Multi-Objective Optimization Design of the Small Flow Rate Emitter Structure Based on the NSGA-II Genetic Algorithm

Zongze Yang, Yan Mo (), Chunlong Zhao, Huaiyu Liu, Yanqun Zhang, Juan Xiao (), Shihong Gong and Yanan Bi
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Zongze Yang: Institute of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Yan Mo: China Institute of Water Resources and Hydropower Research, Beijing 100048, China
Chunlong Zhao: Institute of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Huaiyu Liu: Inner Mongolia Hetao Irrigation District Water Resources Development Center, Inner Mongolia Autonomous Region, Bayannur 015000, China
Yanqun Zhang: China Institute of Water Resources and Hydropower Research, Beijing 100048, China
Juan Xiao: Institute of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Shihong Gong: China Institute of Water Resources and Hydropower Research, Beijing 100048, China
Yanan Bi: Heze Huali Water-Saving Irrigation Technology Co., Ltd., Heze 274000, China

Agriculture, 2024, vol. 14, issue 12, 1-20

Abstract: Reducing the flow rate ( q ) of the emitter can increase the dripline laying length and reduce the engineering investment of the drip irrigation system; however, reducing q increases the risk of emitter clogging. In this study, based on the OPFN method (Optimal Latin Hypercube Experimental Design–Parametric Modeling of Emitter–Fluid Dynamics Simulation–NSGA-II Genetic Algorithm Optimization), we selected the structural parameters of channel tooth height ( E ), angle ( A ), pitch of teeth ( B ), and flow channel depth ( D ) to construct 128 emitters. Through simulation, we obtained q , the flow index ( x ), and the structural resistance coefficient ( Cs ) under the pressure ( H ) ranging from 0.02 to 0.15 MPa. The results showed that the rated flow rate ( q 0.1 ) and x values of 128 emitters range from 0.50 to 0.85 L/h and 0.461 to 0.480, respectively. Since Cs is negatively correlated with x , to obtain the combination of the flow channel structural parameters with the optimal hydraulic performance ( x = min f ( E , A , B , D )) and the optimal anti-clogging performance ( Cs = min g ( E , A , B , D )), the flow channel structural parameters are optimized by using the NSGA-II genetic algorithm to obtain the Pareto frontier solution. The optimal combinations of channel structural parameters corresponding to the q 0.1 values of 0.62, 0.71, and 0.82 L/h with x of 0.470, 0.466, and 0.463 are obtained using the weighting method. Cs values are 0.131, 0.446, and 0.619, respectively. The limit laying length of the configured emitter is 150–180 m. According to the flow field cloud diagram before and after optimization, it can be found that increasing the high-velocity area and high-turbulent-kinetic-energy area in the main stream and decreasing the low-velocity area and low-turbulent-kinetic-energy area in the tooth base and downstream face can help reduce x and Cs , and thus improve the hydraulic performance and anti-clogging performance of the small flow rate emitter.

Keywords: drip irrigation; numerical simulation; flow index; structural resistance coefficient; anti-clogging performance (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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