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基于粒子群算法的瞬变电磁检测小车结构优化

Structural Optimization of Transient Electromagnetic Detection Cart Based on Particle Swarm Algorithm
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摘要 利用瞬变电磁法进行管道移动检测的过程中,经常由于检测设备抖动造成检测信号的误差或检测失败。为此,设计了一款可搭载瞬变电磁检测设备的自动检测小车。基于检测小车和埋地管道检测的工作要求,进行可变线圈搭载平台和减震机构设计,并利用解析法对弹簧阻尼器的刚度系数和阻尼系数进行优化。基于ANSYS Workbench软件对上摆臂和车轮连接件进行拓扑优化。基于减震机构的关键零件下摆臂对整体性能的影响,利用CCD中心组合试验法,进行仿真试验设计取得数据,并利用响应面法得出最大应力和质量与下摆臂设计参数的映射关系。采用粒子群算法对映射关系进行优化设计,获得最大应力和质量最小时的下摆臂参数。优化结果表明:采用Adams对优化后的检测小车进行运动学仿真,小车平台质心在竖直方向上位移和速度的峰值分别降低约55.7%和26.5%,均值分别降低约67.9%和24.2%,波动的次数也明显减少,检测小车性能显著增强。所得结论可为检测小车设计提供理论参考,对管道缺陷检测领域具有一定的工程意义。 When the transient electromagnetic method is used in moving detection of pipeline,detection signal error or detection failure often occur due to the shaking of the detection equipment.To solve this problem,an auto-matic detection cart capable of carrying transient electromagnetic detection equipment was designed.Based on the work requirements of detection cart and buried pipeline detection,variable coil mounted platform and damping mechanism were designed,and the analytical method was used to conduct optimization on the stiffness and damping coefficients of the spring damper.Based on ANSYS Workbench software,topological optimization was conducted for the upper swinging arm and wheel bridge piece.Based on the influence of the key part of damping mechanism,i.e.,lower swinging arm on the overall performance,the CCD central combination test method was used for simula-tion test design to obtain relevant data,and the response surface method was used to obtain the mapping relation-ship between the maximum stress and mass and the design parameters of the lower swinging arm.The particle swarm algorithm was used for optimized design on the mapping relationship to obtain the parameters of the lower swinging arm with the maximum stress and minimum mass.Finally,Adams was used for kinematic simulation on the optimized detection cart,showing that the peak displacement and velocity of the cart platform centroid in the vertical direction are reduced by about 55.7%and 26.5%respectively,the mean values are reduced by about 67.9%and 24.2%respectively,the number of fluctuations is also significantly reduced,and the performance of the detection cart obviously enhanced.The conclusions provide theoretical reference for the design of the detection cart,and have certain engineering significance in the field of pipeline defect detection.
作者 卫伟 赵弘 Wei Wei;Zhao Hong(College of Mechanical and Transportation Engineering,China University of Petroleum(Beijing))
出处 《石油机械》 北大核心 2024年第3期117-125,共9页 China Petroleum Machinery
基金 国家自然科学基金项目“海底油气管道封堵致振机理及气动减振控制方法研究”(51575528) 中国石油大学(北京)前瞻导向及培育项目(2462022QEDX011)。
关键词 埋地管道 瞬变电磁检测 检测小车 粒子群算法 优化设计 仿真分析 buried pipeline transient electromagnetic detection detection car particle swarm optimiza-tion optimized design simulation analysis
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