ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency

Harvesting is one of the most important field operations in sunflower production. Seed damage and low separation efficiency are the top concerns of harvesting sunflower. In this study, a threshing cylinder with rubber teeth and a concave for harvesting sunflower were designed and evaluated. The vari...

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Autores principales:	P Ghiasi, A Masoumi, A Hemmat, Gh Najafi
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2020
Materias:	threshing model threshing unit sunflower harvesting Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/4ae517c7fb9c422f9d8c46fb306e92f2
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spelling	oai:doaj.org-article:4ae517c7fb9c422f9d8c46fb306e92f22021-11-14T06:35:16ZANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency2228-68292423-394310.22067/jam.v10i1.76264https://doaj.org/article/4ae517c7fb9c422f9d8c46fb306e92f22020-03-01T00:00:00Zhttps://jame.um.ac.ir/article_34069_c48709cb49f01b42c953fac1cfc9909a.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943Harvesting is one of the most important field operations in sunflower production. Seed damage and low separation efficiency are the top concerns of harvesting sunflower. In this study, a threshing cylinder with rubber teeth and a concave for harvesting sunflower were designed and evaluated. The variable parameters were threshing cylinder speed (TCS), threshing space (TS) and moisture content (MC) of sunflower head. Azargol variety was used to evaluate the threshing unit. The tests were performed at three cylinder speed levels (280, 380 and 480 rpm), two threshing spaces (8 and 10 cm) and two moisture content of sunflower head based on the crop condition (20% and 45% wet basis). An ANN model was developed to predict the amount of materials in each part of the concave. Results showed that the sunflower seeds had no damage during the threshing process and the presented model could predict the amount of materials in each part of the concave with a regression coefficient R2=0.95. Based on the ANN model, with a decrease in MC and TS, and an increase in TCS, the separation efficiency was increased. Furthermore, optimal parameters for the threshing unit which were suggested by Design Expert software to maximize the separation efficiency were 18% w.b, 450 rpm and 10.5 cm for MC, TSC, and TS, respectively and in this condition separation efficiency was determined to be 94.92%.P GhiasiA MasoumiA HemmatGh NajafiFerdowsi University of Mashhadarticlethreshing modelthreshing unitsunflower harvestingAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 10, Iss 1, Pp 73-82 (2020)
institution	DOAJ
collection	DOAJ
language	EN FA
topic	threshing model threshing unit sunflower harvesting Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	threshing model threshing unit sunflower harvesting Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 P Ghiasi A Masoumi A Hemmat Gh Najafi ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency
description	Harvesting is one of the most important field operations in sunflower production. Seed damage and low separation efficiency are the top concerns of harvesting sunflower. In this study, a threshing cylinder with rubber teeth and a concave for harvesting sunflower were designed and evaluated. The variable parameters were threshing cylinder speed (TCS), threshing space (TS) and moisture content (MC) of sunflower head. Azargol variety was used to evaluate the threshing unit. The tests were performed at three cylinder speed levels (280, 380 and 480 rpm), two threshing spaces (8 and 10 cm) and two moisture content of sunflower head based on the crop condition (20% and 45% wet basis). An ANN model was developed to predict the amount of materials in each part of the concave. Results showed that the sunflower seeds had no damage during the threshing process and the presented model could predict the amount of materials in each part of the concave with a regression coefficient R2=0.95. Based on the ANN model, with a decrease in MC and TS, and an increase in TCS, the separation efficiency was increased. Furthermore, optimal parameters for the threshing unit which were suggested by Design Expert software to maximize the separation efficiency were 18% w.b, 450 rpm and 10.5 cm for MC, TSC, and TS, respectively and in this condition separation efficiency was determined to be 94.92%.
format	article
author	P Ghiasi A Masoumi A Hemmat Gh Najafi
author_facet	P Ghiasi A Masoumi A Hemmat Gh Najafi
author_sort	P Ghiasi
title	ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency
title_short	ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency
title_full	ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency
title_fullStr	ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency
title_full_unstemmed	ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency
title_sort	ann-based modeling of sunflower threshing process and defining the optimal operation point for separation efficiency
publisher	Ferdowsi University of Mashhad
publishDate	2020
url	https://doaj.org/article/4ae517c7fb9c422f9d8c46fb306e92f2
work_keys_str_mv	AT pghiasi annbasedmodelingofsunflowerthreshingprocessanddefiningtheoptimaloperationpointforseparationefficiency AT amasoumi annbasedmodelingofsunflowerthreshingprocessanddefiningtheoptimaloperationpointforseparationefficiency AT ahemmat annbasedmodelingofsunflowerthreshingprocessanddefiningtheoptimaloperationpointforseparationefficiency AT ghnajafi annbasedmodelingofsunflowerthreshingprocessanddefiningtheoptimaloperationpointforseparationefficiency
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ANN-based Modeling of Sunflower Threshing Process and Defining the Optimal Operation Point for Separation Efficiency

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