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[해외논문] Development of a Prediction Model for Tractor Axle Torque during Tillage Operation 원문보기

Applied sciences, v.10 no.12, 2020년, pp.4195 -   

Kim, Wan-Soo (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea) ,  Kim, Yong-Joo (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea) ,  Baek, Seung-Yun (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea) ,  Baek, Seung-Min (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea) ,  Kim, Yeon-Soo (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea) ,  Park, Seong-Un (Research and Development Institute, Tongyang Moolsan Co. Ltd., Gongju 32530, Korea)

Abstract AI-Helper 아이콘AI-Helper

In general, the tractor axle torque is used as an indicator for making various decisions when engineers perform transmission fatigue life analysis, optimal design, and accelerated life testing. Since the existing axle torque measurement method requires an expensive torque sensor, an alternative meth...

참고문헌 (47)

  1. Baek Development of a simulation model for an 80 kW-class electric all-wheel-drive (AWD) tractor using agricultural workload J. Drive Control 2020 17 27 

  2. Kim Evaluation of PTO severeness for 78 kW-class tractor according to disk plow tillage and rotary tillage J. Drive Control 2019 16 23 

  3. Kim Analysis of power requirement of 78 kW class agricultural tractor according to the major field operation Trans. Korean Soc. Mech. Eng. A 2019 10.3795/KSME-A.2019.43.12.911 43 911 

  4. Kim Work load analysis for determination of the reduction gear ratio for a 78 kW all wheel drive electric tractor design Korean J. Agric. Sci. 2019 10.7744/kjoas.20190047 46 613 

  5. Park Analysis of load and fuel efficiency of agricultural tractor by gear selection during plow tillage J. Food Agric. Environ. 2013 11 631 

  6. 10.3390/s20092450 Kim, Y.-S., Kim, W.-S., Baek, S.-Y., Baek, S.-M., Kim, Y.-J., Lee, S.-D., and Kim, Y.-J. (2020). Analysis of Tillage Depth and Gear Selection for Mechanical Load and Fuel E ffi ciency of an Agricultural Tractor Using an Agricultural Field Measuring System. Sensors, 20. 

  7. 10.3390/app10082930 Kim, W.-S., Kim, Y.-J., Kim, Y.-S., Baek, S.-Y., Baek, S.-M., Lee, D.-H., Nam, K.-C., Kim, T.-B., and Lee, H.-J. (2020). Development of Control System for Automated Manual Transmission of 45-kW Agricultural Tractor. Appl. Sci., 10. 

  8. 10.3390/s20030912 Kim, Y.S., Kim, T.J., Kim, Y.J., Lee, S.D., Park, S.U., and Kim, W.S. (2020). Development of a real-time tillage depth measurement system for agricultural tractors : Application to the effect analysis of tillage depth on draft force during plow tillage. Sensors, 20. 

  9. Han Severeness of transmission loads of agricultural tractor for rotary operations in poorly drained paddy field J. Biosyst. Eng. 1999 24 293 

  10. ASAE (1999). Agricultural Machinery Management Data (D497.4). ASAE Standards 1999, ASAE. 

  11. Upadhyay Performance of combined offset disc harrow (front active and rear passive set configuration) in soil bin J. Terramechanics 2018 10.1016/j.jterra.2018.04.002 78 27 

  12. Bashford Torque in agricultural tractor axles SAE Trans. 1987 96 610 

  13. Tewari Embedded digital drive wheel torque indicator for agricultural 2WD tractors Comput. Electron. Agric. 2017 10.1016/j.compag.2017.05.007 139 91 

  14. Zoz, F.M., and Grisso, R.D. (2003). Traction and Tractor Performance, ASAE. ASAE Disting. Lect. no. 27. 

  15. Kumar Embedded digital draft force and wheel slip indicator for tillage research Comput. Electron. Agric. 2016 10.1016/j.compag.2016.05.010 127 38 

  16. Brixius, W.W. (1987). Traction Prediction Equations for Bias Ply Tires. ASAE Paper 87-1622, ASAE. 

  17. Artificial Neural Network and stepwise multiple range regression methods for prediction of tractor fuel consumption Meas. J. Int. Meas. Confed. 2011 44 2104 

  18. Bietresato A neural network approach for indirectly estimating farm tractors engine performances Fuel 2015 10.1016/j.fuel.2014.11.019 143 144 

  19. Rohani Development of a prediction model for estimating tractor engine torque based on soft computing and low cost sensors Measurement 2018 10.1016/j.measurement.2018.02.050 121 83 

  20. Elwaleed Net traction ratio prediction for high-lug agricultural tyre J. Terramechanics 2006 10.1016/j.jterra.2004.10.002 43 119 

  21. Roul Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network Biosyst. Eng. 2009 10.1016/j.biosystemseng.2009.09.004 104 476 

