Structural Optimization of Transient Electromagnetic Detection Cart Based on Particle Swarm Algorithm
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.
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