Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility

Taghavifar, Hamid; Mardani, Aref; Karim-Maslak, Haleh

doi:10.1016/j.energy.2014.06.081

Cited by 25 publications

(5 citation statements)

References 17 publications

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“…In domain of power loss of motion system, wheel slippage of the system has been frequently addressed by many previous researches (Farhadi et al, 2020;Gao et al, 2015;Onafeko, 1969;Taghavifar et al, 2015;Yong, 1973;Yong, 1976;Yong & Fattah, 1976;Yong & Foda, 1990;Yong et al, 1972Yong et al, , 1978Yong et al, , 1980Yong et al, , 1984 as effective parameter for motion power loss. Moreover, wheel motion resistance force of the system has been frequently mentioned by other previous researches (Chang & Cooper 1969;Shafaei et al, 2021aShafaei et al, , 2021bTaghavifar & Mardani, 2014a;Taghavifar et al, 2014) as another effective parameter for motion power loss. Therefore, the second term in the Equation (2) (power loss) can be expanded for motion system of the robot in following Equation (3).…”

Section: Theoretical Principlesmentioning

confidence: 97%

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: Theoretical Principlesmentioning

confidence: 97%

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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“…e parameters signi cantly in uencing the performance of drive wheels include the tire in ation pressures, wheel slip, and vertical wheel loads [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions

2020

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Considering the fuel consumption and soil compaction, optimization of the performance of tractors is crucial for modern agricultural practices. The tractive performance is influenced by many factors, making it difficult to be modeled. In this work, the traction force and tractive efficiency of a low-power tractor, as affected by soil coefficient, vertical load, horizontal deformation, soil compaction, and soil moisture, were studied. The optimal work of a tractor is a compromise between the maximum traction force and the maximum tractive efficiency. Optimizing these factors is complex and requires accurate models. To this end, the performances of soft computing approaches, including neural networks, genetic algorithms, and adaptive network fuzzy inference system, were evaluated. The optimal performance was realized by neural networks trained by backpropagation as well as backpropagation combined with a genetic algorithm, with a coefficient of determination of 0.955 for the traction force and 0.954 for the tractive efficiency. Based on models with the best accuracy, a sensitivity analysis was performed. The results showed that the traction performance is mainly influenced by the soil type; nevertheless, the vertical load and soil moisture also exhibited a relatively strong influence.

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“…Draft of a wheeled tractor, which is an important index of power efficiency, is a result of stress-strain interaction between the tractor wheels and the topsoil. Research shows that 20-55% of tractor's power can be lost in the process of interaction between the tires and the topsoil because of the slip and the rolling resistance (Taghavifar and Mardani, 2014a;Taghavifar et al, 2014;Š merda and Č upera, 2010;Muhsin, 2010). This is not simply a wasted power -it creates a soil compaction, which may be detrimental to crop production (Grečenko and Prikner, 2014;Patel and Mani, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…In this case, power is wasted on carrying excess weight and pressing the soil which can lead to increase in fuel consumption of up to 15%. Fuel consumption for carrying excess weight increases significantly when working speed is increased (Janulevičius and Giedra, 2008;Taghavifar and Mardani, 2014). Analysis of research materials shows that optimal tractor slip in soil should be in the range of 8-12% (Damanauskas et al, 2015;Moitzi et al, 2013;.…”

Section: Introductionmentioning

confidence: 99%

Differences in tractor performance parameters between single-wheel 4WD and dual-wheel 2WD driving systems

Damanauskas

Janulevičius

2015

Journal of Terramechanics

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Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility

Cited by 25 publications

References 17 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

Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions

Differences in tractor performance parameters between single-wheel 4WD and dual-wheel 2WD driving systems

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