Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
Autor: | Chongbin Xu, Haiye Yu, Jinsong Zhang, Qiang Zhang, Yuelin Xin, Zhou Deyi, Baoguang Wu, Pengfei Hou |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Technology
food.ingredient QH301-705.5 QC1-999 corn kernel harvesters operating quality Corn kernel Cylinder (engine) law.invention food law Control theory General Materials Science Biology (General) parameter combination model Instrumentation QD1-999 Mathematics Fluid Flow and Transfer Processes Polynomial regression Process Chemistry and Technology Model study Physics General Engineering operating efficiency Regression analysis Test method Engineering (General). Civil engineering (General) Computer Science Applications Chemistry Kernel (statistics) TA1-2040 Loss rate |
Zdroj: | Applied Sciences, Vol 11, Iss 10328, p 10328 (2021) Applied Sciences Volume 11 Issue 21 |
ISSN: | 2076-3417 |
Popis: | 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. |
Databáze: | OpenAIRE |
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