Development and Evaluation of Mechanical Harvesting of Root Crops and Its Performance Optimization DOI Open Access
Zheng Gong, Yuwan Yang

Published: May 17, 2023

Root crops grow in the soil deeply and bond with closely, which results that process of separation between root becomes most difficult during harvesting processes. In order to harvest efficiently, mechanical has become main developing trend. However, high power damage rate are still occurred when harvester gets touch roots. this paper, we review research development evaluation its performance optimization on past years. The mainly consists initial ground further adhered soil. general, soil-cutting operation sieving mechanism require draught power. And dramatic friction, impact, pressure so on, happen components soil-roots, key reasons lead damage. methods parameters, including digging shovel shape, working conditions, vibration, screening way, is more significant improving performance. But there some limitations application for crops. Future suggested focus break-up cutting soil, insight into interaction roots by different external compression loads, long-term studies verify high-efficiency low-damage performances practical application.

Language: Английский

Experimental research on a propeller blade fertilizer transport device based on a discrete element fertilizer block model DOI
Guibin Chen, Qingjie Wang, Hongwen Li

et al.

Computers and Electronics in Agriculture, Journal Year: 2023, Volume and Issue: 208, P. 107781 - 107781

Published: March 21, 2023

Language: Английский

Citations

10

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

et al.

Computational Particle Mechanics, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Language: Английский

Citations

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

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 832 - 832

Published: March 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.

Language: Английский

Citations

0

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

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110386 - 110386

Published: April 9, 2025

Language: Английский

Citations

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

et al.

Powder Technology, Journal Year: 2025, Volume and Issue: unknown, P. 121041 - 121041

Published: April 1, 2025

Language: Английский

Citations

0

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

Powder Technology, Journal Year: 2025, Volume and Issue: unknown, P. 121056 - 121056

Published: April 1, 2025

Language: Английский

Citations

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

et al.

INMATEH Agricultural Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 669 - 679

Published: April 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.

Language: Английский

Citations

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

et al.

Minerals Engineering, Journal Year: 2025, Volume and Issue: 229, P. 109376 - 109376

Published: May 9, 2025

Language: Английский

Citations

0

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

Zihe Xu,

Hongyan Qi, Lidong Wang

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(5), P. 306 - 306

Published: May 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

Language: Английский

Citations

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

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(8), P. 854 - 854

Published: April 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.

Language: Английский

Citations

0