Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester

In order to find the optimal combination of the picking unit parameters of the brush-rolling cotton harvester, the parameters optimization experiment were carried out. Taking the rotary speed of brush roller, the working velocity, and the number of brush plates as the experimental factors, the colle...

Full description

Bibliographic Details
Main Authors: Pan Jinkun, Yuan Jianning, Shi Lei, Zhang Yutong, Guo Zixian
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/49/e3sconf_astfe2020_01010.pdf
id doaj-046e930410d24a8b878da076897f7ff8
record_format Article
spelling doaj-046e930410d24a8b878da076897f7ff82021-04-02T13:04:11ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011890101010.1051/e3sconf/202018901010e3sconf_astfe2020_01010Experimental Study on Picking Unit Parameters of Brush-rolling Cotton HarvesterPan Jinkun0Yuan Jianning1Shi Lei2Zhang Yutong3Guo Zixian4School of Mechanical Engineering, Nanjing Institute of TechnologySchool of Mechanical Engineering, Nanjing Institute of TechnologyNanjing Research Institute of Agricultural Mechanization, Ministry of Agriculture and Rural AffairsNanjing Research Institute of Agricultural Mechanization, Ministry of Agriculture and Rural AffairsSchool of Mechanical Engineering, Nanjing Institute of TechnologyIn order to find the optimal combination of the picking unit parameters of the brush-rolling cotton harvester, the parameters optimization experiment were carried out. Taking the rotary speed of brush roller, the working velocity, and the number of brush plates as the experimental factors, the collect rate and the loss rate of struck cotton as the performance evaluation indexes, the quadratic regression orthogonal rotational combing design experiment was carried out. The Central Composite Design response surface method was used to establish the regression model of experimental factors and evaluation indexes, and analyze the influence of each factor on evaluation indexes. Using multi-objective optimization, the optimal parameter combination is as follows: the rotary speed of the brush roller is 350 r/min, the working velocity is 0.5 m/s, the number of brush plates is 6 rows. After the optimization test, the collect rate is 95.58%, and the loss rate of struck cotton is 1.22%. The field verification test shows that the collect rate of 4MSG-3 brush-rolling cotton harvester is 92.86%, and the loss rate of struck cotton is 1.26%. The relative error between verification test results and parameter optimization value is less than 5%, which verifies the reliability of the regression model. This study provides a theoretical basis for optimizing and improving the picking unit’s parameters of the brush-rolling cotton harvester.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/49/e3sconf_astfe2020_01010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Pan Jinkun
Yuan Jianning
Shi Lei
Zhang Yutong
Guo Zixian
spellingShingle Pan Jinkun
Yuan Jianning
Shi Lei
Zhang Yutong
Guo Zixian
Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester
E3S Web of Conferences
author_facet Pan Jinkun
Yuan Jianning
Shi Lei
Zhang Yutong
Guo Zixian
author_sort Pan Jinkun
title Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester
title_short Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester
title_full Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester
title_fullStr Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester
title_full_unstemmed Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester
title_sort experimental study on picking unit parameters of brush-rolling cotton harvester
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description In order to find the optimal combination of the picking unit parameters of the brush-rolling cotton harvester, the parameters optimization experiment were carried out. Taking the rotary speed of brush roller, the working velocity, and the number of brush plates as the experimental factors, the collect rate and the loss rate of struck cotton as the performance evaluation indexes, the quadratic regression orthogonal rotational combing design experiment was carried out. The Central Composite Design response surface method was used to establish the regression model of experimental factors and evaluation indexes, and analyze the influence of each factor on evaluation indexes. Using multi-objective optimization, the optimal parameter combination is as follows: the rotary speed of the brush roller is 350 r/min, the working velocity is 0.5 m/s, the number of brush plates is 6 rows. After the optimization test, the collect rate is 95.58%, and the loss rate of struck cotton is 1.22%. The field verification test shows that the collect rate of 4MSG-3 brush-rolling cotton harvester is 92.86%, and the loss rate of struck cotton is 1.26%. The relative error between verification test results and parameter optimization value is less than 5%, which verifies the reliability of the regression model. This study provides a theoretical basis for optimizing and improving the picking unit’s parameters of the brush-rolling cotton harvester.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/49/e3sconf_astfe2020_01010.pdf
work_keys_str_mv AT panjinkun experimentalstudyonpickingunitparametersofbrushrollingcottonharvester
AT yuanjianning experimentalstudyonpickingunitparametersofbrushrollingcottonharvester
AT shilei experimentalstudyonpickingunitparametersofbrushrollingcottonharvester
AT zhangyutong experimentalstudyonpickingunitparametersofbrushrollingcottonharvester
AT guozixian experimentalstudyonpickingunitparametersofbrushrollingcottonharvester
_version_ 1721566514668109824