Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)

Introduction Tillage as a preliminary step for agricultural production consumes large amounts of energy. Regarding the energy crisis and the greenhouse gas emissions caused by the indiscriminate use of fossil fuels, many efforts have been done to reduce energy consumption as much as possible. About...

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Autores principales:	M Mehrijani, J Khodaei, S Zareei
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2019
Materias:	fuel consumption mf285 tractor optimization regression model tensile force Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/08196cccfe9944a6942ea63f3f02e548
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id	oai:doaj.org-article:08196cccfe9944a6942ea63f3f02e548
record_format	dspace
institution	DOAJ
collection	DOAJ
language	EN FA
topic	fuel consumption mf285 tractor optimization regression model tensile force Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	fuel consumption mf285 tractor optimization regression model tensile force Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 M Mehrijani J Khodaei S Zareei Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)
description	Introduction Tillage as a preliminary step for agricultural production consumes large amounts of energy. Regarding the energy crisis and the greenhouse gas emissions caused by the indiscriminate use of fossil fuels, many efforts have been done to reduce energy consumption as much as possible. About half of the energy used in the crop production has been dedicated to tillage operations; hence the optimization of tillage tools performance can lead to decrease the energy loss. Tillage operation in most regions of Iran is carried out by moldboard plow. The ability of this plow in turning the soil has made it impressively different from the other plows. The energy used in tillage operations depends on various factors such as soil type and its conditions (soil moisture and texture), plow depth and forward speed. The aim of this study is to investigate the effect of forward speed, plow depth and soil moisture on fuel consumption and required tensile force during tillage operation with a moldboard plow which uses three plows in clay soil. Materials and Methods The current study was carried out to optimize the tillage operation with a moldboard plow in the clay soil. Tillage experiments were performed to evaluate the effect of forward speed, plow depth and soil moisture content on the required tensile force and tractor fuel consumption. A moldboard plow with three single-sided plows was used to conduct experiments. Two tractors (MF285 and U650) and a dynamometer were used to measure the required tensile force. To measure the fuel consumption of the tractor during operation, the fuel level was measured in a separate tank system installed on the tractor's fuel system. Experiments were carried out using response surface method and central composite design (CCD) by taking three levels of forward speed (4, 5 and 6 kmh-1), three plow depth (20, 25 and 30 cm) and three levels of soil moisture content (12, 16 and 20%). Design Expert 8.0.6 software was used to analyze the experimental data. Results and Discussion The result of the analysis of variance showed that the effects of plow depth, forward speed and soil moisture, as well as the interaction between forward speed and moisture content on the fuel consumption during tillage operations with moldboard plow are significant. The results also indicated that the increase in forward speed decreased the fuel consumption. Also, fuel consumption decreased with increasing in moisture content at first, but then increased. The reason for this was probably because of the increased strength of soil particles due to the reduced moisture content (the stronger coherence force between the particles), which required more energy to shear the soil. According to the results of analysis of variance, it can be concluded that all three factors of forward speed, plow depth and soil moisture had a significant effect on the required tensile force of moldboard plow at %1 probability level. With increasing the plow depth and forward speed, required tensile force increased significantly. The dependent variables were modeled as second order regression equations and optimal values of independent variables were determined. Optimum performance with maximum desirability was determined at forward speed of 5.08 kmh-1, plow depth of 20 cm and soil moisture content of 16.41%. Conclusions With increasing plow depth, tensile force and fuel consumption increased. Also, tensile force increased with increasing forward speed, but this increase was not severely affected by the plow depth and reduced the fuel consumption. The quadratic regression models can well predict the required tensile force and fuel consumption. Using response surface method, optimum performance was determined at forward speed of 5.08 kmh-1, plow depth of 20 cm and soil moisture content of 16.41%.
format	article
author	M Mehrijani J Khodaei S Zareei
author_facet	M Mehrijani J Khodaei S Zareei
author_sort	M Mehrijani
title	Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)
title_short	Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)
title_full	Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)
