Open Access

Determining the Enthalpy of an Fe-Ni Alloy at Various Temperatures Using the ‘STA’ PT 1600 Equipment

Zarife Bajraktari-Gashi

Zarife Bajraktari-Gashi

Faculty of Geoscience, Department of Materials and Metallurgy, University of Mitrovica “Isa Boletini”Mitrovica, Republic of Kosovo
Search for this author on
Sciendo|Google Scholar
Bajraktari-Gashi, Zarife
, 
Izet Ibrahim

Izet Ibrahim

Faculty of Geoscience, Department of Materials and Metallurgy, University of Mitrovica “Isa Boletini”Mitrovica, Republic of Kosovo
Search for this author on
Sciendo|Google Scholar
Ibrahim, Izet
 and 
Erard Morina

Erard Morina

NewCo Ferronikeli Complex L.L.C.Gllogoc, Republic of Kosovo
Search for this author on
Sciendo|Google Scholar
Morina, Erard
  
Sep 04, 2023
Determining the Enthalpy of an Fe-Ni Alloy at Various Temperatures Using the ‘STA’ PT 1600 Equipment's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Article Category: Original Scientific Article
Published Online: Sep 04, 2023
Page range: 51 - 55
Received: Jan 07, 2021
Accepted: Jun 12, 2021
DOI: https://doi.org/10.2478/rmzmag-2021-0012
Keywords
© 2021 Zarife Bajraktari-Gashi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

View of a metal casting of refined Fe-Ni.
View of a metal casting of refined Fe-Ni.

Figure 2

View of Fe-Ni alloy (granule) [2].
View of Fe-Ni alloy (granule) [2].

Figure 3

Preparation of the sample (UMIB).
Preparation of the sample (UMIB).

Figure 4

Measuring weight of the sample on an analytical scale.
Measuring weight of the sample on an analytical scale.

Figure 5

LINSEIS PT 1600 (UMIB laboratory).
LINSEIS PT 1600 (UMIB laboratory).

Figure 6

Determination of the enthalpy of the Fe-Ni alloy in LINSEIS ‘PT STA 1600’ at UMIB.
Determination of the enthalpy of the Fe-Ni alloy in LINSEIS ‘PT STA 1600’ at UMIB.

Composition of Fe-Ni alloy [2]

Ni Fe S C Co P Si Cr Cu
22.55% 76.51% 0.12% 0.01% 0.75% 0.01% 0.01% 0.01% 0.03%
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Databases and Data Mining, Geosciences, Geodesy, Geology and Mineralogy, Materials Sciences, Materials Characterization and Properties
Journal RSS Feed