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Development of Mathematical Functions to Predict Deflection of Radial and Bias Tractor Tires on Rigid Surface
2021
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Türk Tarım - Gıda Bilim ve Teknoloji Dergisi
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Abstract:

The objective of this study was to develop mathematical functions to predict deflection for radial and bias tires. In order to develop the models, the data were obtained from the tire manufacturing companies and organized in Excel first and then transferred to Minitab® for stepwise regression analysis. The variables considered in the study were inflation pressure, load and tire width and overall diameter. Tire width (w) and overall diameter (d) was considered in a multiplication form. The tire deflection models in two different form (linear and non-linear) were developed for both, radial and bias tires. The model selection was achieved by three different criteria and % differences between the measured and predicted data. Based on the results of applying model selection criteria, the models for radial and bias tire in non-linear form were found to be adequate for predicting the tire deflection. The results from the stepwise analysis indicated that the load on tire was the predominant variable in the models and made the highest contribution to the prediction functions. The developed models were verified against to published literature data and found a good agreement. Downloads PDF Published 25-12-2021 How to Cite Komekci, F., & Degirmencioglu, A. (2021). Development of Mathematical Functions to Predict Deflection of Radial and Bias Tractor Tires on Rigid Surface. Turkish Journal of Agriculture - Food Science and Technology, 9(12), 2226–2232. https://doi.org/10.24925/turjaf.v9i12.2226-2232.4498 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 9 No. 12 (2021) Section Research Paper License

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2021
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2021
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Türk Tarım - Gıda Bilim ve Teknoloji Dergisi

Field :   Ziraat, Orman ve Su Ürünleri

Journal Type :   Uluslararası

Metrics
Article : 2.775
Cite : 3.126
2023 Impact : 0.105
Türk Tarım - Gıda Bilim ve Teknoloji Dergisi