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钢芯铝绞线漏磁检测励磁装置建模及关键参数研究

周超 魏超政 王伟

机械科学与技术2025,Vol.44Issue(4):684-692,9.
机械科学与技术2025,Vol.44Issue(4):684-692,9.DOI:10.13433/j.cnki.1003-8728.20230144

钢芯铝绞线漏磁检测励磁装置建模及关键参数研究

Modeling and Key Parameters Study on Leak Magnetic Detection Excitation Device for Aluminum Conductor Steel Reinforced

周超 1魏超政 1王伟1

作者信息

  • 1. 华北电力大学 电站能量传递转化与系统教育部重点实验室,北京 102206
  • 折叠

摘要

Abstract

As for the nondestructive testing of broken strand of cable structure,many researches are focused on the magnetic flux leakage detection of wire rope,and few of the researches are related to the broken strand detection of inner layer of aluminum conductor steel reinforced.In order to optimize the structure of aluminum conductor steel reinforced magnetic flux leakage detection equipment,a finite element model for magnetic flux leakage detection equipment was established based on the related theories of steel wire rope magnetic flux leakage detection.The influence of the excitation loop form,sensor lift value,magnetic pole spacing,radial air gap and other excitation device structural parameters on the local magnetization effect of steel strand were analyzed respectively.Based on these,the dimensional parameters of the excitation structure are determined and a finite element model for leakage device for ACSR conductor broken steel strand detection is designed.The designed model was used to experimentally detect the simplified ACSR conductor broken steel strands of model LGJ-210/50.It is found that all five defects of ACSR and SWR can be effectively detected.Moreover,unlike SWR,the defect leakage images of ACSR show a thin striped shape.Therefore,the designed excitation device model has high practicality in the detection of steel core broken strands in ACSR.

关键词

钢芯铝绞线/漏磁法/无损检测/励磁结构

Key words

aluminum conductor steel reinforced/magnetic leakage method/non-destructive testing/excitation structure

分类

动力与电气工程

引用本文复制引用

周超,魏超政,王伟..钢芯铝绞线漏磁检测励磁装置建模及关键参数研究[J].机械科学与技术,2025,44(4):684-692,9.

基金项目

国家重点研发计划项目(2018YFC0809400)、国家自然科学基金项目(52075169)及北京市自然科学基金项目(8202043) (2018YFC0809400)

机械科学与技术

OA北大核心

1003-8728

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