Performance modelling and optimization of disc angle and tractor speed for a disc ridger in loamy soil using RSM

Ridging has been identified as a mechanized substitute for flat-land form and mounding in the cultivation of root and tuber crops. Manual ridging imposes high drudgery, consumes time and limits production scale. Therefore, mechanized ridging is necessary to improve efficiency, reduce cost and enable large-scale production. In this study, performance modelling and operational optimization of disc angle and tractor speed for a double-row disc ridger were established using CCRD in RSM. Quadratic models generated by RSM were used to predict optimum draught, wheel-slip and fuel consumption while maximizing cutting-depth and cutting-width. The results show that the ridger achieved optimum performance at 42.50 disc angle and 7.5 km/h tractor speed with a constant tilt angle of 25°. The regression model predicted optimal fuel consumption of 8.13 l/ha, 7.8 kN draught force, 2.8% wheel-slip, 29 cm depth and 277 cm width of cut, at the predicted disc angle and speed. The optimization analysis suggests that an increased disc angle and speed resulted in increased draught, fuel consumption, wheel-slip and cutting width and depth. To maximize operating efficiency, it is advised that ridging operations at the study site be conducted at the designated optimal speed and disc angle.

Publication Details

Journal
AgEcon Search (University of Minnesota, USA)
Published
2025-01-01
DOI
https://doi.org/10.22004/ag.econ.359322
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
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article

Performance modelling and optimization of disc angle and tractor speed for a disc ridger in loamy soil using RSM

AgEcon Search (University of Minnesota, USA)
Soil Mechanics and Vehicle Dynamics
article

Performance modelling and optimization of disc angle and tractor speed for a disc ridger in loamy soil using RSM

article en

Abstract

Ridging has been identified as a mechanized substitute for flat-land form and mounding in the cultivation of root and tuber crops. Manual ridging imposes high drudgery, consumes time and limits production scale. Therefore, mechanized ridging is necessary to improve efficiency, reduce cost and enable large-scale production. In this study, performance modelling and operational optimization of disc angle and tractor speed for a double-row disc ridger were established using CCRD in RSM. Quadratic models generated by RSM were used to predict optimum draught, wheel-slip and fuel consumption while maximizing cutting-depth and cutting-width. The results show that the ridger achieved optimum performance at 42.50 disc angle and 7.5 km/h tractor speed with a constant tilt angle of 25°. The regression model predicted optimal fuel consumption of 8.13 l/ha, 7.8 kN draught force, 2.8% wheel-slip, 29 cm depth and 277 cm width of cut, at the predicted disc angle and speed. The optimization analysis suggests that an increased disc angle and speed resulted in increased draught, fuel consumption, wheel-slip and cutting width and depth. To maximize operating efficiency, it is advised that ridging operations at the study site be conducted at the designated optimal speed and disc angle.

AgEcon Search (University of Minnesota, USA)
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Soil Mechanics and Vehicle Dynamics
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Performance modelling and optimization of disc angle and tractor speed for a disc ridger in loamy soil using RSM · AgEcon Search (University of Minnesota, USA) (2025) | TGRS Research Map | TGRS