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

Energy · Ocak 2015

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YÖKSİS Kayıtları
Investigation and modeling of the tractive performance of radial tires using off road vehicles
Energy · 2015 SCI-Expanded
Prof. Dr. ŞERAFETTİN EKİNCİ →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 20 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
From public policy towards the green energy transition: Do economic freedom, economic globalization, environmental policy stringency, and material productivity matter?
2024 ISSN: 0360-5442 SCI-Expanded Q1
Dr. Öğr. Üyesi NAZLI DEMİRTAŞ →
Investigation and modeling of the tractive performance of radial tires using off road vehicles
2015 ISSN: 03605442 SCI-Expanded
Prof. Dr. ŞERAFETTİN EKİNCİ →
Investigation and modeling of the tractive performance of radial tiresusing off road vehicles
2015 ISSN: 0360-5442 SCI
Prof. Dr. HUMAR KAHRAMANLI ÖRNEK →
Investigation and modeling of the tractive performance of radial tiresusing off road vehicles
2015 ISSN: 0360-5442 SCI-Expanded
Prof. Dr. KAZİM ÇARMAN →
Comparison of energy of irrigation regimes in sugar beet production in a semi arid region
2010 ISSN: 03605442 SCI
Prof. Dr. RAMAZAN TOPAK →
Comparison of energy of irrigation regimes in sugar beet production in a semi arid region
2010 ISSN: 03605442 SCI-Expanded Q1
Dr. Öğr. Üyesi SİNAN SÜHERİ →
A comperative analysis of the engine performance, exhaust emissions and combustion behaviors of a compression ignition engine fuelled with biodiesel/diesel/1-butanol(C4 alcohol) and biodiesel/diesel/n-pentanol (C5 alcohol) fuel blends
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Rule-based Mamdani-type fuzzy modeling of heating and cooling performances of counter-flow Ranque–Hilsch vortex tubes with different geometric construction for steel
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The Use of Energy in Milk Production: A case from Konya Province of Turkey
2019 ISSN: 0360-5442 SCI
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Polynomial regression method for optimization of biodiesel production from black mustard (Brassica nigra L.) seed oil using methanol, ethanol, NaOH, and KOH
2020 ISSN: 0360-5442 SCI-Expanded
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Experimental investigation of the effects of orientation angle on heat transfer performance of pin-finned surfaces in natural convection
2011 ISSN: 0360-5442 SCI-Expanded Q1
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A new energy crop onopordum spp.: A research on biofuel properties
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A new energy crop onopordum spp.: A research on biofuel properties
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A new energy crop onopordum spp.: A research on biofuel properties
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High-performance triboelectric nanogenerator based on carbon nanomaterials functionalized polyacrylonitrile nanofibers
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Sustainability analysis of zero energy consumption data centers with free cooling, waste heat reuse and renewable energy systems: A feasibility study
2023 ISSN: 0360-5442 SCI-Expanded Q1
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Experimentally detected aerodynamic drag coefficient of the agricultural tractor form considering effects of windshield angle and hood front shape
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Experimental investigation of the effect of variable valve lift on combustion stability and exhaust emissions in a diesel/methane CRDI engine
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Experimental investigation of the effect of variable valve lift on combustion stability and exhaust emissions in a diesel/methane CRDI engine
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Assessment of trade-off, exergetic performance, and greenhouse gas impact-cost analysis of a diesel engine running with different proportions of TiO2, Ag2O, and CeO2 nanoadditives
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Makale Bilgileri

Dergi Energy
ISSN03605442
Yayın TarihiOcak 2015
Cilt / Sayfa93 · 1953-1963
DOI10.1016/j.energy.2015.10.070
Scopus ID2-s2.0-84954486408
Özet In 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.

Yazarlar (3)

1
Şerafettin Ekinci
2
Kazim Carman
ORCID: 0000-0002-9860-7403
3
Humar Kahramanli

Anahtar Kelimeler

Artificial neural network Modeling Support vector regression Tire Tractive efficiency Tractive performance

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Energy
Q1
SJR Skoru2,211
H-Index274
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Building and Construction (Q1)
Civil and Structural Engineering (Q1)
Electrical and Electronic Engineering (Q1)
Energy Engineering and Power Technology (Q1)
Energy (miscellaneous) (Q1)
Fuel Technology (Q1)
Industrial and Manufacturing Engineering (Q1)
Management, Monitoring, Policy and Law (Q1)
Mechanical Engineering (Q1)
Modeling and Simulation (Q1)
Pollution (Q1)
Renewable Energy, Sustainability and the Environment (Q1)
Dergi sayfasına git

Metrikler

29
Atıf
3
Yazar
6
Anahtar Kelime

Sistemimizdeki Yazarlar

HK
HUMAR KAHRAMANLI ÖRNEK
Prof. Dr.

Hızlı Erişim

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