Structural optimization and hydraulic performance analysis of bionic pit flow channels based on a genetic algorithm

Author:

Xu Tianyu,Su Yanru,Su Zhouming,Zhi Shuteng,Zheng Ennan

Abstract

AbstractOrthogonal experiments have mostly been used in the structural optimization of drip irrigation emitter flow channels. To further improve the efficiency of the optimal design, this study used a genetic algorithm to optimize the structure of the bionic pit flow channel. Based on the structural similarity and performance optimization of the torus-margo bordered pit structure, the constitutive equation of the flow channel unit was constructed. The selection, crossover and mutation operators were set by the genetic algorithm, and the objective function value was calculated. The design variables and known variables that met the requirements were put into the computational domain model, and the pit flow channel structure was simulated and optimized. The results showed that there were large low-velocity regions at the junctions and corners of the pit flow channel units at a working pressure of 50 kPa, and no complete low-velocity vortices were observed, indicating that the flow channels had good anti-clogging performance. The distribution of flow velocity on the same cross-section was quite different, which made the flow layers collide and mix, which intensified the loss of energy, indicating that it had a good energy dissipation effect. The multivariate linear regression analysis showed that the four variables of tooth stagger value (j), flow channel angle (θ), tooth spacing (l) and inner and outer boundary spacing (h) had a decreasing degree of influence on the flow index (x). The flow index (x) was negatively correlated with the tooth stagger value (j), flow channel angle (θ) and tooth spacing (l), and positively correlated with the inner and outer boundary spacing (h). The test results of physical samples showed that the average error between the simulation results and the real values was 3.4%, indicating that the accuracy was high, which can provide a basis for the structural optimization design of related pit drip irrigation emitters.

Funder

the Basic Scientific Research Fund of Heilongjiang Provincial Universities

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference35 articles.

1. Zhu, Y., Cao, W. & Liu, J. Study on structural design and hydraulic characteristic of a new type segmented rod emitter. Water Saving Irrig. 7, 49–53 (2020) (In Chinese with English Abstract).

2. Zhang, A. et al. Research advances in drip irrigation emitter clogging and anti-clogging measures. Agric. Eng. 11, 59–64 (2021) (In Chinese with English Abstract).

3. Lavanholi, R. et al. Prediction of pressure-discharge curves of trapezoidal labyrinth channels from nonlinear regression and artificial neural networks. J. Irrig. Drainage Eng-ASCE 146, 4020018. https://doi.org/10.1061/(asce)ir.1943-4774.0001485 (2020).

4. Al-Alamoud, A. I., Mattar, M. A. & Ateia, M. I. Impact of water temperature and structural parameters on the hydraulic labyrinth-channel emitter performance. Span. J. Agric. Res. 12, 580–593. https://doi.org/10.5424/sjar/2014123-4990 (2014).

5. Guo, L. et al. Hydraulic performance and energy dissipation effect of two-ways mixed flow emitter in drip irrigation. Trans. CSAE 32, 77–82 (2016) (In Chinese with English Abstract).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3