified by means of bench tests. The research results provide a crucial reference for enhancing the uniformity of mud dispersion in paddy field mud spreader blades.

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Section: Regression Prediction Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation Analysis and Optimization Design of Paddy Field Mud Spreader Blades for Uniform Dispersion

Ren,

Chen,

Bao

et al. 2024

Agriculture

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“…The sliding friction coefficient between the hard particle fixed in the soil and the knife surface [25,26] has only the adhesion component f and is only dependent on the state of lubrication and hysteresis phenomena: k ue = 0.…”

Section: Elastic "Shakedown"mentioning

confidence: 99%

Tribological Study of Chisel Knives in Sandy Soil

et al. 2023

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This paper presents the interaction system within the mechanical soil processing process, consisting of two large elements, the metal of the tool and the soil. Due to the two main forces acting on the chisel knives—friction and impact with the sandy soil—the wear of these chisel knives was determined. To determine the wear, a stand was used which allowed testing chisel-type knives in laboratory conditions by changing their functional parameters: working depth, angle of the knives to work the soil, working speed, humidity and granulation of the test environment. The present paper presents an application of the Archard-type wear law to the contact between a chisel-type knife and sandy soil (wet and dry sand). The theoretical model regarding the Archard wear coefficient considered three forms of surface damage (shake down, ratcheting and micro-cutting). The sand was considered spherical and rigid and the surface of the knife was flat. The experimental model considered real steel knives with different surface hardness and operation under controlled conditions of sand granulation, humidity, attack angle, depth of penetration and speed of sliding. The theoretical and experimental results highlight the wear behavior of chisel knives (Archard coefficient) in wet and dry sand.

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“…al. 5 conducted a study aimed at improving the structural e ciency of rotary tillage blades by incorporating the badger claw toe as a biomimetic model. The study results revealed that there is a decrease in strain and stress, as well as an increase in speci c strength and stiffness, in the bionic design.…”

Section: Introductionmentioning

confidence: 99%

Effect of Geometrical and Operational Parameters on Performance Dynamics of Modified Rotary Blades: A DEM-Based Investigation

Nalawade,

Singh,

Roul

et al. 2024

Preprint

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The geometric features and operational parameters of rotary blades on rotary tillers significantly impact their performance characteristics. The sweepback angle is a geometric feature of the 'L'-shaped rotary blade that has remained unexplored in previous studies. This study aimed to analyze the effect of geometrical and operational parameters on the performance dynamics of the 'L'-shaped rotary blade. The investigation was conducted using the discrete element method (DEM) and further validated through experiments conducted in a soil bin. The simulation experiment was conducted by dividing the particle bed into horizontal particle zones. The effect of the geometrical (sweepback angle) and operational parameters (forward speed, rotational speed and depth) on the power requirement, disturbance intensity and mixing index was studied. The novel method was adopted to determine the mixing capability of rotary blades in terms of sub-domain mixing index (SMI) and overall mixing index (OMI). The results revealed that the power requirements for a sweepback angle of 18° were 26.39% and 16.50% lower than those for sweepback angles of 6° and 12°, respectively. The sweepback angle tends to have the least effect on the overall mixing index compared to operational parameters. The average particle velocity decreased by 22.19 and 29.60% with sweepback angles of 12 and 18°, respectively, compared to the sweepback angle of 6°. The relative error during the experiment varied between 1.29 and 13.51%. It was concluded that the sweepback angle was found to be a feasible option for reducing the power requirement with the minimum impact on the overall performance.

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Bionic Optimization Design of Rotary Tiller Based on Fuzzy Algorithm

Cited by 3 publications

References 12 publications

Simulation Analysis and Optimization Design of Paddy Field Mud Spreader Blades for Uniform Dispersion

Simulation Analysis and Optimization Design of Paddy Field Mud Spreader Blades for Uniform Dispersion

Tribological Study of Chisel Knives in Sandy Soil

Effect of Geometrical and Operational Parameters on Performance Dynamics of Modified Rotary Blades: A DEM-Based Investigation

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