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<p>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<sub>2</sub> powder added meso-electrical discharge alloying process. It investigates the impact of process characteristics i.e., gap voltage (<i>V</i><sub>a</sub>), pulse on time (<i>t</i><sub>on</sub>), and WS<sub>2</sub> powder concentration (<i>P</i><sub>c</sub>) on the material deposition rate (MDR), surface roughness (<i>R</i><sub>a</sub>), and hardness of the modified surface. The rise in <i>V</i><sub>a</sub> and <i>t</i><sub>on</sub> increases the MDR, <i>R</i><sub>a</sub> and hardness, whereas the surge in <i>P</i><sub>c</sub> increases the MDR, reduces the <i>R</i><sub>a</sub> 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 <i>R</i><sub>a</sub> 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<sub>2</sub>, ZnO, WC and WO<sub>3</sub> 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.</p>

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Surface Coating of Hastelloy C 276 by WS2 Added Meso-electrical Discharge Alloying Process

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Souradeep Dutta,
  • Deba Kumar Sarma,
  • Hrishikesh Dutta

摘要

The current research optimizes the coating parameters which resulted a solid lubricating hard, wear-resistant layer over the surface of Hastelloy C 276 through WS2 powder added meso-electrical discharge alloying process. It investigates the impact of process characteristics i.e., gap voltage (Va), pulse on time (ton), and WS2 powder concentration (Pc) on the material deposition rate (MDR), surface roughness (Ra), and hardness of the modified surface. The rise in Va and ton increases the MDR, Ra and hardness, whereas the surge in Pc increases the MDR, reduces the Ra 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 Ra 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 MoO2, ZnO, WC and WO3 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.