Investigation and modeling of the tractive performance of radial tires using off-road vehicles

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dc.contributor.authorEkinci, Serafettin
dc.contributor.authorCarman, Kazim
dc.contributor.authorKahramanli, Humar
dc.date.accessioned2020-03-26T19:06:10Z
dc.date.available2020-03-26T19:06:10Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn order to utilize energy in the most efficient way in off-road vehicles, soil wheel interaction should be investigated carefully since considerable amount of energy is lost due to tractive performance. In this study, the effects of radial tire on tractive performance at three different tire lug heights, axle loads and inflation pressures were experimentally determined. To obtain sufficient performance data, a new single wheel tester was designed and manufactured. Prior to experiments, properties of stubble field were determined. The tractive efficiency was found to increase with increasing dynamic axle load while decreasing with increasing tire inflation pressure. Dynamic axle load of the tire was the major contributory factor in the traction performance as compared with other independent variables. Seven different Artificial Neural Network and two types of Support Vector Regression models have been designed to predict the tractive efficiency. To evaluate the success of system, various statistical measures such as Mean Absolute Error, Root Mean Squared Error and Coefficient Determination have been used. The results show that the Artificial Neural Network model trained using Levenberg Marquardt algorithm has produced more accurate results. (C) 2015 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113O794]en_US
dc.description.sponsorshipThe authors acknowledge the support of this study by the Scientific and Technological Research Council of Turkey by the project number: 113O794.en_US
dc.identifier.doi10.1016/j.energy.2015.10.070en_US
dc.identifier.endpage1963en_US
dc.identifier.issn0360-5442en_US
dc.identifier.issn1873-6785en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1953en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.energy.2015.10.070
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32255
dc.identifier.volume93en_US
dc.identifier.wosWOS:000367409500067en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofENERGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networken_US
dc.subjectModelingen_US
dc.subjectSupport Vector Regressionen_US
dc.subjectTireen_US
dc.subjectTractive efficiencyen_US
dc.subjectTractive performanceen_US
dc.titleInvestigation and modeling of the tractive performance of radial tires using off-road vehiclesen_US
dc.typeArticleen_US

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