Standard guide

SNT-TC-1A and ASNT Level III Review of Blade Data

RAS Thermal Co., Ltd.: the qualification framework behind the 99.2 % figure, and why a Level III re-review is the validation

Author: · Updated 2026-10-07

TL;DR Personnel qualified through a written practice aligned with SNT-TC-1A. A Level III grade for data interpretation and sign-off. Validation of the detection figure against a Level III re-review rather than a baseline. A record tying each dataset to its qualification level.

SNT-TC-1A is the recommended practice for personnel qualification, and ASNT Level III is the senior grade it describes. For a blade programme the two matter because the headline detection figure is validated by a Level III re-review of the data rather than by a comparison with a manual baseline.

What the standard covers

The practice sets out how a company qualifies and certifies its NDT personnel across levels, and the Level III grade covers the interpretation and the sign-off of results. On a blade programme that is the grade behind the AI agreement figure and behind the review of C-scan data that turns a detection rate into a validated number.

What it demands

  • Personnel qualified through a written practice aligned with SNT-TC-1A
  • A Level III grade for data interpretation and sign-off
  • Validation of the detection figure against a Level III re-review rather than a baseline
  • A record tying each dataset to its qualification level

How it lands on a blade scan

The 99.2 % figure is what a Level III review makes defensible. Manual UT detection runs at 87 % at Level II, and the automated figure of 99.2 % is validated against an ASNT Level III re-review of all C-scan data rather than against the manual baseline alone. The AI layer is held to the same standard, agreeing with ASNT Level III review at 99.2 % on delamination, porosity and disbond classification, and trained on over 10,000 blade inspections across 10+ countries. So the qualification framework and the software figure point at the same reference, which is a qualified human reviewing the data.

How to apply it to a blade

Run these checks in order. By Step 5 the scan plan has the threshold, the geometry and the record it needs.

  1. Fix the acceptance threshold. Start from the threshold the zone carries, not from the method you happen to own. IEC 61400-5 Section 11 asks for volumetric detection of indications 6 mm and larger in the laminate plane, and DNV-ST-0126 tightens the leading edge to 3 mm, so the threshold is set before the probe is chosen.
  2. Read the geometry off the drawing. Measure the thickness and the curvature the probe has to travel. A spar cap up to 80 mm of unidirectional laminate and a root transition of changing radius are two different scan problems, and the radius decides how the array is coupled.
  3. Choose the modality pair. Pick modules by defect geometry, not by habit. PAUT images planar separations that lie parallel to the plies, TOFD catches volumetric clusters whatever their orientation, and running both on a 256-channel system puts the two mechanisms in one pass.
  4. Automate the scan path. Put the probe on an encoder-driven carriage and let the path, not the technician, set coverage. A 600 mm spar cap falls to one longitudinal pass at 500 mm/s on a linear array, where a single-element probe needs 20 parallel passes and runs about five times longer.
  5. Lock the evidence chain. Write the coverage map, the daily calibration and the indication log to the blade serial while the scan is running. It is the difference between a 3-day type-certification audit and a 3-hour document review, and it is what ISO 9712 qualification is there to sign.

These are the working numbers from our own machine and campaign records, restated rather than re-pitched.

Frequently Asked Questions

What is SNT-TC-1A?

The recommended practice for qualifying and certifying NDT personnel within a company, across levels. On a blade programme the Level III grade it describes is the one behind data interpretation and sign-off, including the review that validates a detection figure.

How is the 99.2 % detection figure validated?

Against an ASNT Level III re-review of all C-scan data, not against the manual baseline alone. Manual UT detection runs at 87 % at Level II, so the automated figure is held to a qualified human review rather than to the method it replaced.

Does the AI classification carry the same validation?

Yes. The AI layer agrees with ASNT Level III review at 99.2 % on delamination, porosity and disbond classification, and it is trained on over 10,000 blade inspections across 10+ countries, so the software figure points at the same reference as the human one.

Why not just compare against manual inspection?

Because manual inspection is the method being replaced and it carries 15-25 % operator variation. Validating against a Level III review of the actual data gives the number a reference that stands on its own rather than one inherited from the old method.

Bottom line: SNT-TC-1A and ASNT Level III are the framework that makes a detection figure defensible, because 99.2 % is validated by a Level III re-review of the data rather than by the method it replaced. Qualify the people, validate against the review, and tie each dataset to its level.

Standards and sources

Need this checked against your blade programme?

Send the blade length, the zone and the acceptance threshold you work to. We reply with the scan plan and the detection numbers that fit, drawn from the same verified data as this page.

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