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Quantifying complex influences of chemical composition and soaking conditions for increasing the hot workability of M2 high-speed steel by using the alternative approach
ID
Peruš, Iztok
(
Author
),
ID
Palkowski, Heinz
(
Author
),
ID
Kugler, Goran
(
Author
),
ID
Terčelj, Milan
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S2238785420317543
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Abstract
The conditions for increasing the hot workability and extending the temperature range for the safe hot working of M2 high-speed steel (HSS) were studied and revealed. This was enabled by combination of two approaches, i.e. results obtained by an analysis of so individual as well as spatial influences of chemical elements on the hot workability using a conditional average estimator neural networks in combination with the results obtained from hot-compression tests that revealed the appropriate soaking conditions. The Latin Hypercube Sampling technique was used to model the uncertainty of the collected data used in the analysis. The obtained results reveal new, surprisingly complex, typically spatial and (highly) non-linear relationships between the chemical elements and the hot workability of M2 HSS, i.e. common mutual influence of carbon, carbide-forming elements as well as elements, i.e. Si, Mn and Co, which indirectly influence the formation of carbides. Further also new allowed upper limits for contents of some harmful elements like S, P, Al, Sb, Cu, Sn, As, Ni, etc. at which transition from higher to lower workability takes place were revealed. Finally, by applying a specially developed procedure for hot-compression tests the appropriate soaking time and temperature were assessed. New findings explain and considerably improve the intrinsic hot workability and extend the temperature range for safe hot working at its upper and lower limits.
Language:
English
Keywords:
M2 HSS
,
hot workability
,
hot compression
,
hot torsion
,
chemical compositions
,
Latin Hypercube Sampling
,
neural networks
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
NTF - Faculty of Natural Sciences and Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2020
Number of pages:
Str. 13301-13311
Numbering:
Vol. 9, iss. 6
PID:
20.500.12556/RUL-144725
UDC:
669
ISSN on article:
2238-7854
DOI:
10.1016/j.jmrt.2020.09.029
COBISS.SI-ID:
30450435
Publication date in RUL:
09.03.2023
Views:
727
Downloads:
87
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Record is a part of a journal
Title:
Journal of Materials Research and Technology
Shortened title:
J. Mater. Res. Technol.
Publisher:
Elsevier
ISSN:
2238-7854
COBISS.SI-ID:
519699737
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0268
Name:
Geotehnologija
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0344
Name:
Napredna metalurgija
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