with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Document Type : Research Article

Authors

1 Department of Biosystems Engineering, School of Agriculture, Shiraz University, Shiraz, Iran

2 Department of Biosystems Engineering, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran

Abstract

Introduction
Due to problems such as water resources constraints, poor soil and soil organic matter, and the problems related conventional tillage, the attention paid to protective tillage equipment should be taken into consideration by farmers. Today, agricultural machinery designers and manufacturers are looking for ways to resolve the problems due to the lack of water and soil resources and the reduction in fuel resources. One of these solutions is the optimization of agricultural machinery. The blade is one of the most important consumed components of tillage tools, which is very important for how it is adjusted and its effect on soil. According to research conducted on the importance of optimizing tillage implements, this study was carried out with the aim of optimizing the operating conditions for combined tillage with a new narrow blade.
Materials and Methods
The tests were taken place in the 10th section of farms in Agriculture school (Bajgah zone) of Shiraz University. Those tests were arranged as the split-split plot based on a completely randomized design. The treatments included the tillage depth, tilt angle and forward speed. The levels for the tillage depth, tilt angle and forward speed were 15, 20 cm and 0, 10, 15, 20, 25 degree and 3, 4, 5 km h-1 respectively. The experiments were performed in three replications. The test variables were draft, soil upheaving and disturbance areas, specific draft, fuel consumption and tractor wheel slippage. The CK 45 steel was used to make blades. The blades were made of the same dimensions and the difference between the blades was only at their tilt angle. Before starting the field tests, some properties of soil such as soil moisture content, soil texture and soil bulk density were measured. The RNAM test code was then used for measuring the draft force. The encoder and the fifth wheel were also employed to measure the slippage. For measuring the fuel consumption, two flow meters were used in the round way. The profilometer was applied for measuring the soil upheaving and disturbance areas. The specific draft was also computed. The data analysis was performed by SAS software (9.4 edition). Multiple regression method was used for modeling the desired treatments.
Results and Discussion
The results of multivariate regression method for optimizing forward speed, tillage depth and tilt angle for the blades including winged were 3.3 km h-1, 20 cm and 25°, respectively, and for the non-winged, 3.5 km h-1, 20 cm and 24.8°. Providing the tilt angle on the blade surface is considered as an innovation in this research, therefore, it can be seen from the results that with increasing this angle, the draft of the tillage was decreased. This could be due to the increased surface of the blade in the face of the soil on the diagonal surface. This increase was proportional to the cosine tilt angle at the initial surface of the blade. Therefore, the shear strength of the soil was decreased with increasing of this surface and ultimately decreased the amount of draft of the tillage. This variable had a significant difference with the depth of tillage and the forward speed of tractor and fuel consumption for the winged new narrow blade. Although the interactions of the above mentioned variables on the fuel consumption for the new blade condition were not significantly different, the minimum fuel consumption for the non-winged blade condition was also obtained at the same tilt angle as the winged new blade. In general, considering all of factors, the 25 degree inclination angle was proposed for both conditions. The interaction of this factor (tilt angle) on the wheel slip rate was also significant. The effect of the angle of inclination for both blades was significant on the slip of the wheel drive, so that the increase in the tilt angle reduced the amount of wheel slip. However, if the amount of slip of the tractor's wheel for an optimum angle of 25° was considered, according to the graph which representing the relationship between tractive efficiency vs. wheel slip and for Cn = 50, the tractive efficiency will be determined by calculation. It should be noted that the tractor's tractive efficiency was equivalent to 82%. This value reflects the effect of the tilt angle on the amount of tractor output power according to the definition of the tractive efficiency of the tractor.
Conclusion
Considering the increasing growth of using combined tillage tools in dry soil and its low moisture content, and considering the necessity of replacing the custom chisel blades with new blades which resistance to the soil reaction forces upon them, the non- winged blades with the tilt angle about 25° for working depth of 20 cm and forward speed of 3.5 km h-1 can increase the tractive efficiency of tractors to 82% and also decrease the fuel consumption by 34% compared to conventional tillage blades.

Keywords

Open Access

©2020 The author(s). This article is licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

