Optimization of Some Operational Parameters to Improve Tractor Fuel Usage Efficiency

Abstract

General Full Factorial Design (GFFD) methodology was used to optimize tractor fuel usage during ridging operations. The study assesses how fuel consumption per ridged area is affected by two important operational parameters: tractor forward speed and ridge height. A 72-hp tractor and a 6-disc ridger were used in the field tests, and a DFM 100CD fuel flow meter was used to gather data in order to guarantee accurate fuel measurement. Three forward speeds (5 km/h, 7 km/h, and 9 km/h) and three ridge heights (0.10 m, 0.20 m, and 0.30 m) were systematically evaluated; each combination was reproduced to guarantee statistical reliability. MINITAB 19 software was used for the statistical analysis and experimental design. ANOVA, main and interaction effects, residual diagnostics, multiple linear regression modelling, and model adequacy checks were among the analyses. The results showed that fuel consumption is greatly influenced by both forward speed and ridge height, with the lowest value (6.27 L/ha) recorded at a forward speed of 5 km/h and ridge height of 0.10 m. With r², adjusted r², and predicted r² all hitting 100%, the created regression model demonstrated exceptional prediction performance, demonstrating the model's dependability. These conclusions were supported by optimization analysis employing composite desirability functions, which also offered a statistically sound framework for making decisions. According to the study's findings, choosing operational parameters to improve fuel efficiency in agricultural field operations can be successfully guided by GFFD