基于流体-固体耦合的液压滑阀开启过程仿真分析与优化

doi:10.3969/j.issn.1000-1093.2017.03.026

摘要/Abstract

摘要： 为改善液压滑阀开启过程中阀芯的工作性能，基于流体-固体耦合理论和动网格技术，建立滑阀开启过程三维流体-固体耦合数值分析模型，对阀芯在驱动力、弹簧力及液动力作用下的动作过程进行了模拟分析。针对阀芯受力分析结果，改进滑阀内部流道结构；以改进后阀芯槽口和凸台的4个结构参数为优化对象，利用最小二乘拟合和反向传播神经网络构建最大冯米塞斯应力与液动力峰值的目标函数，借助遗传算法确定了槽口和凸台的4个结构参数最优值。研究结果表明：优化后阀芯所受液动力和最大冯米塞斯应力的峰值分别减小了16.3%和22.0%；优化设计阀芯的结构参数可明显提高滑阀开启性能。

关键词: 流体力学, 液压滑阀, 流体-固体耦合, 动网格, 遗传算法

Abstract: To improve the working capability of the spool during the opening process of hydraulic spool valve, a three-dimensional numerical model is established based on fluid-structure interaction theory and dynamic mesh technology, and the movement of spool under the action of driving force, spring force and flow force is simulated. The internal flow channel structure is improved in view of stress on spool. The objective functions of peak value of the maximum von Mises stress and flow force are set up through least squares fit and BP neural network, with four structural parameters of improved spool notches and convex being taken as the optimization object. The optimal values of four structure parameters of notches and convex platform are determined by using genetic algorithm. After optimization, the maximum von Mises stress is decreased by 22.0%, and the maximum flow force is decreased by 16.3%. Results show that the spool valve opening performance is obviously improved through the study of the optimization design of structural parameters of spool. Key

Key words: fluidmechanics, hydraulicspoolvalve, fluid-structureinteraction, dynamicmesh, geneticalgorithm

中图分类号:

TH137.52⁺1

张胜，王强，何晓晖，高亚明，王新文. 基于流体-固体耦合的液压滑阀开启过程仿真分析与优化[J]. 兵工学报, 2017, 38(3): 608-615.

ZHANG Sheng, WANG Qiang, HE Xiao-hui, GAO Ya-ming， WANG Xin-wen. Simulation and Optimization of Hydraulic Spool Valve Opening Process Based on Fluid-structure Interaction[J]. Acta Armamentarii, 2017, 38(3): 608-615.

参考文献

［1］邢景棠, 周盛, 崔尔杰. 流固耦合力学概述[J]. 力学进展, 1997, 27(1):19-37.
XING Jing-tang, ZHOU Sheng, CUI Er-jie. Overview of fluid solid coupling mechanics[J]. Advances in Mechanics, 1997, 27(1): 19-37.(in Chinese)
[2］ Saeed R A, Galybin A N, Popov V. 3D fluid-structure modelling and vibration analysis for fault diagnosis of Francis turbine using multiple ANN and multiple ANFIS[J]. Mechanical Systems and Signal Processing, 2013, 34(1): 259-276.
[3］胡丹梅, 张志超, 孙凯, 等. 风力机叶片流体-固体耦合计算分析[J]. 中国电机工程学报, 2013, 33(17):98-104.
HU Dan-mei, ZHANG Zhi-chao, SUN Kai, et al. Computational analysis of wind turbine blades based on fluid-structure interaction[J]. Proceedings of the CSEE, 2013, 33(17):98-104.(in Chinese)
[4］张俊红, 郭迁, 王健, 等. 基于流固耦合与多目标拓扑优化的噪声塑料机油冷却器盖优化设计[J]. 振动与冲击, 2016, 35(7): 186-191.
ZHANG Jun-hong, GUO Qian, WANG Jian, et al. Low noise optimization design of plastic oil cooler cover based on liquid-solid coupling and multi-objective topological optimization[J]. Journal of Vibration and Shock, 2016, 35(7):186-191.(in Chinese)
[5］郭熛, 解宁, 郭津津, 等. 滑阀液动力研究及结构分析[J]. 液压气动与密封, 2012, 32(4):11-15.
GUO Piao, XIE Ning, GUO Jin-jin, et al. Research on flow force of the spool valve and structure analysis[J]. Hydraulics Pneumatics & Seals, 2012, 32(4):11-15. (in Chinese)
[6］郭昌盛. 基于动网格的调压阀流场模拟及阀芯运动分析[D].重庆: 重庆大学,2013.
GUO Chang-sheng. Moving mesh based on flow field simulation of pressure regulating valve and spool motion analysis[D]. Chongqing: Chongqing University, 2013.(in Chinese)
[7］赵蕾, 陈青, 权龙. 阀芯运动状态滑阀内部流场的可视化分析[J]. 农业机械学报, 2008, 39(11):142-145.
ZHAO Lei, CHEN Qing, QUAN Long. Visualization analysis of internal flow field of a moving spool valve[J]. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(11):142-145.(in Chinese)
[8］王安麟, 吴小锋, 周成林, 等. 基于CFD的液压滑阀多学科优化设计[J]. 上海交通大学学报, 2010, 44(12):1767-1772.
WANG An-lin, WU Xiao-feng, ZHOU Cheng-lin, et al. Multidisciplinary optimization of a hydraulic slide valve based on CFD[J]. Journal of Shanghai Jiao Tong University, 2010, 44(12):1767-1772. (in Chinese)
[9］ Song X G, Wang L, Park Y C. Analysis and optimization of butterfly valve disc[J]. Journal of Process Mechanical Engineering, 2009, 223(2):81-89.

