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The Superalloys: Fundamentals and Applications
Abstract
Superalloys are unique high-temperature materials used in gas turbine engines, which display excellent resistance to mechanical and chemical degradation. This book presents the underlying metallurgical principles which have guided their development and practical aspects of component design and fabrication from an engineering standpoint. The topics of alloy design, process development, component engineering, lifetime estimation and materials behaviour are described, with emphasis on critical components such as turbine blading and discs. The first introductory text on this class of materials, it will provide a strong grounding for those studying physical metallurgy at the advanced level, as well as practising engineers. Included at the end of each chapter are exercises designed to test the reader's understanding of the underlying principles presented. Solutions for instructors and additional resources are available at www.cambridge.org/9780521859042.
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Citations
Cited by
Dehoff, R. R., Kirka, M. M., Sames, W. J., Bilheux, H., Tremsin, A. S., Lowe, L. E., & Babu, S. S. (2015) · Materials Science and Technology · doi:10.1179/1743284714y.0000000734 · Cited by 555
Cruchley, S., Evans, H., & Taylor, M. (2016) · Materials at High Temperatures · doi:10.1080/09603409.2016.1171952 · Cited by 75
Effect of Rhenium Addition on Hot Corrosion Resistance of Ni-Based Single Crystal Superalloys
Chang, J. X., Wang, D., Liu, X. G., Lou, L. H., & Zhang, J. (2018) · Metallurgical and Materials Transactions A · doi:10.1007/s11661-018-4711-3 · Cited by 30
Metadata
- Authors
- Reed, R. C.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2006-09-07
- OpenAlex
- W2901544834
- Cited by
- 2,369
- References
- 0
- FWCI
- 21.25
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.