Improving Agricultural Tire Traction Performance Through Finite Element Analysis and Semi-Empirical Modeling DOI Creative Commons

Halidi Ally,

Xiulun Wang,

Tingting Wu

et al.

Eng—Advances in Engineering, Journal Year: 2025, Volume and Issue: 6(4), P. 63 - 63

Published: March 25, 2025

Optimizing agricultural tire traction is essential for improving field efficiency and minimizing soil degradation. This study examines the influence of lug spacing vertical load on performance using Finite Element Analysis (FEA) in ANSYS semi-empirical Wong Preston-Thomas model. Simulations were conducted clay under loads 35 kN, 45 55 with varying spacings. The results indicate that a 130 mm provides best balance between traction, thrust, motion resistance. Higher intensify compaction, leading to reduced thrust generation at kN despite decreased These findings emphasize importance optimizing configurations enhance while mitigating compaction. contributes designs machinery, promoting sustainability management.

Language: Английский

Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices DOI Creative Commons
Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(3), P. 75 - 75

Published: March 10, 2025

Enhancing agricultural machinery field efficiency offers substantial benefits for farm management by optimizing the available resources, thereby reducing cost, maximizing productivity, and supporting sustainability. Field is influenced several unpredictable stochastic factors that are difficult to determine due inherent variability in configurations operational conditions. This study aimed simplify estimation training machine learning regression algorithms on data generated from a information system covering combination of different areas shapes, working patterns, machine-related parameters. The gradient-boosting regression-based model was most effective, achieving high mean R2 value 0.931 predicting efficiency, taking into account only basic geometric indices. developed showed also strong predictive performance indicative fields located Europe North America, considerably computational time an average 73.4% compared corresponding analytical approach. Overall, results this highlight potential simplifying prediction without requiring detailed knowledge plethora variables associated with operations. can be particularly valuable farmers who need make informed decisions about resource allocation planning.

Language: Английский

Citations

1
Radioactive Remnants to Renewable Resources: A Comprehensive Review of Nuclear Waste Conversion to Biodiesel DOI

D. Christopher Selvam,

Yuvarajan Devarajan,

Thirumalaiswamy Raja

et al.

Chemistry Africa, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

1
The Bio Steel Cycle Meets Indoor Farming - CCUS with the SusCiP Principle in Agriculture DOI Creative Commons
Sandra Kiessling

Advances in Environmental and Engineering Research, Journal Year: 2025, Volume and Issue: 06(01), P. 1 - 18

Published: Jan. 15, 2025

The World climate is changing, with a great impact on global food production systems. Extreme weather events, floods, wildfires and draughts are phenomena of disrupted previously stable natural patterns, which vital for crop animal husbandry alike. Most the World’s produced in temperate climatic zones rich arable land those affected by increasing unpredictability naturally occurring seasons conditions. This work aims to provide possible sustainable solution challenges under pressures change. Changing methods moving indoor agriculture poses immense opportunities at same time. Technical solutions currently researched explored innovators, governments industry leaders developed Bio Steel Cycle can be seen as nucleus other industries, including production, could starting point new standard all systems: SusCip principle.

Language: Английский

Citations

0
Improving Agricultural Tire Traction Performance Through Finite Element Analysis and Semi-Empirical Modeling DOI Creative Commons

Halidi Ally,

Xiulun Wang,

Tingting Wu

et al.

Eng—Advances in Engineering, Journal Year: 2025, Volume and Issue: 6(4), P. 63 - 63

Published: March 25, 2025

Optimizing agricultural tire traction is essential for improving field efficiency and minimizing soil degradation. This study examines the influence of lug spacing vertical load on performance using Finite Element Analysis (FEA) in ANSYS semi-empirical Wong Preston-Thomas model. Simulations were conducted clay under loads 35 kN, 45 55 with varying spacings. The results indicate that a 130 mm provides best balance between traction, thrust, motion resistance. Higher intensify compaction, leading to reduced thrust generation at kN despite decreased These findings emphasize importance optimizing configurations enhance while mitigating compaction. contributes designs machinery, promoting sustainability management.

Language: Английский

Citations

0