Conference Tools for 2026 TMS Annual Meeting & Exhibition

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Meeting

2026 TMS Annual Meeting & Exhibition

Symposium

Artificial Intelligence Applications in Integrated Computational Materials Engineering (AI-ICME)

Presentation Title

Blacksmithing AI: Using a Large Language Model to Predict Workpiece Shapes and Manufacturing Operations for Automated Manufacturing

Author(s)

Tara Wagoner, Nathan Bianco, Rana Bakhtiyarzade, Colton Wright, Thomas Banko, Josh Groves, Brian Thurston, Alexander Bandar, Michael Groeber, Dennis Dimiduk, Glenn Daehn, Steve Niezgoda

On-Site Speaker (Planned)

Tara Wagoner

Abstract Scope

HAMMER (Hybrid Autonomous Manufacturing: Moving from Evolution to Revolution) is a multidisciplinary research program focused on enabling autonomous production of complex, custom, near-net-shaped parts across industries such as healthcare, automotive, and aerospace. A key challenge is developing software capable of predicting intermediate geometries and manufacturing operations needed to transform an initial workpiece into a final part. This project automates multimodal data extraction to generate training datasets for a large language model (LLM). Sources include manufacturing manuals, blacksmithing textbooks, FEM simulations, Agility Forge experiments, gamified forging platforms, and tutorial videos (e.g., YouTube). Visual data is filtered using a convolutional neural network (CNN) to identify images with relevant shape and context features, then linked to associated text for LLM training. The resulting system enables users to input initial and final geometries and receive a predicted sequence of intermediate shapes and corresponding manufacturing steps—supporting autonomous process planning and advancing digital blacksmithing capabilities.

Proceedings Inclusion?

Planned:

Keywords

Computational Materials Science & Engineering, ICME, Machine Learning

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