Towards a generic physics-based machine learning model for geometry invariant thermal history prediction in additive manufacturing

Title
Towards a generic physics-based machine learning model for geometry invariant thermal history prediction in additive manufacturing
Authors
Keywords
Additive manufacturing, Machine learning, Feature engineering, Finite element method, Data-driven, Thermal predictions
Journal
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Volume 302, Issue -, Pages 117472
Publisher
Elsevier BV
Online
2021-12-31
DOI
10.1016/j.jmatprotec.2021.117472

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started