Surface Coating of Hastelloy C 276 by WS2 Added Meso-electrical Discharge Alloying Process
The current research optimizes the coating parameters which resulted a solid lubricating hard, wear-resistant layer over the surface of Hastelloy C 276 through WS 2 powder added meso-electrical discharge alloying process. It investigates the impact of process characteristics i.e., gap voltage ( V a...
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| Vydáno v: | Journal of materials engineering and performance Ročník 34; číslo 22; s. 26181 - 26193 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Springer US
01.11.2025
Springer Nature B.V |
| Témata: | |
| ISSN: | 1059-9495, 1544-1024 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | The current research optimizes the coating parameters which resulted a solid lubricating hard, wear-resistant layer over the surface of Hastelloy C 276 through WS
2
powder added meso-electrical discharge alloying process. It investigates the impact of process characteristics i.e., gap voltage (
V
a
), pulse on time (
t
on
), and WS
2
powder concentration (
P
c
) on the material deposition rate (MDR), surface roughness (
R
a
), and hardness of the modified surface. The rise in
V
a
and
t
on
increases the MDR,
R
a
and hardness, whereas the surge in
P
c
increases the MDR, reduces the
R
a
and enhances the hardness of the coated surface. The proposed hybrid optimization method gray relational-based genetic algorithm (GRGA) raises the MDR and hardness by 16.15 and 11.89%, respectively, and reduces the
R
a
by 15.71% compared to the gray relational analysis method. No noticeable micro-voids and micro-cracks were obtained at the optimal GRGA condition. Energy-dispersive x-ray spectroscopy and x-ray diffraction analysis at GRGA conditions verify the presence of different elements and hard phases like MoO
2
, ZnO, WC and WO
3
on the alloyed surface. The coated surface at the GRGA optimum setting has the lowest specific wear rate as compared to the HC 276 substrate. |
|---|---|
| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1059-9495 1544-1024 |
| DOI: | 10.1007/s11665-025-11761-x |