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  1. 50 大学院生物資源学研究科・生物資源学部
  2. 50D 学位論文
  3. 博士論文 本文
  4. 2025年度

Optimization of Agricultural Tire Traction on Diverse TerrainsThrough Numerical and Semi-Empirical Modeling

http://hdl.handle.net/10076/0002001653
http://hdl.handle.net/10076/0002001653
75ba0f27-af3d-43bd-9aa4-30690b7b8da6
名前 / ファイル ライセンス アクション
2025DB0908.pdf 2025DB0908.pdf (2.71 MB)
アイテムタイプ 学位論文 / Thesis or Dissertation(1)
公開日 2025-12-10
タイトル
タイトル Optimization of Agricultural Tire Traction on Diverse TerrainsThrough Numerical and Semi-Empirical Modeling
言語 en
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_db06
資源タイプ doctoral thesis
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 Ally, Halidi

× Ally, Halidi

en Ally, Halidi
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著者（ヨミ）
姓名 アリー, ハリディ
言語 ja-Kana
抄録
内容記述タイプ Abstract
内容記述 Agricultural wheeled vehicles are fundamental to modern farming, playing a critical role in enhancing productivity, reducing manual labor, and improving operational efficiency. However, their performance is highly dependent on the interaction between tires and soil,which directly influences traction, motion resistance, and soil compaction. The ability of a tire to generate sufficient traction while minimizing energy losses is crucial in optimizing agricultural machinery efficiency and reducing the negative impact on soil structure. Traction performance is governed by multiple factors, including tire tread design, terrain characteristics, and external loading conditions. A thorough understanding of these interactions is essential to developing tire designs that maximize performance across diverse agricultural terrains. This dissertation presents an in-depth numerical and semi-empirical investigation into the key parameters affecting agricultural tire traction, with a particular focus on lug design, terrain variability, and tire load effects.
The study employs Finite Element Analysis (FEA) in ANSYS to simulate tire-soil interactions and utilizes the semi-empirical Wong and Preston-Thomas tire model to analyses the traction performance. The research systematically evaluates three core traction-influencing domains: tire design, terrain characteristics, and external loading conditions. Key tire parameters such as lug angle and lug spacing are examined to determine their effects on traction force, thrust generation, and motion resistance. The study also investigates how soil properties, particularly in clay soils, influence the ability of a tire to generate traction and the extent to which terrain variability alters performance. Additionally, the impact of tire load on soil stress distribution and energy dissipation is assessed to identify optimal loading conditions for efficient traction.
To eliminate the influence of tire material properties and focus solely on tread geometry, the study utilizes a steel-based tire model. This approach ensures that the observed traction effects result purely from lug configurations and their interaction with the soil rather than from material deformation. The tire-soil contact mechanics are simulated using the Mohr-Coulomb soil material model, which accurately represents soil deformation and failure behaviors under various loading conditions. The integration of numerical results into the Wong and Preston-Thomas tire model provides a broader framework for evaluating traction performance across different terrains, ensuring that the study’s findings are applicable beyond the specific conditions modeled in the simulations.
The findings reveal that the lug angle plays a significant role in determining traction efficiency, with a 45° lug angle offering the best balance between increased thrust and reduced motion resistance. Lug spacing is also a critical factor, as intermediate spacing between 110 mm and 130 mm is found to optimize traction by maximizing thrust while preventing excessive sinkage. The study further highlights the strong influence of soil composition and moisture content on traction performance. Certain clay soil compositions present higher motion resistance and lower thrust generation, making them less favorable for efficient traction. Additionally, increasing the tire load enhances traction up to a critical threshold, beyond which excessive soil deformation and energy losses reduce overall efficiency. The research demonstrates that energy losses due to soil displacement and stress propagation beneath the tire are directly influenced by lug configurations, suggesting that well-optimized lug designs can significantly improve traction while reducing fuel consumption.
This study provides a systematic framework for designing agricultural tires optimized for specific terrains and operational requirements. The results offer practical insights for tire manufacturers, agricultural engineers, and farmers, facilitating the development of traction-enhanced tires tailored to real-world farming conditions. The research also underscores the importance of sustainable soil management in mechanized farming, as excessive traction forces can lead to increased soil compaction, which negatively impacts soil aeration, water retention, and long-term crop yields. By enhancing traction efficiency while minimizing soil degradation, optimized tire designs contribute to both economic and environmental sustainability in agriculture.
By integrating advanced FEA simulations with semi-empirical modeling, this dissertation bridges the gap between theoretical modeling and practical applications, ensuring that the findings are relevant to real-world agricultural operations. The study contributes to the field of terramechanics by offering a deeper understanding of how tire design parameters influence traction performance under varying soil conditions. Future research should focus on experimental validation of simulation results using physical tire-soil interaction testing. Additionally, extending the study to include sandy loam soils and other terrain types would provide a more comprehensive assessment of traction performance across different agricultural environments. The potential for adaptive tire designs that dynamically adjust lug spacing based on terrain variability presents another promising direction for further optimization of traction performance.
In conclusion, this dissertation presents an analysis of traction performance in agricultural tires. Through a combination of numerical modeling and semi-empirical analysis, the study identifies optimal lug configurations for improving traction efficiency, reducing motion resistance, and minimizing energy losses in clay soils. The findings contribute to advancements in agricultural tire design, providing essential guidelines for enhancing tractor mobility, fuel economy, and soil sustainability in modern farming. By optimizing tire-soil interactions, this research supports the development of more efficient and environmentally responsible agricultural machinery, ultimately promoting sustainable and productive farming practices.
言語 en
内容記述
内容記述タイプ Other
内容記述 本文/Graduate School of Bioresources, Mie University, Tsu, Japan
内容記述
内容記述タイプ Other
内容記述 102p
書誌情報
発行日 2025-09-25
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
その他の言語のタイトル
その他のタイトル 数値的および半経験的モデルによる多様な地形での農業用タイヤの牽引力の最適化
言語 ja
出版者
出版者 三重大学
出版者（ヨミ）
値 ミエダイガク
学位名
学位名 博士(学術)
学位授与機関
学位授与機関識別子Scheme kakenhi
学位授与機関識別子 14101
学位授与機関名 三重大学
学位授与年月日
学位授与年月日 2025-09-25
学位授与番号
学位授与番号 甲学術第2348号
資源タイプ（三重大）
値 Doctoral Dissertation / 博士論文
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