https://doi.org/10.4081/jae.2025.1610
Prediction model of PTO shaft fatigue damage considering sandy loam and loam in rotary-tillage operation
Published: 24 January 2025
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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In this study, the fatigue damage to a power takeoff (PTO) shaft was evaluated under various operating conditions in rotary-tillage operations, considering soil strength and texture. Pearson correlation analysis was conducted to identify the significant variables influencing PTO shaft fatigue damage, and a prediction formula was derived through regression analysis using these variables. The PTO shaft exhibited increased shear stress with higher transmission gear stages, PTO gear stages, or soil properties, including strength and texture. The fatigue damage increased with higher transmission gear stages and soil strength while decreasing with higher PTO gear stages. Notably, as the PTO gear stage increased, the mean stress increased; however, the stress amplitude and equivalent completely reversed stress significantly reduced fatigue damage. Statistical analyses revealed a strong correlation between PTO shaft fatigue damage and factors such as tractor travel speed, PTO shaft power consumption, PTO shaft rotational speed properties, including strength and texture. The developed prediction equation, incorporating all significant variables, demonstrated, with a coefficient of determination (R²) of 0.93 and a root mean square error (RMSE) of 2.94×10-9. This equation effectively identifies trends in PTO shaft fatigue damage based on key operational variables. Furthermore, the findings emphasize the critical role of soil texture in assessing PTO shaft fatigue damage.
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Supporting Agencies
Innovative Human Resource Development for Local Intellectualization program through the Institute of Information & Communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) (IITP-2024-RS-2023-00260267, 50), Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry(IPET) through Machinery Mechanization Technology Development Program for Field Farming Program, grant funded by Ministry of Agriculture, Food and Rural Affairs(MAFRA)(RS-2023-00235957, 50)How to Cite
Jang, M.-K. (2025) “Prediction model of PTO shaft fatigue damage considering sandy loam and loam in rotary-tillage operation”, Journal of Agricultural Engineering. doi: 10.4081/jae.2025.1610.
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