M. G. Hocking
Advances in materials performance require the development of composite systems, of which coated materials are one form. The objective of this review is to summarize the importance of protective coatings in improving abrasion and corrosion resistance, particularly in severe environments. Methodologically, the review discusses various coating systems, their performance in high-temperature applications, and their role in critical industries such as coal gasification, waste incineration, and power generation. Results indicate that the effectiveness of thick coatings in resisting high temperature corrosion in diesel and gas turbine engines, along with their use in nuclear power systems, highlights the growing significance of this industry. The review also addresses challenges related to substrate compatibility, adhesion, porosity, and the overall design of substrate and coating systems, emphasizing the need to integrate all features to optimize function and cost efficiency.
@article{a8807fe8-39e7-4864-8f20-cd4bc308de9b,
title={Coatings resistant to erosive/corrosive and severe environments},
author={M. G. Hocking},
year={1993},
language={en}
}TY - JOUR TI - Coatings resistant to erosive/corrosive and severe environments AU - M. G. Hocking PY - 1993 LA - en ER -
Arthur C. Reardon
This publication, edited by Arthur C. Reardon and published by ASM International®, serves as a comprehensive guide in the field of materials science.
W. Hoffelner
Structural materials must be able to operate under demanding exposure conditions, particularly for advanced nuclear plants where challenges arise from
Msc. Shaymaa Mahmood
The evolution of mankind has been marked by the ability to utilize and develop various materials to meet human needs. This paper explores the signific
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t