Manufacturing AI / Heat Treatment / HT-2026-041
JE
J. Engineer
Engineering analysis

Microstructure Prediction

Estimate phase fractions and spatial gradients; compare simulation with metallography.

3D phase distribution

Candidate B · modeled section map

Martensite
91.4%
Bainite
6.8%
Retained γ
1.8%

Section profile

Surface → core

Target met
Surface96% M
Mid-radius92% M
Core86% M
Microstructure verdict
Core transformation remains within the current target envelope. Model uncertainty is higher at the center because historical core-cooling data is sparse.

Metallography AI

Upload microscope image for automated phase/defect assessment

Martensite estimate
89.2%
vision confidence 0.93
Grain size
ASTM 8.2
vision confidence 0.90
Microcrack
Not detected
vision confidence 0.96