Advancing inspection techniques for coating durability: A framework for integrating non-destructive testing technologies

Emmanuella Onyinye Nwulu 1, *, Tari Yvonne Elete 2, Friday Emmanuel Adikwu 3 and Fidelis Othuke Onyeke 4

1 SNEPCo (Shell Nigeria Exploration and Production Company) Lagos. Nigeria.
2 Independent Researcher, Georgia, USA.
3 Waltersmith Refining and Petrochemical Company Ltd, Lagos, Nigeria.
4 Shell Petroleum and Development Company (SPDC), Port Harcourt Nigeria.
 
Research Article
International Journal of Scientific Research Updates, 2024, 08(02), 164-174.
Article DOI: 10.53430/ijsru.2024.8.2.0069
Publication history: 
Received on 07 November 2024; revised on 14 December 2024; accepted on 17 December 2024
 
Abstract: 
The durability of coatings plays a pivotal role in safeguarding infrastructure from environmental degradation, mechanical stress, and chemical exposure. This study proposes a comprehensive framework for integrating advanced non-destructive testing (NDT) technologies to enhance the inspection and monitoring of coating durability. By leveraging cutting-edge methods such as ultrasonic testing, infrared thermography, eddy current testing, and digital imaging, the framework aims to identify defects, assess coating integrity, and predict lifespan with higher precision and reliability. The integration of data-driven analytics and machine learning further optimizes inspection efficiency, offering predictive insights and enabling proactive maintenance strategies. Case studies in industrial, marine, and aerospace applications demonstrate the effectiveness of the proposed approach, showcasing improved decision-making processes, reduced operational downtime, and cost savings. This framework establishes a scalable and adaptable methodology for advancing coating inspection practices across various sectors, fostering enhanced performance and sustainability in protective coating systems.
 
Keywords: 
Coating durability; Ultrasonic testing; Digital imaging; Predictive maintenance; Machine learning; Inspection framework
 
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