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Properties and Selection: Irons, Steels, and High-Performance Alloys
Abstract
Volume 1 addresses the selection and application of ferrous metals and alloys, including cast irons, carbon and low-alloy steels, tool steels, stainless steels, and nickel and cobalt-base superalloys. As the lead volume in the Handbook series, it lays the groundwork for understanding the hierarchical nature of metals and how to leverage the underlying process, structure, property, performance relationships that define them. The volume draws on the knowledge and insight of more than 200 experts with experience in materials-centric product design, manufacturing, and quality control. It contains more than 1,300 illustrations (photographs, charts, and graphs) and over 500 tables filled with alloy designation, composition, and mechanical and physical property data. For information on the print version of Volume 1, ISBN 978-0-87170-377-4, follow this link.
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Cited by
On the superior hot hardness and softening resistance of AlCoCrxFeMo0.5Ni high-entropy alloys
Hsu, C.-Y., Juan, C.-C., Wang, W.-R., Sheu, T.-S., Yeh, J.-W., & Chen, S.-K. (2011) · Materials Science and Engineering: A · doi:10.1016/j.msea.2011.01.072 · Cited by 356
LeBrun, T., Nakamoto, T., Horikawa, K., & Kobayashi, H. (2015) · Materials & Design · doi:10.1016/j.matdes.2015.05.026 · Cited by 298
Allocco, D. J., Cannon, L. A., Britt, A., Heil, J. E., Nersesov, A., Wehrenberg, S., Dawkins, K. D., & Kereiakes, D. J. (2010) · Trials · doi:10.1186/1745-6215-11-1 · Cited by 159
Metadata
- Venue
- ASM International eBooks
- Publisher
- ASM International
- Published
- 1990-01-01
- OpenAlex
- W564450410
- Cited by
- 964
- References
- 0
- FWCI
- 0.00
- Type
- book
- Language
- en
- Open access
- closed
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- Properties and Selection: Irons, Steels, and High-Performance Alloys. (1990). ASM International eBooks. https://doi.org/10.31399/asm.hb.v01.9781627081610
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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.
