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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Bibliographic Details
Published in:Journal of materials engineering and performance Vol. 34; no. 22; pp. 26181 - 26193
Main Authors: Dutta, Souradeep, Sarma, Deba Kumar, Dutta, Hrishikesh
Format: Journal Article
Language:English
Published: New York Springer US 01.11.2025
Springer Nature B.V
Subjects:
Alloying
Alloys
Characterization and Evaluation of Materials
Chemistry and Materials Science
Contact angle
Corrosion and Coatings
Corrosion resistance
Electric discharges
Engineering Design
Genetic algorithms
Hardness
Hastelloy (trademark)
Manufacturers
Materials Science
Microcracks
Morphology
Optimization
Original Research Article
Plasma etching
Powder metallurgy
Quality Control
Reliability
Safety and Risk
Solid lubricants
Substrates
Surface roughness
Tribology
Vegetable oils
Wear rate
Wear resistance
Wear tests
Zinc oxide
surface alloying
hastelloy C 276
concentration
GRGA
optimization
GRA
ISSN:1059-9495, 1544-1024
Online Access:Get full text
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Summary: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.
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ISSN:1059-9495
1544-1024
DOI:10.1007/s11665-025-11761-x