Discrete Element Modeling of JLU-H Lunar Highland Simulant DOI

Xumin Sun,

Rui Zhang, Hua Zhang

et al.

Advances in Space Research, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Parametric analysis and numerical optimisation of Jerusalem artichoke vibrating digging shovel using discrete element method DOI
Emmanuel Awuah, Jun Zhou, Zian Liang

et al.

Soil and Tillage Research, Journal Year: 2022, Volume and Issue: 219, P. 105344 - 105344

Published: Feb. 25, 2022

Language: Английский

Citations

39
Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening DOI Creative Commons
Kojo Atta Aikins, Mustafa Üçgül, James B. Barr

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 13(3), P. 541 - 541

Published: Feb. 23, 2023

In agricultural machinery design and optimization, the discrete element method (DEM) has played a major role due to its ability speed up manufacturing process by reducing multiple prototyping, testing, evaluation under experimental conditions. field of soil dynamics, DEM been mainly applied in optimization soil-engaging tools, especially tillage tools furrow openers. This numerical is able capture dynamic bulk behaviour soils soil–tool interactions. review focused on various aspects application simulation opening for tool optimization. Different contact models, particle sizes shapes, calibration techniques determining input parameters research have reviewed. Discrete predictions profiles, disturbed surface failure, loosening, disturbance parameters, reaction forces, types modelled with also highlighted. pool information consolidates existing working approaches used prior studies helps identify knowledge gaps which, if addressed, will advance current dynamics modelling capability.

Language: Английский

Citations

34
Remote Sensing and Geographic Information Systems for Precision Agriculture: A Review DOI Open Access

C P Sangeetha,

Vishnu Moond,

G. Rajesh

et al.

International Journal of Environment and Climate Change, Journal Year: 2024, Volume and Issue: 14(2), P. 287 - 309

Published: Feb. 7, 2024

Precision agriculture aims to optimize crop production and minimise environmental impacts by using information technology, remote sensing, satellite positioning systems, proximal data gathering. This review paper examines current applications future directions of sensing geographic systems (GIS) for precision agriculture. Remote provides on health, soil conditions, water status, yield which can guide variable rate within fields. Satellite aerial platforms allow multispectral hyperspectral imaging vegetation indices analysis, classification, stress detection. GIS technology integrates these layers model map variations, develop prescription maps, analyse spatial relationships. Key research frontiers include high-resolution drone within-field better integration online nutrient monitors, real-time modelling, predictive analytics machine learning. Adoption continues increase with tools greater economic returns realized. provide an integral platform technologies, data-driven decision-making

Language: Английский

Citations

10
Design and experimental research on the counter roll differential speed solid organic fertilizer crusher based on DEM DOI
Guibin Chen, Qingjie Wang,

Dijuan Xu

et al.

Computers and Electronics in Agriculture, Journal Year: 2023, Volume and Issue: 207, P. 107748 - 107748

Published: March 9, 2023

Language: Английский

Citations

17
The impact of ‘T’-shaped furrow opener of no-tillage seeder on straw and soil based on discrete element method DOI
Lei Liu, Xianliang Wang, Xiangcai Zhang

et al.

Computers and Electronics in Agriculture, Journal Year: 2023, Volume and Issue: 213, P. 108278 - 108278

Published: Sept. 26, 2023

Language: Английский

Citations

17
Parameter optimization and disturbance analysis of the film picking device of the chain-type plough layer residual film recovery machine based on DEM-MBD coupling DOI
Weiquan Fang, Xinzhong Wang, Dianlei Han

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 222, P. 109041 - 109041

Published: May 17, 2024

Language: Английский

Citations

8
Methods for reducing the tillage force of subsoiling tools: A review DOI
Xuezhen Wang, Hao Zhou, Shengsheng Wang

et al.

Soil and Tillage Research, Journal Year: 2023, Volume and Issue: 229, P. 105676 - 105676

Published: Feb. 22, 2023

Language: Английский

Citations

15
Development of a dual sideway-share subsurface tillage implement: Part 1. Modeling tool interaction with soil using DEM DOI
Seyed Hasan Hoseinian, Abbas Hemmat, Ali Esehaghbeygi

et al.

Soil and Tillage Research, Journal Year: 2021, Volume and Issue: 215, P. 105201 - 105201

Published: Sept. 28, 2021

Language: Английский

Citations

24
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
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