Enhancing Boiler Machinery Corrosion Resistance with AI and ML - Driven Thermal Spray Coatings |
Author(s): |
| Rakesh Kumar , Department of Quality Assurance and Regulatory Affairs, Kaushik Orthopedic Pvt. Ltd. Sonipat, Haryana, Punjab. ; Chirag, Department of Computer Science and Engineering, CGC-College of Engineering, Landran, Mohali, Punjab; Bhuwan Thapa, Department of Computer Science and Engineering, CGC-College of Engineering, Landran, Mohali, Punjab; Aditya Abhishek, Department of Computer Science and Engineering, CGC-College of Engineering, Landran, Mohali, Punjab |
Keywords: |
| Corrosion, Thermal Spray Coatings, Artificial Intelligence (AI), Machine Learning (ML), Optimization, Performance Prediction, Corrosion Monitoring, Boiler Machinery |
Abstract |
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Across many sectors, corrosion is a constant concern that requires efficient mitigation techniques. The application of artificial intelligence (AI) and machine learning (ML) is improving the performance of thermal spray coatings, which have become a flexible option. This study investigates how thermal spray coating might lessen corrosion on high-performance equipment like boilers. Next, the use of AI and ML to forecast coating performance, optimize thermal spray procedures, and enable sophisticated corrosion monitoring. AI/ML algorithms can forecast corrosion behavior, find crucial factors, and help create new, high-performance coatings by evaluating massive datasets. This opens the door to increased corrosion resistance and longer material lifespan. |
Other Details |
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Paper ID: IJSRDV13I30070 Published in: Volume : 13, Issue : 3 Publication Date: 01/06/2025 Page(s): 79-83 |
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