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Additional Data: ML-Algorithm Source Code; for Publication: PREDICTIVE MODELING OF LATTICE STRUCTURE DESIGN FOR 316L STAINLESS STEEL USING MACHINE LEARNING IN THE L-PBF PROCESS
Citation Link: https://doi.org/10.15480/882.8838
Type
Source Code
Version
final version
Date Issued
2024-01-25
Language
English
TORE-DOI
Abstract
This is the Source Code of the ML Algorithm that was trained with the corresponding data set to predict the optimal design of the infill structure based on a given set of mechanical requirements
Subjects
ML-Algorithm
Predictive Modeling
Lattice structure
L-PBF
Infill structure
DDC Class
621: Applied Physics
License
No Thumbnail Available
Name
algorithm_predictive_modeling.py
Size
7.25 KB
Format
Python
No Thumbnail Available
Name
ReadMe.txt
Size
2.29 KB
Format
Text