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基于多目标遗传算法的新型三通管形优化设计方法 被引量:1

Optimization Design Method of New Three-Way Tube Shape Based on Multi-Objective Genetic Algorithm
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摘要 传统T形三通管的流体动力学仿真表明,在管形分支处会产生强烈的涡流区和二次流现象,并产生了较大压力损失。论文提出了一种新型三通管形,将直角支管部分设计成两段弯曲的形式,以优化区域的长度以及两段弯曲管路的半径为设计变量,以最小化二次流和压力损失为目标,采用多目标遗传算法,对新型三通管的结构参数进行了优化设计。优化后的新型三通管比传统T形三通管二次流减小了76.98%,压力损失减小了13.05%。为分支管路的设计提供了参考。 The fluid dynamics simulation of the traditional T-shaped three-way tube shows that strong vortex area and secondary flow will be generated at the branch of the tube,and a large pressure loss will be produced.It proposes a new type of three-way tube shape,and the right-angle branch tube is designed into a two-section bending form.The length of optimization area and the radius of two-section bending tube are taken as design variables,and the goal is to minimize the secondary flow and pressure loss.The structural parameters of the new three-way tube are optimized by using Multi-objective Genetic Algorithm.Compared with the traditional T-shaped three-way tube,the optimized new three-way tube reduces the secondary flow by 76.98%,and the pressure loss is reduced by 13.05%.It provides a reference for the design of branch tubes.
作者 赵玉杰 刘伟 王高峰 ZHAO Yu-jie;LIU Wei;WANG Gao-feng(Northwestern Polytechnical University,School of Mechanical Engineering,Shanxi Xi'an 710129,China;Shanghai Aviation Electric Co.,Ltd.,Shanghai 201101,China)
出处 《机械设计与制造》 北大核心 2023年第7期206-210,共5页 Machinery Design & Manufacture
基金 国家自然科学基金(51875460)。
关键词 三通管 涡流区 二次流 压力损失 优化设计 多目标遗传算法 Three-Way Tube Vortex Area Secondary Flow Pressure Loss Optimization Design Multi-Objective Genetic Algorithm
作者简介 赵玉杰,(1995-),男,河北人,硕士研究生,主要研究方向:飞行器管路流体动力学;刘伟,(1981-),男,江苏人,博士研究生,副教授,主要研究方向:管道动力学和动力学可靠性。
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