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AI-Driven Innovation: Transforming Industries and Enhancing Material Performance through Advanced Surface Engineering

Author(s):

Navneet Kaur , CGC-College of Engineering, CGC, Landran, Mohali, Punjab; Praveen Kumar, CGC-College of Engineering, CGC, Landran, Mohali, Punjab; Ruby, CGC-College of Engineering, CGC, Landran, Mohali, Punjab; Priyanka Garg, CGC-College of Engineering, CGC, Landran, Mohali, Punjab; Rakshit Mehta, CGC-College of Engineering, CGC, Landran, Mohali, Punjab

Keywords:

Artificial Intelligence, Use Cases, Advantages, Future Outlook, Potential Challenges, Emerging Trends, Industry Impact, Thermal Power Plant, Thermal Spray Coatings

Abstract

Artificial intelligence (AI) is rapidly revolutionizing industries across various sectors, driving innovation in areas ranging from automation and data analytics to the development of novel materials and processes. This paper explores the transformative potential of AI-driven innovation, highlighting its impact on diverse fields. While examining the broad spectrum of AI applications, a specific focus is placed on the critical challenge of material degradation due to corrosion in industrial systems. To illustrate AI's indirect yet significant role in advancing solutions to such challenges, this paper delves into the application of thermal spray coatings for combating corrosion in boiler steel. By optimizing coating design, deposition processes, and predictive maintenance strategies, AI can contribute to the enhanced performance and longevity of materials in demanding environments. This exploration demonstrates how AI, even when not directly controlling the coating process, can be instrumental in improving material selection, process efficiency, and ultimately, the resilience of critical industrial infrastructure. The insights presented underscore the pervasive influence of AI in fostering innovation and addressing long-standing engineering challenges through advanced material science and surface engineering principles.

Other Details

Paper ID: IJSRDV13I30127
Published in: Volume : 13, Issue : 3
Publication Date: 01/06/2025
Page(s): 179-185

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