A PyTorch LSTM model that predicts the thermal history of individual measurement points during laser powder bed fusion (PBF-LB/M) additive manufacturing. The model uses teacher-forcing during training and supports both teacher-forcing and auto-regressive (inference) forward modes. An ensemble training workflow is included for uncertainty quantification.

Version v1.0.0

Full-text publication: GitLab repository: https://gitlab.kit.edu/kit/iam-wk-public/iam-wk-fub-deep-learning-pbf-lb Trained model dataset: https://doi.org/10.35097/37da9d66y4t27q55 Training-Validation-Testing Dataset: https://doi.org/10.35097/pmem1cb9gu1ck8xz Full-text publication for the FEM simulation model: https://doi.org/10.1080/17452759.2023.2271455

Readme.md is located in the .zip archive