title_fullStr	Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)
title_full_unstemmed	Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)
title_sort	modeling and optimizing of the energy consumption of moldboard plow using response surface methodology (rsm)
publisher	Ferdowsi University of Mashhad
publishDate	2019
url	https://doaj.org/article/08196cccfe9944a6942ea63f3f02e548
work_keys_str_mv	AT mmehrijani modelingandoptimizingoftheenergyconsumptionofmoldboardplowusingresponsesurfacemethodologyrsm AT jkhodaei modelingandoptimizingoftheenergyconsumptionofmoldboardplowusingresponsesurfacemethodologyrsm AT szareei modelingandoptimizingoftheenergyconsumptionofmoldboardplowusingresponsesurfacemethodologyrsm
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spelling	oai:doaj.org-article:08196cccfe9944a6942ea63f3f02e5482021-11-14T06:34:54ZModeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)2228-68292423-394310.22067/jam.v9i1.65908https://doaj.org/article/08196cccfe9944a6942ea63f3f02e5482019-03-01T00:00:00Zhttps://jame.um.ac.ir/article_33562_56d914c38d0c9a7a3650ca191b0d320c.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943Introduction Tillage as a preliminary step for agricultural production consumes large amounts of energy. Regarding the energy crisis and the greenhouse gas emissions caused by the indiscriminate use of fossil fuels, many efforts have been done to reduce energy consumption as much as possible. About half of the energy used in the crop production has been dedicated to tillage operations; hence the optimization of tillage tools performance can lead to decrease the energy loss. Tillage operation in most regions of Iran is carried out by moldboard plow. The ability of this plow in turning the soil has made it impressively different from the other plows. The energy used in tillage operations depends on various factors such as soil type and its conditions (soil moisture and texture), plow depth and forward speed. The aim of this study is to investigate the effect of forward speed, plow depth and soil moisture on fuel consumption and required tensile force during tillage operation with a moldboard plow which uses three plows in clay soil. Materials and Methods The current study was carried out to optimize the tillage operation with a moldboard plow in the clay soil. Tillage experiments were performed to evaluate the effect of forward speed, plow depth and soil moisture content on the required tensile force and tractor fuel consumption. A moldboard plow with three single-sided plows was used to conduct experiments. Two tractors (MF285 and U650) and a dynamometer were used to measure the required tensile force. To measure the fuel consumption of the tractor during operation, the fuel level was measured in a separate tank system installed on the tractor's fuel system. Experiments were carried out using response surface method and central composite design (CCD) by taking three levels of forward speed (4, 5 and 6 kmh-1), three plow depth (20, 25 and 30 cm) and three levels of soil moisture content (12, 16 and 20%). Design Expert 8.0.6 software was used to analyze the experimental data. Results and Discussion The result of the analysis of variance showed that the effects of plow depth, forward speed and soil moisture, as well as the interaction between forward speed and moisture content on the fuel consumption during tillage operations with moldboard plow are significant. The results also indicated that the increase in forward speed decreased the fuel consumption. Also, fuel consumption decreased with increasing in moisture content at first, but then increased. The reason for this was probably because of the increased strength of soil particles due to the reduced moisture content (the stronger coherence force between the particles), which required more energy to shear the soil. According to the results of analysis of variance, it can be concluded that all three factors of forward speed, plow depth and soil moisture had a significant effect on the required tensile force of moldboard plow at %1 probability level. With increasing the plow depth and forward speed, required tensile force increased significantly. The dependent variables were modeled as second order regression equations and optimal values of independent variables were determined. Optimum performance with maximum desirability was determined at forward speed of 5.08 kmh-1, plow depth of 20 cm and soil moisture content of 16.41%. Conclusions With increasing plow depth, tensile force and fuel consumption increased. Also, tensile force increased with increasing forward speed, but this increase was not severely affected by the plow depth and reduced the fuel consumption. The quadratic regression models can well predict the required tensile force and fuel consumption. Using response surface method, optimum performance was determined at forward speed of 5.08 kmh-1, plow depth of 20 cm and soil moisture content of 16.41%.M MehrijaniJ KhodaeiS ZareeiFerdowsi University of Mashhadarticlefuel consumptionmf285 tractoroptimizationregression modeltensile forceAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 9, Iss 1, Pp 167-176 (2019)

Modeling and Optimizing of the Energy Consumption of Moldboard Plow using Response Surface Methodology (RSM)

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