Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage

This study aimed to evaluate the ability of the response surface methodology (RSM) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage operations. The studied parameters of tractor performance, including slippage (S), drawbar power (DP) and traction effic...

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Autores principales:	Mohammad Askari, Yousef Abbaspour-Gilandeh, Ebrahim Taghinezhad, Ahmed Mohamed El Shal, Rashad Hegazy, Mahmoud Okasha
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	response surface methodology tractor performance tines subsoiling Agriculture (General) S1-972
Acceso en línea:	https://doaj.org/article/e2fdd99673194bbd9c62f7899ad9b5ad
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spelling	oai:doaj.org-article:e2fdd99673194bbd9c62f7899ad9b5ad2021-11-25T15:58:09ZApplying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage10.3390/agriculture111110432077-0472https://doaj.org/article/e2fdd99673194bbd9c62f7899ad9b5ad2021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0472/11/11/1043https://doaj.org/toc/2077-0472This study aimed to evaluate the ability of the response surface methodology (RSM) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage operations. The studied parameters of tractor performance, including slippage (S), drawbar power (DP) and traction efficiency (TE), were affected by two different types of tillage tool (paraplow and subsoiler), three different levels of operating depth (30, 40 and 50 cm), and four different levels of forward speed (1.8, 2.3, 2.9 and 3.5 km h<sup>−1</sup>). Tractors drove a vertical load at two levels (225 kg and no weight) in four replications, forming a total of 192 datapoints. Field test results showed that all variables except vertical load, and different combinations of this and other variables, were effective for the S, DP and TE. Increments in speed and depth resulted in an increase and decrease in S and TE, respectively. Additionally, the RSM approach displayed changes in slippage, drawbar power and traction efficiency, resulting from alterations in tine type, depth, speed and vertical load at 3D views, with high accuracy due to the graph’s surfaces, with many small pixels. The RSM model predicted the slippage as 6.75%, drawbar power as 2.23 kW and traction efficiency as 82.91% at the optimal state for the paraplow tine, with an operating depth of 30 cm, forward speed of 2.07 km h<sup>−1</sup> and a vertical load of 0.01 kg.Mohammad AskariYousef Abbaspour-GilandehEbrahim TaghinezhadAhmed Mohamed El ShalRashad HegazyMahmoud OkashaMDPI AGarticleresponse surface methodologytractor performancetinessubsoilingAgriculture (General)S1-972ENAgriculture, Vol 11, Iss 1043, p 1043 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	response surface methodology tractor performance tines subsoiling Agriculture (General) S1-972
spellingShingle	response surface methodology tractor performance tines subsoiling Agriculture (General) S1-972 Mohammad Askari Yousef Abbaspour-Gilandeh Ebrahim Taghinezhad Ahmed Mohamed El Shal Rashad Hegazy Mahmoud Okasha Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage
description	This study aimed to evaluate the ability of the response surface methodology (RSM) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage operations. The studied parameters of tractor performance, including slippage (S), drawbar power (DP) and traction efficiency (TE), were affected by two different types of tillage tool (paraplow and subsoiler), three different levels of operating depth (30, 40 and 50 cm), and four different levels of forward speed (1.8, 2.3, 2.9 and 3.5 km h<sup>−1</sup>). Tractors drove a vertical load at two levels (225 kg and no weight) in four replications, forming a total of 192 datapoints. Field test results showed that all variables except vertical load, and different combinations of this and other variables, were effective for the S, DP and TE. Increments in speed and depth resulted in an increase and decrease in S and TE, respectively. Additionally, the RSM approach displayed changes in slippage, drawbar power and traction efficiency, resulting from alterations in tine type, depth, speed and vertical load at 3D views, with high accuracy due to the graph’s surfaces, with many small pixels. The RSM model predicted the slippage as 6.75%, drawbar power as 2.23 kW and traction efficiency as 82.91% at the optimal state for the paraplow tine, with an operating depth of 30 cm, forward speed of 2.07 km h<sup>−1</sup> and a vertical load of 0.01 kg.
format	article
author	Mohammad Askari Yousef Abbaspour-Gilandeh Ebrahim Taghinezhad Ahmed Mohamed El Shal Rashad Hegazy Mahmoud Okasha
author_facet	Mohammad Askari Yousef Abbaspour-Gilandeh Ebrahim Taghinezhad Ahmed Mohamed El Shal Rashad Hegazy Mahmoud Okasha
author_sort	Mohammad Askari
title	Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage
title_short	Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage
title_full	Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage
title_fullStr	Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage
title_full_unstemmed	Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage
title_sort	applying the response surface methodology (rsm) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e2fdd99673194bbd9c62f7899ad9b5ad
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Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage

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