Net traction ratio prediction for high-lug agricultural tyre

A study was conducted to determine the accuracy of Wismer-Luth and Brixius equations in predicting net traction ratio of a high-lug agricultural tyre. The tyre was tested on a sandy clay loam soil in an indoor University Putra Malaysia (UPM) tyre traction testing facility. The experiment was conduct...

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Main Authors: A. K., Elwaleed, Yahya, Azmi, Bardaie, Mohd Zohadie, Ahmad, Desa, Abdelmotalab Fadlelmola, Kheiralla
Format: Article
Language:English
English
Published: Elsevier Ltd. 2006
Online Access:http://psasir.upm.edu.my/id/eprint/12480/1/Net%20traction%20ratio%20prediction%20for%20high.pdf
http://psasir.upm.edu.my/id/eprint/12480/
http://dx.doi.org/10.1016/j.jterra.2004.10.002
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Institution: Universiti Putra Malaysia
Language: English
English
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spelling my.upm.eprints.124802015-12-09T02:39:17Z http://psasir.upm.edu.my/id/eprint/12480/ Net traction ratio prediction for high-lug agricultural tyre A. K., Elwaleed Yahya, Azmi Bardaie, Mohd Zohadie Ahmad, Desa Abdelmotalab Fadlelmola, Kheiralla A study was conducted to determine the accuracy of Wismer-Luth and Brixius equations in predicting net traction ratio of a high-lug agricultural tyre. The tyre was tested on a sandy clay loam soil in an indoor University Putra Malaysia (UPM) tyre traction testing facility. The experiment was conducted by running the tyre in driving mode. A total of 126 test runs were conducted in a combination consisting of three selected inflation pressures (i.e., 166, 193 and 221 kPa) and two wheel numerics (i.e., 19 and 29) representing two extreme types of soil strength under different levels of travel reduction ranging between 0% and 40%. Regression analysis was conducted to determine the prediction equation describing the tyre torque ratio. Marqurdt’s method used by Wismer-Luth for predicting non-linear equation was not found suitable in predicting the torque ratio of the test tyre awing its low coefficient of determination and inadequacy. The logarithmic model was found suitable in torque ration prediction. From analysis of covariance (ANCOVA) the mean effect of travel speed, tyre inflation pressure and wheel numeric on tyre net traction ratio were found to be highly significant, while the interaction of inflation pressure and wheel numeric was not significant. The 193 kPa inflation pressure was found the best, among the three inflation pressures used, in getting higher net traction ratio and higher maximum efficiency. Finally, two models were formulated for tyre net traction ratio; one in terms of wheel numeric and travel speed reduction and the other in terms of mobility number and travel reduction, to describe the tested tyre performance at different soil strengths. Elsevier Ltd. 2006-04 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12480/1/Net%20traction%20ratio%20prediction%20for%20high.pdf A. K., Elwaleed and Yahya, Azmi and Bardaie, Mohd Zohadie and Ahmad, Desa and Abdelmotalab Fadlelmola, Kheiralla (2006) Net traction ratio prediction for high-lug agricultural tyre. Journal of Terramechanics, 43 (2). pp. 119-139. ISSN 0022-4898 http://dx.doi.org/10.1016/j.jterra.2004.10.002 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description A study was conducted to determine the accuracy of Wismer-Luth and Brixius equations in predicting net traction ratio of a high-lug agricultural tyre. The tyre was tested on a sandy clay loam soil in an indoor University Putra Malaysia (UPM) tyre traction testing facility. The experiment was conducted by running the tyre in driving mode. A total of 126 test runs were conducted in a combination consisting of three selected inflation pressures (i.e., 166, 193 and 221 kPa) and two wheel numerics (i.e., 19 and 29) representing two extreme types of soil strength under different levels of travel reduction ranging between 0% and 40%. Regression analysis was conducted to determine the prediction equation describing the tyre torque ratio. Marqurdt’s method used by Wismer-Luth for predicting non-linear equation was not found suitable in predicting the torque ratio of the test tyre awing its low coefficient of determination and inadequacy. The logarithmic model was found suitable in torque ration prediction. From analysis of covariance (ANCOVA) the mean effect of travel speed, tyre inflation pressure and wheel numeric on tyre net traction ratio were found to be highly significant, while the interaction of inflation pressure and wheel numeric was not significant. The 193 kPa inflation pressure was found the best, among the three inflation pressures used, in getting higher net traction ratio and higher maximum efficiency. Finally, two models were formulated for tyre net traction ratio; one in terms of wheel numeric and travel speed reduction and the other in terms of mobility number and travel reduction, to describe the tested tyre performance at different soil strengths.
format Article
author A. K., Elwaleed
Yahya, Azmi
Bardaie, Mohd Zohadie
Ahmad, Desa
Abdelmotalab Fadlelmola, Kheiralla
spellingShingle A. K., Elwaleed
Yahya, Azmi
Bardaie, Mohd Zohadie
Ahmad, Desa
Abdelmotalab Fadlelmola, Kheiralla
Net traction ratio prediction for high-lug agricultural tyre
author_facet A. K., Elwaleed
Yahya, Azmi
Bardaie, Mohd Zohadie
Ahmad, Desa
Abdelmotalab Fadlelmola, Kheiralla
author_sort A. K., Elwaleed
title Net traction ratio prediction for high-lug agricultural tyre
title_short Net traction ratio prediction for high-lug agricultural tyre
title_full Net traction ratio prediction for high-lug agricultural tyre
title_fullStr Net traction ratio prediction for high-lug agricultural tyre
title_full_unstemmed Net traction ratio prediction for high-lug agricultural tyre
title_sort net traction ratio prediction for high-lug agricultural tyre
publisher Elsevier Ltd.
publishDate 2006
url http://psasir.upm.edu.my/id/eprint/12480/1/Net%20traction%20ratio%20prediction%20for%20high.pdf
http://psasir.upm.edu.my/id/eprint/12480/
http://dx.doi.org/10.1016/j.jterra.2004.10.002
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