What MFL detects (and why it matters)

MFL magnetises the test object and measures leakage fields caused by discontinuities. It is commonly used to identify corrosion/metal loss, pitting, and surface-breaking flaws on ferromagnetic materials.

Our team supports on-site deployment across Singapore, Malaysia, and the wider SEA regionโ€”helping you screen large areas efficiently and prioritise follow-up inspection where needed.

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Where MFL is commonly applied

MFL is well-suited for rapid screening of ferromagnetic assets where metal loss and surface defects are key concerns. Typical applications include:

Pipelines & flowlines

Screen for corrosion, pitting, and external damage to help plan maintenance and integrity actions.


Storage tanks & vessels

Identify areas of metal loss on accessible surfaces to support repair planning and shutdown scope.


Steel structures

Detect surface-breaking defects and localised loss on ferromagnetic structural members.


Fabrication & QA screening

Support quality checks and condition assessment where fast coverage is required.


How we work

Our MFL inspection workflow

A practical, site-ready process designed to minimise disruption while delivering clear findings for decision-making.

1) Scope & access planning

Confirm asset type, material (ferromagnetic), surface condition, access constraints, and inspection objectives (screening vs targeted).

2) Setup & calibration

Select suitable MFL equipment and verify sensitivity using reference standards or agreed verification checks.

3) Scanning & data capture

Perform systematic scanning with controlled coverage to identify indications associated with metal loss or surface-breaking defects.

4) Review, verification & reporting

Interpret results, recommend follow-up methods where needed (e.g., UT thickness gauging), and issue a clear report with locations and prioritised observations.

FAQ

Magnetic Flux Leakage (MFL) โ€” common questions

Not sure if MFL is the right method for your asset? Share your component details and weโ€™ll recommend the most suitable NDT approach.

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