The prediction of solid solubility of alloys: developments and applications of Hume-Rothery’s rules
The prediction of solid solubility of alloys: developments and applications of Hume-Rothery’s rules
In the 1920s, Hume-Rothery helped to make the art of metallurgy into a science by the discovery of rules for the prediction of solubility in alloys. Their simplicity and generality made them become one of the most important rules in materials science. In the few decades after Hume-Rothery’s discovery, many researchers have tried to make “corrections” to H-R rules aiming to make them work better in general alloy systems. Those researches included explanations of the rules using quantum and electron theories and new combinations of the factors to give better mapping. In this paper, we review most of these contributions and introduce recent progress in solubility prediction using artificial neural networks
103-119
Zhang, Y.M.
fcc93306-15b2-4fba-963b-579bba27bde3
Evans, J.R.G.
6f6c8a4c-24ac-4144-a555-51438e4d40e0
Yang, Shoufeng
e0018adf-8123-4a54-b8dd-306c10ca48f1
July 2010
Zhang, Y.M.
fcc93306-15b2-4fba-963b-579bba27bde3
Evans, J.R.G.
6f6c8a4c-24ac-4144-a555-51438e4d40e0
Yang, Shoufeng
e0018adf-8123-4a54-b8dd-306c10ca48f1
Zhang, Y.M., Evans, J.R.G. and Yang, Shoufeng
(2010)
The prediction of solid solubility of alloys: developments and applications of Hume-Rothery’s rules.
The Journal of Crystallization Physics and Chemistry, 1 (2), .
Abstract
In the 1920s, Hume-Rothery helped to make the art of metallurgy into a science by the discovery of rules for the prediction of solubility in alloys. Their simplicity and generality made them become one of the most important rules in materials science. In the few decades after Hume-Rothery’s discovery, many researchers have tried to make “corrections” to H-R rules aiming to make them work better in general alloy systems. Those researches included explanations of the rules using quantum and electron theories and new combinations of the factors to give better mapping. In this paper, we review most of these contributions and introduce recent progress in solubility prediction using artificial neural networks
Text
Review_H-R_paper_revised.doc
- Author's Original
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Published date: July 2010
Organisations:
Engineering Mats & Surface Engineerg Gp
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Local EPrints ID: 172201
URI: http://eprints.soton.ac.uk/id/eprint/172201
ISSN: 2229-5941
PURE UUID: a3a2b581-6716-41fe-a9cd-7d300652eb47
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Date deposited: 25 Jan 2011 11:34
Last modified: 14 Mar 2024 02:28
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Author:
Y.M. Zhang
Author:
J.R.G. Evans
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