Model-Driven Optimization of In-Pipe Magnetic Flux Leakage Detectors

Background self-leakage in magnetic flux leakage (MFL) magnetizers can reduce the flux available for pipe wall magnetization. This study develops a geometry-dependent equivalent magnetic circuit (EMC) model for a permanent-magnet, yoke, and steel-brush assembly and couples it with NSGA-II to minimize the background self-leakage ratio and magnetic component volume. Pipe wall magnetic flux density and background leakage were evaluated for different geometric parameters and brush–wall clearances. The design variables were yoke length, magnet length, magnet height, and brush height. For an 8 mm-thick pipe wall, the selected compromise design had a yoke length of 65.93 mm, magnet length of 12.77 mm, magnet height of 8.02 mm, and brush height of 12.00 mm. It achieved an EMC-predicted leakage ratio of 0.24% and a combined yoke–magnet volume of 43.21 cm3. Across optimized configurations with wall thicknesses of 7–10 mm, nonlinear finite element (FE) simulations predicted average pipe wall magnetic flux densities of 1.94–1.98 T. EMC–FE errors were 0.00–1.52% for pipe wall flux density and 11.29–16.00% for background leakage. The method supports preliminary magnetic circuit design; experimental verification and defect-signal assessment remain necessary.

Authors

Institutions

Publication Details

Journal
Processes
Published
2026-11-11
DOI
https://doi.org/10.3390/pr14223647
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Model-Driven Optimization of In-Pipe Magnetic Flux Leakage Detectors

Lemei Ren, Zenggang Zhang, Zuowen Jiang, Shuo Li
Processes
Non-Destructive Testing Techniques
article

Model-Driven Optimization of In-Pipe Magnetic Flux Leakage Detectors

Lemei Ren, Zenggang Zhang, Zuowen Jiang, Shuo Li
article en

Abstract

Background self-leakage in magnetic flux leakage (MFL) magnetizers can reduce the flux available for pipe wall magnetization. This study develops a geometry-dependent equivalent magnetic circuit (EMC) model for a permanent-magnet, yoke, and steel-brush assembly and couples it with NSGA-II to minimize the background self-leakage ratio and magnetic component volume. Pipe wall magnetic flux density and background leakage were evaluated for different geometric parameters and brush–wall clearances. The design variables were yoke length, magnet length, magnet height, and brush height. For an 8 mm-thick pipe wall, the selected compromise design had a yoke length of 65.93 mm, magnet length of 12.77 mm, magnet height of 8.02 mm, and brush height of 12.00 mm. It achieved an EMC-predicted leakage ratio of 0.24% and a combined yoke–magnet volume of 43.21 cm3. Across optimized configurations with wall thicknesses of 7–10 mm, nonlinear finite element (FE) simulations predicted average pipe wall magnetic flux densities of 1.94–1.98 T. EMC–FE errors were 0.00–1.52% for pipe wall flux density and 11.29–16.00% for background leakage. The method supports preliminary magnetic circuit design; experimental verification and defect-signal assessment remain necessary.

ProcessesVol. 14(22)
Shandong Jianzhu University (CN)
Non-Destructive Testing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon