Prediction of tractor drive tire slippage under different inflation pressures

Janulevičius, Algirdas; Damanauskas, Vidas

doi:10.1016/j.jterra.2022.03.001

Cited by 11 publications

(2 citation statements)

References 36 publications

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“…According to information in the Figure 6, it can be concluded that augmentation of tire air pressure from 20.68 to 55.16 kPa led to noteworthy change of the power loss from the lowest (89.18 W) to the highest value (123.58 W) by 38.57%. Lower contact area between the wheels and the non‐deformable terrain at higher tire air pressure (Farhadi et al, 2019; Janulevicius & Damanauskas, 2022; Kumar & Dewangan, 2004; Kumar et al, 2018; Mohsenimanesh & Lague, 2017; Mohsenimanesh & Ward, 2010; Raper et al, 1995; Schwanghart, 1991; Sharma & Pandey, 1996; Taghavifar & Mardani, 2013, 2014b, 2014c; Wong & Huang, 2006; Xia, 2011) results in lower traction forces generated by the wheels for the robot mobilization. These improper robot mobilization conditions lead to augmentation of wheel slippage.…”

Section: Resultsmentioning

confidence: 99%

Characterization of motion power loss of off‐road wheeled robot in a slippery terrain

Shafaei

Mousazadeh

2022

Journal of Field Robotics

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For the first time in realm of power study of off‐road wheeled robots, this study deals with motion power loss due to slippage of robot wheels traversed on slippery terrain. For this purpose, effects of slippery terrain type (solid balls with diameter of 0.0127, 0.0254, and 0.0508 m), tire air pressure (20.68, 34.47, and 55.16 kPa), and robot forward speed (0.17, 0.33, and 0.5 m/s) on the power loss were characterized. Derived results proved that the increasing effect of slippery terrain type on the power loss was dominant (1.08 and 3.21 times) than that of robot forward speed and tire air pressure, respectively. Meanwhile, the increasing effect of robot forward speed on the power loss was prevailed (2.98 times) than that of tire air pressure. Hence, to minimize the power loss of the robot traversed on each type of slippery terrain, adjustment of robot forward speed should be considered as first priority. A comparison between motion power loss (43.60–249.40 W) and provided motion power for the robot (136–436.37 W) implies that 12.93–75.44% of provided motion power was wasted by slippage of the robot wheels on slippery terrains. Overall, the analytical results obtained in this study lead to open a new prospection for comprehending of the power loss trends of off‐road wheeled robots traversed on slippery terrains. As slippery terrain composed of solid balls, the results can be especially utilized for final phase of unloading robotic operations of catalyst handling procedure in process towers and reactors of oil, gas, petrochemical, and chemical industries.

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Section: Resultsmentioning

confidence: 99%

Characterization of motion power loss of off‐road wheeled robot in a slippery terrain

Shafaei

Mousazadeh

2022

Journal of Field Robotics

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“…In response to these circumstances, scientists need to work with farmers to develop technologies that increase the fuel efficiency of self-propelled agricultural machinery and reduce emissions. Researchers from different countries [2][3][4][5][6][7] conducted various field experiments in different soil conditions and found that with the correct selection of engine operating mode, transmission drive, and correct adjustment of the tire inflation pressure, the size of the ballast mass, and the distribution of the tractor's weight on the axles, fuel consumption during ploughing could be reduced by 10-45%. Over time, more attention has been paid to the performance of agricultural machinery, and the ability to simulate field time has accelerated due to improvements in technology and simulation methods.…”

Section: Introductionmentioning

confidence: 99%

Validation of Criteria for Predicting Tractor Fuel Consumption and CO2 Emissions When Ploughing Fields of Different Shapes and Dimensions

Damanauskas,

Janulevičius

2023

AgriEngineering

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Climate change is linked to CO2 emissions, the reduction of which has become a top priority. In response to these circumstances, scientists must constantly develop new technologies that increase fuel efficiency and reduce emissions. Agriculture today is dominated by arable fields of various sizes, shapes, and dimensions, and to achieve fuel economy and environmental impact requirements, it is not enough to know only the principles of optimization of tillage processes; it is also necessary to understand the influence of field size and its shape and dimensions on tillage performance. The purpose of this research is to present a methodology that allows predicting tractor fuel demand and CO2 emissions per unit of ploughed area when ploughing field plots with different shapes and dimensions and to confirm a suitable variable for such a prediction. Theoretical calculations and experimental tests have shown that the field ploughing time efficiency coefficient is a useful metric for comparing field plots of different shapes and dimensions. This coefficient effectively describes tractor fuel consumption and CO2 emissions during ploughing operations on differently configured field plots. A reasonable method for calculating the real field ploughing time efficiency coefficient is based on field and tillage data and a practical determination method using tractor engine load reports. It was found that during the research, when ploughing six field plots of different shapes and dimensions, with an area of 6 ha, the field ploughing time efficiency coefficient varied from 0.68 to 0.82, and fuel consumption between 15.6 and 16.5 kg/ha. In the field plot of 6 ha, where the field ploughing time efficiency coefficient was 15% higher, the fuel consumption per unit area was lower by about 5.5%. The results of this study will help to effectively predict tillage time and tractor fuel consumption required for different field shapes and dimensions.

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Amelioration of Energy Dissipation Through Robotic Evacuation Process of Solid Bulk Materials: Effectiveness of Wheel Slip Control System

Shafaei

Mousazadeh

2022

Arab J Sci Eng

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Prediction of tractor drive tire slippage under different inflation pressures

Cited by 11 publications

References 36 publications

Characterization of motion power loss of off‐road wheeled robot in a slippery terrain

Characterization of motion power loss of off‐road wheeled robot in a slippery terrain

Validation of Criteria for Predicting Tractor Fuel Consumption and CO2 Emissions When Ploughing Fields of Different Shapes and Dimensions

Amelioration of Energy Dissipation Through Robotic Evacuation Process of Solid Bulk Materials: Effectiveness of Wheel Slip Control System

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