APPLICATION OF RESPONSE SURFACE METHODOLOGY FOR OPTIMIZING FUEL CONSUMPTION OF A DISK PLOW IN LOAMY SAND SOIL | ||
| Egyptian Journal of Agricultural Research | ||
| Article 11, Volume 94, Issue 4, December 2016, Pages 925-938 PDF (613.49 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejar.2016.153234 | ||
| Author | ||
| ABDALWAHED M. ABOUKARIMA | ||
| Agricultural Engineering Research Institute, Agricultural Research Center, Dokki ,Giza, Egypt. | ||
| Abstract | ||
| Disk plow is considered to be effective tool used for cutting, pulverizing, elevating and inverting furrow slices as primary tillage. Tillage is the most fuel demanding in crop production. Thus, appropriate management and use of modern management techniques are essential to reduce fuel consumption. Thus, the purpose of this study was to determine the optimum conditions for the fuel consumption of a disk plow operating in loamy sand soil using Response Surface Methodology. Initially, values of fuel consumption were produced from field experiments. The fuel consumption data was collected at different factors of plowing speed, plowing depth, disk angle, tilt angle and soil moisture content according to the experimental design which was recommended by Response Surface Methodology of MINITAB software version 16. The coefficient of determination (R2) was 94.967% meaning that the experimental data were acceptable. It was found that the lowest fuel consumption could be optimized at plowing speed of 3.24 km/h, plowing depth of 10.03 cm, disk angle of 40°, tilt angle of 15° and soil moisture content of 6.06% db. The verification value of fuel consumption at the optimum conditions which was determined by the experimental work was 3.25 lit/h. Since the difference between the verification and predicted values was less than 5%, therefore, the optimum conditions for the fuel consumption predicted by MINITAB software Version 16 could be accepted. The model can be used to estimate fuel consumption of a disk plow operating in loamy sand soil within the studied range of the investigated factors. | ||
| Keywords | ||
| RESPONSE SURFACE METHODOLOGY; OPTIMIZING FUEL CONSUMPTION | ||
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