Self-Excited-Resonance of Soil-Engaging Surface Spectrum: A New Method of Soil Cutting Resistance Reduction DOI Creative Commons
Zhijun Guo, Yiqing Qiu, Xianghai Yan

и другие.

Agriculture, Год журнала: 2023, Номер 13(6), С. 1154 - 1154

Опубликована: Май 30, 2023

In this study we explored the methods and effects of spectral resistance reduction for soil-engaging surface self-excited resonant bulldozing plates with a plane base on basis resonance effects. acquisition low-order vibration frequency f0 bin soil, centering around point f0, eight spatial geometric wave points ni surfaces three amplitudes were selected; by superimposing plane-based plates, 24 structures model samples combinatorically designed. Resistance characteristics each sample tested using an indoor soil test. Near vibrating spectrum obtain preferable inhibitory effect working resistance. At 4 mm amplitude point, achieved best effect, maximum relative rate 22.67%, desorption relevant was also good. On other hand, away from whether increased or decreased, corresponding relatively. This is in good agreement law that theoretical curve higher both sides lower. paper provides reference parameter design related product development various forced cutting tools.

Язык: Английский

Construction and analysis of a discrete element model for calculating friction resistance of the typical rotary blades DOI
Jian Cheng, Junfang Xia, Kan Zheng

и другие.

Computers and Electronics in Agriculture, Год журнала: 2023, Номер 214, С. 108303 - 108303

Опубликована: Окт. 12, 2023

Язык: Английский

Процитировано

11

Determination of discrete element model parameters for hilly red soil and validation through spiral opener performance analysis DOI

Pinglu Chen,

Jeremy Xiong Chang Su,

Qing Xie

и другие.

Computational Particle Mechanics, Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0

Research on Optimization of Digging Shovel Parameters for a Garlic Harvester Based on Soil Damage Evolution DOI Creative Commons
Rundong Zhou,

Jianxi Ding,

Yongjian Wang

и другие.

Agronomy, Год журнала: 2025, Номер 15(4), С. 832 - 832

Опубликована: Март 27, 2025

The digging mechanism is the component of garlic harvesters that consumes most energy. Consequently, there are theoretical gaps in design resistance reduction. These due to complexity interaction dynamics between shovel and soil, insufficient understanding evolution patterns soil damage. To address these challenges, this study develops a finite element model shovel–soil system using damage mechanics characterize nonlinear mechanisms under operational loading conditions. methodology integrates three critical phases: (1) analysis was employed identify key parameters for calibration; (2) systematic simulations were used evaluate effects variables—entry angle, blade bevel forward speed, vibration frequency—on resistance; (3) orthogonal experimental optimization carried out. Key results include following: (i) A relationship identified variables (entry frequency) Furthermore, threshold optimal performance determined. as an entry angle 20°, speed 0.39 m/s, frequency 2.6 Hz. (ii) Validation through bin experiments, demonstrating strong agreement simulated measured load–displacement responses, confirming predictive accuracy model. research presented paper may offer insights into principles low-resistance designs underground fruit harvesting.

Язык: Английский

Процитировано

0

Parameter optimization and numerical analysis of the double disc digging shovel for corn root-soil complex DOI
Hailong Che, Hua Zhou, Yinping Zhang

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 235, С. 110386 - 110386

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0

Structural Design and Analysis of Bionic Shovel Based on the Geometry of Mole Cricket Forefoot DOI Creative Commons
Sisi Lin, Hongyan Sun, Guannan Yan

и другие.

Agriculture, Год журнала: 2025, Номер 15(8), С. 854 - 854

Опубликована: Апрель 15, 2025

In the mechanized harvesting of root vegetables, loosening is a key factor that restricts efficiency. Existing mechanical methods have poor effect and high operational resistance. Therefore, more efficient agricultural machinery needed to reduce energy consumption improve To this end, based on excavation mechanism first claw toe structure mole cricket forefoot, paper designs shovel tip bionic by extracting its contour curve analyzing process, constructs working resistance model dynamic balance equation shovel, determines optimal parameters through two-factor three-level orthogonal simulation experiments, carries out comparative experiments with common shovels. The results show combination operating for rotational speed ω = 5 r/s traveling whole machine v 0.5 m/s. disturbance performance 31 soil improved 51.59% compared reduced 12.17%. study proved can significantly which effectively cutting loss during process.

Язык: Английский

Процитировано

0

Numerical modelling on the ultra-low emission of NOx in hot blast stove-parametric study, optimization, mechanism, and solutions DOI

Deyu Yue,

Zhong Li,

Guangchao Wei

и другие.

Powder Technology, Год журнала: 2025, Номер unknown, С. 121041 - 121041

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Multiresponse optimization of DEM Elasto-plastic model for soil-to-bulldozer blade interaction DOI
Mohamed A.A. Abdeldayem, Mehari Z. Tekeste

Powder Technology, Год журнала: 2025, Номер unknown, С. 121056 - 121056

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

MULTIPLE PARAMETER OPTIMIZATION OF A LICORICE HARVESTER BASED ON ENSEMBLE MACHINE LEARNING AND IMPROVED GENETIC ALGORITHM DOI Open Access

Jinyu Song,

Yonglei LI,

X. Zheng

и другие.

INMATEH Agricultural Engineering, Год журнала: 2025, Номер unknown, С. 669 - 679

Опубликована: Апрель 28, 2025

Optimizing parameters is a crucial step in designing mechanical structures and primary means of raising equipment efficiency. This paper proposes multi-parameter optimization technique that combines an improved genetic algorithm(IGA) ensemble machine learning(EML)to optimize licorice harvester's work structure parameters. The EML model trained using small sample dataset built on the coupled DEM-MBD (Multi-body Dynamics Coupled Discrete Element Method) simulation model. impact base learner diversity quantity model's prediction accuracy investigated. Using IGA, harvester are optimized. It also contrasted with conventional response surface model(RSM) parameter techniques. study results show KNN +lightGBM + catBoost as linear meta-learner has R2 0.959, MAE 0.048, RMSE 0.06. In comparison to RSM, EML-IGA reduces resistance by 18.16% specific power consumption 21.33%; Pre-improvement algorithm(PIGA), it 11.36% 11.19%. provides reference for intelligent methods.

Язык: Английский

Процитировано

0

Optimization of involute feed hydrocyclone for enhanced mud removal: Synergistic analysis of flow dynamics and separation efficiency DOI
Jiming Lin,

Juefan Wu,

Jianhong Yang

и другие.

Minerals Engineering, Год журнала: 2025, Номер 229, С. 109376 - 109376

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

0

DEM Study and Field Experiments on Coupling Bionic Subsoilers DOI Creative Commons

Zihe Xu,

Hongyan Qi, Lidong Wang

и другие.

Biomimetics, Год журнала: 2025, Номер 10(5), С. 306 - 306

Опубликована: Май 11, 2025

Subsoiling is an effective tillage method for breaking up the plough pan and reducing soil bulk density. However, subsoilers often encounter challenges such as high draft resistance excessive energy consumption during operation. In this study, claw toes of badger scales pangolin were selected bionic prototypes, based on which coupling designed. The discrete element (DEM) was used to simulate analyze interactions between both standard subsoiler subsoilers. Field experiments conducted validate simulation results. results showed that reduced force by 7.70-16.02% compared at different working speeds. Additionally, disturbance coefficient decreased 5.91-13.57%, bulkiness 2.84-18.41%. field experiment average 11.06% area. validated accuracy DEM This study provides valuable insights designing more efficient

Язык: Английский

Процитировано

0