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Analyses of energy dissipation of run-off-road wheeled vehicles utilizing controlled soil bin facility environment

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  • Taghavifar, Hamid
  • Mardani, Aref

Abstract

Management of nonrenewable energy sources is a worldwide concern particularly some of which refer to the consumption of fossil fuels. There is a great deal of energy loss in terramechanics at soil-wheel interface while the role of rolling resistance as a pronounced factor, was aimed to be assessed in this study under the effect of tire inflation pressure, forward velocity and wheel load in controlled condition of a well-equipped soil bin facility utilizing a single wheel-tester for provision of accuracy. Inflation pressure, velocity and wheel load varied at three, three and five different levels, respectively, forming forty-five treatments each of which with three replicates. The experimental results were analyzed using ANOVA (analysis of variance) and development of multiple regression analysis based model using the stepwise selection technique. Our results showed that increase of velocity led into increment of energy loss where increase of wheel load had paramount effect on the increase of the target parameter. The obtained results indicated that a decrease of inflation pressure from 350 kPa to 250 kPa decreased energy loss, however, further decreasing from 250 to 150 to an underinflated pressure, resulted in significant increment of energy loss.

Suggested Citation

  • Taghavifar, Hamid & Mardani, Aref, 2014. "Analyses of energy dissipation of run-off-road wheeled vehicles utilizing controlled soil bin facility environment," Energy, Elsevier, vol. 66(C), pages 973-980.
  • Handle: RePEc:eee:energy:v:66:y:2014:i:c:p:973-980
    DOI: 10.1016/j.energy.2014.01.076
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    References listed on IDEAS

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    1. Liang, Aizhen & McLaughlin, Neil B. & Ma, B.L. & Gregorich, Edward G. & Morrison, Malcolm J. & Burtt, Stephen D. & Patterson, B. Scott & Evenson, Lynne I., 2013. "Changes in mouldboard plough draught and tractor fuel consumption on continuous corn after 18 years of organic and inorganic N amendments," Energy, Elsevier, vol. 52(C), pages 89-95.
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    Cited by:

    1. Taghavifar, Hamid & Mardani, Aref & Hosseinloo, Ashkan Haji, 2015. "Appraisal of artificial neural network-genetic algorithm based model for prediction of the power provided by the agricultural tractors," Energy, Elsevier, vol. 93(P2), pages 1704-1710.
    2. Taghavifar, Hamid & Mardani, Aref & Karim-Maslak, Haleh, 2014. "Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility," Energy, Elsevier, vol. 73(C), pages 762-770.
    3. Taghavifar, Hamid & Mardani, Aref & Karim Maslak, Haleh, 2015. "A comparative study between artificial neural networks and support vector regression for modeling of the dissipated energy through tire-obstacle collision dynamics," Energy, Elsevier, vol. 89(C), pages 358-364.
    4. Taghavifar, Hamid & Mardani, Aref & Hosseinloo, Ashkan Haji, 2015. "Experimental analysis of the dissipated energy through tire-obstacle collision dynamics," Energy, Elsevier, vol. 91(C), pages 573-578.

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