[10］张来平, 邓小刚, 张涵信. 动网格生成技术及非定常计算方法进展综述[J]. 力学进展, 2010, 40(4):424-447.
ZHANG Lai-ping, DENG Xiao-gang, ZHANG Han-xin. Review on the development of the dynamic mesh generation technique and the unsteady computation method[J]. Advances in Mechanics, 2010, 40(4):424-447. (in Chinese)
[11］房小立. 基于CFD有限元法的滑阀稳态液动力研究[D]. 武汉:武汉科技大学, 2012.
FANG Xiao-li. Research on steady flow force of slide valve based on CFD finite element method[D]. Wuhan: Wuhan University of Science and Technology, 2012. (in Chinese)
[12］金奕山, 李琳. 随机振动结构von Mises应力过程峰值概率密度函数的研究[J]. 应用力学学报, 2006, 23(4):645-648, 701.
JIN Yi-shan, LI Lin. Research on the peak probability density function of von Mises stress process in random vibration structure[J]. Chinese Journal of Applied Mechanics, 2006, 23(4):645-648, 701.(in Chinese)
[13］张晓俊, 权龙, 赵斌. 内流式滑阀壁面压力分布可视化计算及试验验证[J]. 机械工程学报, 2016, 52(14):196-203.
ZHANG Xiao-jun, QUAN Long, ZHAO Bin. Visualization calculation and experimental verification of steady axial flow force on the converged flow sliding valve[J]. Journal of Mechanical Engineering, 2016, 52(14):196-203. (in Chinese)
[14］张俊红, 郭迁, 王健, 等. 基于流固耦合与多目标拓扑优化的噪声塑料机油冷却器盖优化设计[J]. 振动与冲击, 2016, 35(7):186-191.
ZHANG Jun-hong, GUO Qian, WANG Jian, et al. Low noise optimization design of plastic oil cooler cover based on liquid-solid coupling and multi-objective topological optimization[J]. Journal of Vibration and Shock, 2016, 35(7):186-191. (in Chinese)
[15］吴小锋, 干为民, 刘春节, 等. 液压换向滑阀内部结构的健壮性设计[J]. 中国机械工程, 2015, 26(15):2030-2035, 2040.
WU Xiao-feng, GAN Wei-min, LIU Chun-jie, et al. Robust design of hydraulic slide valve internal structure[J]. China Mechanical Engineering, 2015, 26(15):2030-2035, 2040.(in Chinese)
[16］陈峥, 潘二东, 申江卫, 等. 基于遗传算法的PHEV动力参数优化与仿真[J]. 昆明理工大学学报:自然科学版, 2016, 41(1):46-51.
CHEN Zheng, PAN Er-dong, SHEN Jiang-wei, et al. Optimization and simulation of PHEV dynamic parameters based on genetic algorithm[J]. Journal of Kunming University of Science and Technology: Natural Science Edition, 2016, 41(1):46-51. (in Chinese)

第38卷
第3期2017 年3月兵工学报ACTA
ARMAMENTARIIVol.38No.3Mar.2017

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