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  4. 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
 
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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
Author(s)
Asami, Mohammad Karim  orcid-logo
Laser- und Anlagensystemtechnik T-2  
Roth, Sebastian  orcid-logo
Laser- und Anlagensystemtechnik T-2  
Other Contributor
Herzog, Dirk  orcid-logo
Röver, Tim  orcid-logo
Emmelmann, Claus  orcid-logo
Krukenberg, Michel  
Language
English
DOI
10.15480/882.8838
TORE-URI
https://hdl.handle.net/11420/44241
Cites
10.2351/7.0001174
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
https://mit-license.org/
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

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