Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil

The purpose of this study was to model and optimize the offline refinement operations of sugarcane harvester hydraulic oil using RSM. For this purpose, the effects of independent variables of operating hours (250, 500 and 750 hours), Twin Dip Filter Mesh (7, 9 and 11 microns) and hydraulic oil refin...

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Autores principales:	H Nematpour Malek Abad, M. J Sheikhdavoodi, I Hazbavi, A Marzban
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2020
Materias:	offline refinement of hydraulic oil optimization response surface method sugarcane harvester Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/7edc908a4723492a99dba0010c1d5fad
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spelling	oai:doaj.org-article:7edc908a4723492a99dba0010c1d5fad2021-11-14T06:35:16ZOptimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil2228-68292423-394310.22067/jam.v10i1.75912https://doaj.org/article/7edc908a4723492a99dba0010c1d5fad2020-03-01T00:00:00Zhttps://jame.um.ac.ir/article_34051_1037f49c10109b7ea81f12cf9315bc38.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943The purpose of this study was to model and optimize the offline refinement operations of sugarcane harvester hydraulic oil using RSM. For this purpose, the effects of independent variables of operating hours (250, 500 and 750 hours), Twin Dip Filter Mesh (7, 9 and 11 microns) and hydraulic oil refining times (0, 1 and 2) on variables of water contamination, uncleanness level (NAS), silicon (Si), viscosity (Vis) and oil acid number (TAN) were evaluated. The results indicated that all models were suitable for water contamination, uncleanness level (NAS), silicon (Si), viscosity (Vis) and oil acid number (TAN) for describing experimental data. In addition, the desirability function showed that the optimum conditions for the offline refinement operations of the hydraulic oil of the sugar cane harvester included 728.61 operating hours, the 7-micron filter mesh, and the two refining times of the oil. Under this condition, the amount of water contamination, the uncleanness level (particles 5 to 15 micrometers), Vis, Si, and TAN were equal to 187.63 ppm, 234000, 5.91 ppm, 66.34 centistokes and 0.65 (mg KOH g-1), respectively.H Nematpour Malek AbadM. J SheikhdavoodiI HazbaviA MarzbanFerdowsi University of Mashhadarticleoffline refinement of hydraulic oiloptimizationresponse surface methodsugarcane harvesterAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 10, Iss 1, Pp 59-72 (2020)
institution	DOAJ
collection	DOAJ
language	EN FA
topic	offline refinement of hydraulic oil optimization response surface method sugarcane harvester Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	offline refinement of hydraulic oil optimization response surface method sugarcane harvester Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 H Nematpour Malek Abad M. J Sheikhdavoodi I Hazbavi A Marzban Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil
description	The purpose of this study was to model and optimize the offline refinement operations of sugarcane harvester hydraulic oil using RSM. For this purpose, the effects of independent variables of operating hours (250, 500 and 750 hours), Twin Dip Filter Mesh (7, 9 and 11 microns) and hydraulic oil refining times (0, 1 and 2) on variables of water contamination, uncleanness level (NAS), silicon (Si), viscosity (Vis) and oil acid number (TAN) were evaluated. The results indicated that all models were suitable for water contamination, uncleanness level (NAS), silicon (Si), viscosity (Vis) and oil acid number (TAN) for describing experimental data. In addition, the desirability function showed that the optimum conditions for the offline refinement operations of the hydraulic oil of the sugar cane harvester included 728.61 operating hours, the 7-micron filter mesh, and the two refining times of the oil. Under this condition, the amount of water contamination, the uncleanness level (particles 5 to 15 micrometers), Vis, Si, and TAN were equal to 187.63 ppm, 234000, 5.91 ppm, 66.34 centistokes and 0.65 (mg KOH g-1), respectively.
format	article
author	H Nematpour Malek Abad M. J Sheikhdavoodi I Hazbavi A Marzban
author_facet	H Nematpour Malek Abad M. J Sheikhdavoodi I Hazbavi A Marzban
author_sort	H Nematpour Malek Abad
title	Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil
title_short	Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil
title_full	Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil
title_fullStr	Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil
title_full_unstemmed	Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil
title_sort	optimization of refinement operations of sugarcane harvester hydraulic oil
publisher	Ferdowsi University of Mashhad
publishDate	2020
url	https://doaj.org/article/7edc908a4723492a99dba0010c1d5fad
work_keys_str_mv	AT hnematpourmalekabad optimizationofrefinementoperationsofsugarcaneharvesterhydraulicoil AT mjsheikhdavoodi optimizationofrefinementoperationsofsugarcaneharvesterhydraulicoil AT ihazbavi optimizationofrefinementoperationsofsugarcaneharvesterhydraulicoil AT amarzban optimizationofrefinementoperationsofsugarcaneharvesterhydraulicoil
_version_	1718429846170763264

Optimization of Refinement Operations of Sugarcane Harvester Hydraulic Oil

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