  22. Hajiahmad Side slip angle prediction model of an off-road tire on different terrains J. Terramechanics 2014 10.1016/j.jterra.2014.07.003 56 25 

  23. Islam Performance Evaluation of Trenchless Subsurface Drainage Piping Machine J. Biosyst. Eng. 2019 10.1007/s42853-019-00032-y 44 218 

  24. Okyere Analysis of draft force requirement of a compact disc harrow and model development for future predictions J. Biosyst. Eng. 2019 10.1007/s42853-019-00003-3 44 47 

  25. Kheiralla Modelling of power and energy requirements for tillage implements operating in Serdang sandy clay loam, Malaysia Soil Tillage Res. 2004 10.1016/j.still.2003.12.011 78 21 

  26. Lee Computer simulations to maximise fuel efficiency and work performance of agricultural tractors in rotovating and ploughing operations Biosyst. Eng. 2016 10.1016/j.biosystemseng.2015.11.012 142 1 

  27. Upadhyay Specific draft estimation model for offset disc harrows Soil Tillage Res. 2019 10.1016/j.still.2019.03.021 191 75 

  28. Pitla In-field fuel use and load states of agricultural field machinery Comput. Electron. Agric. 2016 10.1016/j.compag.2015.12.023 121 290 

  29. Boon A tractor-mounted, automated soil penetrometer-shearometer unit for mapping soil mechanical properties Biosyst. Eng. 2005 10.1016/j.biosystemseng.2004.12.004 90 381 

  30. Molari Performance of an agricultural tractor fitted with rubber tracks Biosyst. Eng. 2012 10.1016/j.biosystemseng.2011.10.008 111 57 

  31. Esch Tractive performance comparisons between a rubber belt track and a four-wheel-drive tractor Trans. ASAE 1990 10.13031/2013.31446 33 1109 

  32. Yahya Mapping system for tractor-implement performance Comput. Electron. Agric. 2009 10.1016/j.compag.2009.06.010 69 2 

  33. Kim Strength analysis of mechanical transmission using equivalent torque of plow tillage of an 82 kW-class tractor Korean J. Agric. Sci. 2019 10.7744/kjoas.20190048 46 723 

  34. Park, S.U. (2019). Fatigue Life Evaluation of Spiral Bevel Gear of Transmission Using Agricultural Workload of Tractor, Chungnam National University. 

  35. ASABE Standard (2018). Soil Cone Penetrometer (S313.3), ASABE. 

  36. ASABE Standard (2019). Procedures for Using and Reporting Data Obtained with the Soil Cone Penetrometer (EP542.1), ASABE. 

  37. Shafaei Reliable execution of a robust soft computing workplace found on multiple neuro-fuzzy inference systems coupled with multiple nonlinear equations for exhaustive perception of tractor-implement performance in plowing process Artif. Intell. Agric. 2019 2 38 

  38. Rashidi Effect of soil moisture content, tillage depth and operation speed on draft force of moldboard plow Middle East J. Sci. Res. 2013 16 245 

  39. Tewari A device to measure wheel slip to improve the fuel efficiency of off road vehicles J. Terramechanics 2017 10.1016/j.jterra.2016.11.002 70 1 

  40. Kim Effects of gear selection of an agricultural tractor on transmission and PTO load during rotary tillage Soil Tillage Res. 2013 10.1016/j.still.2013.07.013 134 90 

  41. Liao Development of droplet characteristics prediction models for air induction nozzles based on wind tunnel tests Int. J. Agric. Biol. Eng. 2019 12 1 

  42. Slekovec Impact of a region wide antimicrobial stewardship guideline on urinary tract infection prescription patterns Int. J. Clin. Pharm. 2012 10.1007/s11096-012-9606-6 34 325 

  43. Kim An Analysis of Factors Relating to Agricultural Machinery Farm-Work Accidents Using Logistic Regression J. Biosyst. Eng. 2014 10.5307/JBE.2014.39.3.151 39 151 

  44. A caution regarding rules of thumb for variance inflation factors Qual. Quant. 2007 10.1007/s11135-006-9018-6 41 673 

  45. Kroll Impact of multicollinearity on small sample hydrologic regression models Water Resour. Res. 2013 10.1002/wrcr.20315 49 3756 

  46. Basak Regression analysis to estimate morphology parameters of pepper plant in a controlled greenhouse system J. Biosyst. Eng. 2019 10.1007/s42853-019-00014-0 44 57 

  47. Lobaskova, A. (2017). Need Some Fitspiration? Exploring Associations of Self-Construal and Gender Role Beliefs as well as a Mediating Role of Health Consciousness in “Thin and Toned” Social Media Ideal Internalization and Social Appearance Anxiety Outcomes Among Young Adult Fe. [Master’s Thesis, University of Copenhagen]. 

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