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Application of machine learning method for hardness prediction of metal materials fabricated by 3D selective laser melting
ID
Babič, Matej
(
Author
),
ID
Šturm, Roman
(
Author
),
ID
Rucki, Mirosłav
(
Author
),
ID
Siemiątkowski, Zbigniew
(
Author
)
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(2,66 MB)
MD5: 5524A65D8C737A6ABF65D7421DE44F79
URL - Source URL, Visit
https://www.mdpi.com/2076-3417/15/23/12832
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Language:
English
Keywords:
additive manufacturing
,
SLM
,
machine learning
,
hardness prediction
,
fractal geometry
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2025
Number of pages:
18 str.
Numbering:
Vol. 15, issue 23, art. 12832
PID:
20.500.12556/RUL-177367
UDC:
004.85:621.9
ISSN on article:
2076-3417
DOI:
10.3390/app152312832
COBISS.SI-ID:
261233923
Publication date in RUL:
22.12.2025
Views:
42
Downloads:
7
Metadata:
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Record is a part of a journal
Title:
Applied sciences
Shortened title:
Appl. sci.
Publisher:
MDPI
ISSN:
2076-3417
COBISS.SI-ID:
522979353
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
aditivna proizvodnja
,
SLM
,
strojno učenje
,
napovedovanje trdote
,
fraktalna geometrija
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