1. Akbarnia, A., A. Mohammadi, R. Alimardani, and F. Farhani. 2014. Simulation of draft force of winged share tillage tool using artificial neural network model. Agricultural Engineering International: CIGR Journal 16 (4): 57-65.
2. Al-Suhaibani, S., and A. E. Ghaly. 2010. Effect of plowing depth of tillage and forward speed on the performance of a medium size chisel plow operating in a sandy soil. American Journal of Agricultural and Biological Science.
3. Azimi Zadeh, Z. 2017. Development and evaluation of a narrow blade for improving combined tillage tool performance. School of Agriculture. Shiraz University, Shiraz. Iran. (In Farsi).
4. Bilgili, M., and B. Sahin. 2010. Comparative analysis of regression and artificial neural network models for wind speed prediction. Meteorology and Atmospheric Physics 109 (1): 61-72.
5. Garner, T., W. Reynolds, H. Musen, G. Miles, J. Davis, D. Wolf, and U. Peiper. 1987. Energy requirement for subsoiling coastal plain soils. Transactions of the ASAE, 30 (2): 343-0349.
6. Harrison, H. P., and Z. J. Licsko. 1989. Soil reacting forces for models of three bent-leg plows. Soil and Tillage Research 15 (2): 125-135.
7. Hosseini, M., S. A. Movahedi Naeini, A. A. Dehghani, and Y. Khaledian. 2016. Estimation of soil mechanical resistance parameter by using particle swarm optimization, genetic algorithm and multiple regressions. Soil and Tillage Research 157: 32-42.
8. Ibrahmi, A., H. Bentaher, E. Hamza, A. Maalej, and A. Mouazen. 2015. Study the effect of tool geometry and operational conditions on moldboard plough forces and energy requirement: Part 2. Experimental validation with soil bin test. Computers and Electronics in Agriculture 117: 268-275.
9. Ismail, W., W. Ishak, and T. Burkhardt. 1993. Draft and fuel requirements measurement using tractor on-board data acquisition system. Pertanika Journal of Science & Technology 1 (1): 51-64.
10. Jafari, R., S. H. Karparvarfard, and S. A. Hosseini. 2011. The Effect of Geometry and Motion Characteristics of Narrow Tillage Tool on Soil Disturbance Efficiency. Tarım Makinaları Bilimi Dergisi 7 (3).
11. Kheiralla, A. F., A. Yahya, M. Zohadie, and W. Ishak. 2004. Modeling of power and energy requirements for tillage implements operating in Serdang sandy clay loam in Malaysia. Soil and Tillage Research 78: 21-34.
12. Kotu, V., and B. Deshpande. 2015. Concepts and Practice with Rapid miner. PP 165-193 in M. Kaufmann. Eds. Predictive Analytics and Data Mining. E-Publishing Inc., San Francisco.
13. Liu, J., and R. Kushwaha. 2006. Modeling of soil profile produced by a single sweep tool. Agricultural Engineering International: The CIGR Journal 7 (1): 1-13.
14. Manuwa, S. 2009. Performance evaluation of tillage tines operating under different depths in a sandy clay loam soil. Soil and Tillage Research 103 (2): 399-405.
15. Majidi-Iraj, H., and M. H. Raoufat. 1997. Power requirement of a bent leg plow and its effects on soil physical conditions. Iran Agricultural Research 16 (1): 1-16.
16. Mckyes, E. 1985. Soil cutting and tillage. Development in agricultural engineering. vol. 7. Elsevier. Amsterdam.
17. Melero, S., R. Lopez-Garrido, J. M. Murillo, and F. Moreno. 2009. Conservation tillage: Short-and long-term effects on soil carbon fractions and enzymatic activities under Mediterranean conditions. Soil and Tillage Research 104 (2): 292-298.
18. Mehrijani, M., J. Khodaei, and S. Zareei. 2018. Modeling and optimizing of the energy consumption of moldboard plow using Response Surface Methodology (RSM). Journal of Agricultural Machinery 9 (1): 167-176. (In Farsi).
19. Moitzi, G., H. Wagentristl, K. Refenner, H. Weingartmann, G. Piringer, J. Boxberger, and A. Gronauer. 2014. Effects of working depth and wheel slip on fuel consumption of selected tillage implements. Agricultural Engineering International: The CIGR Journal 16(1): 182-190.
20. Raheman, S., and Y. Chen. 2001. Laboratory investigation of cutting forces and soil disturbance resulting from different manure incorporation tools in a loamy sand soil. Soil and Tillage Research 58 (1): 19-29.
21. Rahmanian-Koushkaki, H., S. H. Karparvarfard, and A. Mortezaei. 2015. The effect of the operational characteristics of the tractor composite electronic measurement system by the standards of emotion on the performance of chisel plows in a clay loam soil. Agricultural Engineering International: The CIGR Journal. 17 (1): 44-49.
22. Rahmatian, M., S. H. Karparvarfard, and M. A. Nematollahi. 2018. Prediction for optimizing performance of chisel blade used in combined tillage to obtain suitable effectiveness. Iranian Journal of Biosystem Engineering 49 (1): 73-82. (In Farsi).
23. Rowe, R., and K. Barnes. 1961. Influence of speed on elements of draft of a tillage tool.
24. Salar, M. R., A. Esehaghbeygi, and A. Hemmat. 2013. Soil loosening characteristics of a dual bent blade subsurface tillage implement. Soil and Tillage Research 134: 17-24.
25. Salar, M. R., and S. H. Karparvarfard. 2017. Modeling and optimization of wing geometry effect on draft and vertical forces of winged chisel plow. Journal of Agricultural Machinery 7 (2): 468-479. (In Farsi).
26. Sahu, R. K., and H. Raheman. 2006. An approach for draft prediction of combination tillage implements in sandy clay loam soil. Soil and Tillage Research 90 (1): 145-155.
27. Solhjou, A., J. M. Fielke, and J. M. Desbiolles. 2012. Soil translocation by narrow openers with various rake angles. Biosystems Engineering 112 (1): 65-73.
28. Shafaei, S. M., M. Loghavi, and S. Kamgar. 2018. On the neurocomputing based intelligent simulation of tractor fuel efficiency parameters. Information Processing in Agriculture 5 (2): 205-223.
29. Spoor, G., and R. J. Godwin. 1978. An experimental investigation into the deep loosening of soil by rigid tines. Agricultural Engineering Research 23: 243-258.
30. Spoor, G., and R. K. Fry. 1983. Soil disturbance generated by deep working low rake angle narrow tines. Agricultural Engineering Research 28: 217-234.
31. Wismer, R. D., and H. J. Luth. 1974. Off-Road traction prediction for wheeled vehicles. Transactions of the ASAE, Presented as ASAE Paper No. 72-619. pp. 8-14.
32. Wolf, D., T. H. Garner, and J. W. Davis. 1981. Tillage mechanical energy input and soil crop response. Transactions of the ASAE, 24 (6): 1412-1419.
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