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A mechanism-data fusion framework for process-microstructure prediction and optimization ...

Published

5 September 2026

Topic

opportunities

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Manufacturing Tech

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Read at eurekalert.org

Verified

Fusion42 · 6 September 2026 · Fusion42 review

Researchers developed a mechanism-data fusion framework combining multiscale finite element and phase-field modeling with a dual-level LSTM surrogate model to rapidly predict and optimise microstructure evolution in laser directed energy deposition of Ti-6Al-4V, significantly reducing computational time and improving prediction accuracy.

This Wire brief sits within Fusion42's coverage of Manufacturing Tech.

◆ The Wire takeaway

You can now cut metal 3D printing development cycles with a new AI-boosted model that links process settings to microstructure fast. This unlocks quicker tuning of laser deposition parameters to improve material quality and production speed.

Coverage

1 source · 5 Sep 2026

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Topics

Manufacturing Techadditive-manufacturingprocess-optimizationmachine-learningmetal-printingmicrostructure-prediction