Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters

This study analyzed the engine operating condition curve of the corn kernel harvester. Field experiments identified the feed rate, concave clearance, and cylinder speed as the main factors affecting operating quality and efficiency. A ternary quadratic regression orthogonal center-of-rotation combin...

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Autores principales:	Deyi Zhou, Chongbin Xu, Yuelin Xin, Pengfei Hou, Baoguang Wu, Haiye Yu, Jinsong Zhang, Qiang Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	corn kernel harvesters parameter combination model operating quality operating efficiency Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a221f24de0fb45baaa36c8688cd62b86
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id	oai:doaj.org-article:a221f24de0fb45baaa36c8688cd62b86
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spelling	oai:doaj.org-article:a221f24de0fb45baaa36c8688cd62b862021-11-11T15:21:03ZModel Study on the Combination of Operating Parameters of Corn Kernel Harvesters10.3390/app1121103282076-3417https://doaj.org/article/a221f24de0fb45baaa36c8688cd62b862021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10328https://doaj.org/toc/2076-3417This study analyzed the engine operating condition curve of the corn kernel harvester. Field experiments identified the feed rate, concave clearance, and cylinder speed as the main factors affecting operating quality and efficiency. A ternary quadratic regression orthogonal center-of-rotation combined optimization test method was used to determine the feed rate, cylinder speed, and concave clearance as the influencing factors, and the engine speed variation rate, crushing rate, impurity rate, loss rate, and cylinder speed variation rate as the objective functions. A mathematical regression model was developed for the combination of operating quality indicators, efficiency indicators, and operating parameters of the corn kernel harvester. A non-linear optimization method was used to optimize the parameters of each influencing factor. The results showed that with a feed rate of 12 kg/s, a forward speed of 5 km/h, a cylinder speed of 360 r/min, and a concave clearance of 30 mm, the average crushing rate was 3.91%, the average impurity rate was 1.71%, and the kernel loss rate was 3.1%. This model could be used for the design and development of intelligent control systems.Deyi ZhouChongbin XuYuelin XinPengfei HouBaoguang WuHaiye YuJinsong ZhangQiang ZhangMDPI AGarticlecorn kernel harvestersparameter combination modeloperating qualityoperating efficiencyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10328, p 10328 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	corn kernel harvesters parameter combination model operating quality operating efficiency Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	corn kernel harvesters parameter combination model operating quality operating efficiency Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Deyi Zhou Chongbin Xu Yuelin Xin Pengfei Hou Baoguang Wu Haiye Yu Jinsong Zhang Qiang Zhang Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
description	This study analyzed the engine operating condition curve of the corn kernel harvester. Field experiments identified the feed rate, concave clearance, and cylinder speed as the main factors affecting operating quality and efficiency. A ternary quadratic regression orthogonal center-of-rotation combined optimization test method was used to determine the feed rate, cylinder speed, and concave clearance as the influencing factors, and the engine speed variation rate, crushing rate, impurity rate, loss rate, and cylinder speed variation rate as the objective functions. A mathematical regression model was developed for the combination of operating quality indicators, efficiency indicators, and operating parameters of the corn kernel harvester. A non-linear optimization method was used to optimize the parameters of each influencing factor. The results showed that with a feed rate of 12 kg/s, a forward speed of 5 km/h, a cylinder speed of 360 r/min, and a concave clearance of 30 mm, the average crushing rate was 3.91%, the average impurity rate was 1.71%, and the kernel loss rate was 3.1%. This model could be used for the design and development of intelligent control systems.
format	article
author	Deyi Zhou Chongbin Xu Yuelin Xin Pengfei Hou Baoguang Wu Haiye Yu Jinsong Zhang Qiang Zhang
author_facet	Deyi Zhou Chongbin Xu Yuelin Xin Pengfei Hou Baoguang Wu Haiye Yu Jinsong Zhang Qiang Zhang
author_sort	Deyi Zhou
title	Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
title_short	Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
title_full	Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
title_fullStr	Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
title_full_unstemmed	Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
title_sort	model study on the combination of operating parameters of corn kernel harvesters
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a221f24de0fb45baaa36c8688cd62b86
work_keys_str_mv	AT deyizhou modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT chongbinxu modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT yuelinxin modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT pengfeihou modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT baoguangwu modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT haiyeyu modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT jinsongzhang modelstudyonthecombinationofoperatingparametersofcornkernelharvesters AT qiangzhang modelstudyonthecombinationofoperatingparametersofcornkernelharvesters
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Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters

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