MODELING AND OPTIMIZATION OF DRAWBAR POWER NECESSITIES OF DISC PLOUGH IN SANDY-CLAY SOIL IN SOUTH-EAST NIGERIA.

Autor: ODUMA, Okechukwu, OKEKE, Chineze Glory, EHIOMOGUE, Precious, AGU, Chukwulebile Soter
Předmět:
Zdroj: Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering; May2023, Vol. 21 Issue 2, p91-97, 7p
Abstrakt: The incongruities between agro-ecological soil states demand statistical records of the performance of tillage equipment under various soil classifications for proper choice of implements to lessen cost, curtail energy loss, and upsurge agricultural output. This study was conducted to model and optimize the drawbar power requirements of disc plough on sandy-clay soil in South - East Nigeria that will help farmers predict the power requirements and detect the optimum value of power demand of the plough in order to select apposite plough subject to the soil type for proficient and bravura productions. Results showed that the highest drawbar power of 5.42kW was achieved when the plough was engaged at full working width of 180 cm, at tillage depth of 15 cm and least operational speed of 6km/hr. The statistical analyses carried out, revealed that tillage depth and operational speed has significant effect (p< 0.05) on the drawbar power of the disc plough as compared to the effective working width of the plough. The quadratic model was statistically significant for the response (P < 0.05). Results also pointed out that the coefficient of determination; R² was 0.9759 for drawbar power, which indicated high correlations amid the factors. The adequacy Precision of 19.912 obtained indicated decorous indicator and that the models could navigate the design space. The optimum drawbar power of 4.95kW was achieved with the desirability of 1.000 at optimal effective working width of 119.06 cm, ploughing depth of 13.71 cm and operational speed of 7.74kmh-1. Farmers can henceforth, appraise and select the disc plough implements with the developed model equation. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index