数字农科院2.0

Simulation And Optimization Of Venturi Injector By Machine Learning Algorithms

文献类型： 外文期刊

作者： Wang, HT; Wang, JD; Yang, B; Mo, Y; Zhang, YQ; Ma, XP

作者机构：

关键词： Venturi Injector; Maximum Injection Rate; Simulation; Machine Learning Algorithms; Optimal Combination

期刊名称： JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

ISSN： 0733-9437

年卷期： 2020 年 146 卷 8 期

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： This paper discusses the problem of low injection rates from Venturi injectors. The optimal combination of key structural parameters for Venturi injectors was investigated using a simulation software platform based on machine learning algorithms. The research considered different nozzle diameters under an inlet pressure of 0.3 MPa and outlet pressure of 0.1 MPa. For the various nozzle diameters, the optimal ranges of the contraction angle (20 degrees-30 degrees), diffusion angle (8 degrees-10 degrees), throat length (40-50 mm), and ratio of throat diameter to nozzle diameter (1.5-1.66) were found, and the parameter combinations that maximized the injection rate were determined. A regression model was used to predict the maximum injection rate with different nozzle diameters. For a nozzle diameter of 4 mm, the maximum injection rate increased by about 200% compared with the original model. In addition, a regression model for the prediction of the injection rate based on injector structural parameters was construction using data from physical injector models and verified by a three-dimensional printer. The model may be used to quickly and effectively design or predict the injection rate for different structural parameters of the Venturi injector.

分类号：

  • 相关文献

[1]Numerical And Experimental Study On The Internal Flow Of The Venturi Injector. Huang, Xiuqiao,Han, Qibiao,Qi, Bin,Li, Hao,Li, Hao,Li, Hong,Yuan, Ye. 2020

[2]Evaluation Of Machine Learning Algorithms In Spatial Downscaling Of Modis Land Surface Temperature. Wu, Hua,Duan, Si-Bo,Li, Zhao-Liang,Wu, Hua,Li, Zhao-Liang,Li, Wan,Li, Wan,Ni, Li,Wu, Hua. 2019

[3]Application Of Machine Learning Algorithms I.n Quality Assurance Of F ermentation Process Of Black Tea- Based On Electrical Properties. Zhu, HK, Liu, F, Ye, Y, Chen, L, Li, JY, Gu, AH, Zhang, JQ, Dong, CW. 2019

[4]Mapping Dynamics Of Soil Organic M.atter In Croplands With M odis Data And Machine Learning Algorithms. Chen, D, Chang, NJ, Xiao, JF, Zhou, QB, Wu, WB. 2019

[5]Chlorophyll dynamic fusion based on high-throughput remote sensing and machine learning algorithms for cotton yield prediction. . 2025

[6]Comparison Of Shuttleworth-Wallace And Dual C.rop Cofficient Models For E stimating Evapotranspiration Of Transplanted Cottoon Under Different Irrigation Methods. Sun, Jingsheng,Zhang, Hao,Liu, Hao,Guo, Xuan,Wang, Shunsheng,Zhang, Hao,Gong, Xuewen. 2019

[7]Computer Simulation Elucidates Yeast Flocculation A.nd Sedimentation For Efficient I ndustrial Fermentation. Mehmood, Muhammad Aamer,Xia, Juan,Li, Zhi-Yang,Hao, Yue,Mehmood, Muhammad Aamer,Liu, Chen-Guang,Liu, Chen-Guang,Bai, Feng-Wu. 2018

[8]Effect of biochar on soil properties and infiltration in a light salinized soil: Experiments and simulations. Li Y., Liu C., Liang Z., Wang X., Fan X., Liu D.L., Biswas A.. 2022

[9]The roles of soluble poly and insoluble tannin in the enzymatic browning during storage of dried persimmon. Zhou M., Chen J., Bi J., Li X., Xin G.. 2022

[10]Disentangling the effects of animal defoliation, trampling, and excretion deposition on plant nutrient resorption in a semi-arid steppe: The predominant role of defoliation. Zhang T., Li F.Y., Li Y., Shi C., Wang H., Wu L., Bai Z., Suri G., Wang Z.. 2022

[11]Recombination Pattern Characterization via Simulation Using Different Maize Populations. Ren, Wei,Li, Kun,Zhang, Hongwei,Gong, Xiaoping,Chen, Fanjun,Pan, Qingchun. 2020

[12]The Role Of Subsidy Policies I.n Achieving Grain Self-Sufficiency I n China: A Partial Equilibrium Approach. Qian, JR, Ito, S, Mu, YY, Zhao, ZJ, Wang, XJ. 2018

[13]A Review On Cfd Simulating M.ethod For Biogas Fermentation M aterial Fluid. Wang, J, Xue, QW, Guo, T, Mei, ZL, Long, ES, Wen, Q, Huang, W, Luo, T, Huang, RY. 2018

[14]Effects Of Moisture, Temperature, And S.alt Content On The D ielectric Properties Of Pecan Kernels During Microwave And Radio Frequency Drying Processes. Zhang, JG, Li, MY, Cheng, JH, Wang, J, Ding, ZE, Yuan, XL, Zhou, SM, Liu, XM. 2019

[15]Simulation and parameter optimisation of pickup device for full-feed peanut combine harvester. Wang S., Hu Z., Yao L., Peng B., Wang B., Wang Y.. 2022

[16]Fe-N-C single-atom nanozyme for ultrasensitive, on-site and multiplex detection of mycotoxins using lateral flow immunoassay. Cai Xinfa, Ma Fei, Jiang Jun, Yang Xianglong, Zhang Zhaowei, Jian Zelang, Liang Meijuan, Li Peiwu, Yu Li. 2022

作者其他论文 更多>>