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淹没环境下高压水射流喷嘴的结构优化
引用本文:李猛,何雪明,高彬,邓如冰,吴金鑫.淹没环境下高压水射流喷嘴的结构优化[J].液压与气动,2022,0(7):31-39.
作者姓名:李猛  何雪明  高彬  邓如冰  吴金鑫
作者单位:1.江苏省食品先进制造装备技术重点试验室, 江苏 无锡 214122; 2.江南大学 机械工程学院, 江苏 无锡 214122; 3.无锡安曼工程机械有限公司, 江苏 无锡 214000
基金项目:国家自然科学基金(51275210,51975251);
摘    要:为提高高压水射流在辅助大型沉井沉降施工中的效率,对水射流关键元件喷嘴进行选型和结构优化,要求射流具备高能量、低衰减特性。从4类回转形喷嘴中优选速度衰减小的喷嘴,确定合理的速度衰减研究指标,再结合尺寸参数设计正交实验,利用回归分析建立预测模型,可以确定各个尺寸参数对速度指标的影响程度。由高压泵站输入压力和流量确定喷嘴的最大直径,再由预测模型确定最佳喷嘴是出口直径2.8 mm、入口直径5.26 mm、收缩角为12.3°的锥形喷嘴。

关 键 词:回归分析  淹没射流  喷嘴优化  速度衰减  
收稿时间:2021-10-18

Structure Optimization of High Pressure Water Jet Nozzle in Submerged Environment
LI Meng,HE Xue-ming,GAO Bin,DENG Ru-bing,WU Jin-xin.Structure Optimization of High Pressure Water Jet Nozzle in Submerged Environment[J].Chinese Hydraulics & Pneumatics,2022,0(7):31-39.
Authors:LI Meng  HE Xue-ming  GAO Bin  DENG Ru-bing  WU Jin-xin
Affiliation:1. Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi, Jiangsu 214122;2. School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122;3. Wuxi Anman Construcyion Machinery Co., Ltd., Wuxi, Jiangsu 214000
Abstract:In order to improve the efficiency of the high-pressure water jet in assisting the settlement of large caissons, the nozzles of the key components of the water jet are selected and the structure is optimized, and the jet is required to have high energy and low attenuation characteristics. Select nozzles with low velocity attenuation from the four types of rotary nozzles, determine reasonable velocity attenuation research indicators, design orthogonal experiments with size parameters, and use regression analysis to establish a prediction model to determine the degree of influence of each size parameter on the velocity indicators. The maximum nozzle diameter is determined by the input pressure and flow rate of the high-pressure pumping station, and then the prediction model determines that the best nozzle is a cone-shaped nozzle with an outlet diameter of 2.8 mm, an inlet diameter of 5.26 mm, and a contraction angle of 12.3°.
Keywords:regression analysis  submerged jet  nozzle optimization  velocity attenuation  
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