AdditiveLLM: Large language models predict defects in metals additive manufacturing

In this work we investigate the ability of large language models to predict additive manufacturing defect regimes given a set of process parameter inputs. For this task we utilize a process parameter defect dataset to fine-tune a collection of models, titled AdditiveLLM, for the purpose of predictin...

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Bibliographic Details
Main Authors: Peter Pak, Amir Barati Farimani
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Additive Manufacturing Letters
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S277236902500026X
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