摘要
针对下沉式竖井掘进机铣挖头减速器在竖井工作中散热困难的问题,设计一种双空腔半旋转接盘的螺旋管水冷却系统。建立螺旋水管冷却系统的热流耦合数值模型,采用Realizableκ-ε湍流模型与能量方程进行求解,并通过网格无关性验证和试验数据对比确保模型的准确性。基于Box-Behnken方法设计四因素两水平试验,应用Fluent软件仿真得到螺旋水管螺距P_(s)、管内径d及入口水温T_(in)与入口水流速v_(in)4个因素对管道进出口压降与温差均值的影响规律。采用响应面法建立压降与温差2个目标函数的数学模型,并运用NSGA-II遗传算法对该数学模型进行优化分析,得到满足约束条件的Pareto解。结果表明:在一定冷却水温度下,增大螺旋管的内径和降低进口水速,可提升管道综合冷却效果,并使减速器整体冷却更加均匀;优化后,其进出口温差均值降低2.15%,同时进出口压降降低了12.55%,减速器整体最高温度从327.4 K下降到322.8 K,证明此优化方法的可行性;且仿真结果与Pareto解的最大误差为6.46%,证明优化结果可靠。该方法为类似受限空间内冷却系统的设计提供了有效的优化思路,具有工程应用价值。
To address the issue of poor heat dissipation of the milling head reducer of a shaft boring machine during shaft operations,a spiral pipe water cooling system with a double-cavity semi-rotating flange was designed.A coupled thermal-fluid numerical model of the spiral water pipe cooling system was established,solved using the Realizable κ-ε turbulence model and the energy equation,and the accuracy of the model was ensured through mesh independence validation and comparison with experimental data.A four-factor,two-level experiment was designed based on the Box-Behnken method,and Fluent software simulations were applied to determine the influence of the spiral pipe pitch P_(s),pipe inner diameter d,inlet water temperature T_(in),and inlet water velocity v_(in) on the average pressure drop and temperature difference at the pipe inlet and outlet.A mathematical model for the two objectives of pressure drop and temperature difference was established using the response surface method,and NSGA-II genetic algorithm was applied to optimize this model to obtain Pareto solutions that satisfied the constraints.The results show that,under a certain cooling water temperature,increasing the pipe inner diameter and reducing the inlet water velocity can improve the overall cooling performance of the pipe and make the reducer cooling more uniform.After optimization,the average inlet-outlet temperature difference is decreased by 2.15%,the inlet-outlet pressure drop is decreased by 12.55%,and the overall maximum temperature of the reducer drops from 327.4 K to 322.8 K,demonstrating the feasibility of the optimization method proposed in this study.Moreover,the maximum error between the simulation results and the Pareto solution is 6.46%,confirming the reliability of the optimization results.This method provides an effective optimization approach for designing cooling systems in similarly confined spaces and has practical engineering value.
作者
黄奇宇
成思源
杨雪荣
吴问霆
聂雄
HUANG Qiyu;CHENG Siyuan;YANG Xuerong;WU Wenting;NIE Xiong(School of Electromechanical Engineering,Guangdong University of Technology,Guangzhou Guangdong 510006,China;Guangzhou Sunward Intelligent Equipment Co.,Ltd.,Guangzhou Guangdong 510100,China)
出处
《机床与液压》
北大核心
2026年第5期172-181,共10页
Machine Tool & Hydraulics
基金
广州市行业科技协同创新中心建设项目(2024B04J000420)。
关键词
竖井掘进机
减速器
铣挖头
冷却系统
响应面法
多目标优化
shaft boring machine
reducer
milling head
cooling system
response surface methodology
multi-objective optimization
