Improvements in quench factor modelling
Improvements in quench factor modelling
In this contribution, the validity of a number of key quench factor analysis (QFA) assumptions is discussed. It is shown that the incorporation of a square root dependency of yield strength on precipitate volume fraction provides a sounder physical basis for quench factor modelling. Peak-aged strength/hardness prediction accuracies are not affected, but C-curve positions are. It is also demonstrated that transformation kinetics are described more correctly by a modified Starink–Zahra equation than by a Johnson–Mehl–Avrami–Kolmogorov type equation, yielding better prediction accuracies when a physically realistic Avrami exponent of 1.5 or greater is used. Finally, a regular solution model is introduced to quantify the influence of the solute solubility temperature-dependency on the minimum strength. These improvements are all implemented within the framework of classical QFA.
quench factor analysis, model, time–temperature-transformation, time–temperature-property, nucleation, transformation kinetics
255-264
Rometsch, P.A.
d42d9026-717d-4374-a7f3-ca8d3192363b
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
2003
Rometsch, P.A.
d42d9026-717d-4374-a7f3-ca8d3192363b
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
Rometsch, P.A., Starink, M.J. and Gregson, P.J.
(2003)
Improvements in quench factor modelling.
Materials Science and Engineering: A, 339 (1-2), .
(doi:10.1016/S0921-5093(02)00110-7).
Abstract
In this contribution, the validity of a number of key quench factor analysis (QFA) assumptions is discussed. It is shown that the incorporation of a square root dependency of yield strength on precipitate volume fraction provides a sounder physical basis for quench factor modelling. Peak-aged strength/hardness prediction accuracies are not affected, but C-curve positions are. It is also demonstrated that transformation kinetics are described more correctly by a modified Starink–Zahra equation than by a Johnson–Mehl–Avrami–Kolmogorov type equation, yielding better prediction accuracies when a physically realistic Avrami exponent of 1.5 or greater is used. Finally, a regular solution model is introduced to quantify the influence of the solute solubility temperature-dependency on the minimum strength. These improvements are all implemented within the framework of classical QFA.
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Published date: 2003
Keywords:
quench factor analysis, model, time–temperature-transformation, time–temperature-property, nucleation, transformation kinetics
Organisations:
Engineering Mats & Surface Engineerg Gp, Engineering Sciences
Identifiers
Local EPrints ID: 22006
URI: http://eprints.soton.ac.uk/id/eprint/22006
ISSN: 0921-5093
PURE UUID: 7887356f-884d-4dbb-9dd2-f0caf1bfe02d
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Date deposited: 15 Mar 2006
Last modified: 15 Mar 2024 06:34
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Author:
P.A. Rometsch
Author:
P.J. Gregson
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