Modelling of microstructural effects in the fatigue of austempered ductile iron
Modelling of microstructural effects in the fatigue of austempered ductile iron
Predicted global amounts of bainite within austempered ductile iron correspond well to hardness, toughness and some aspects of damage tolerance. However, local microstructural fatigue events (e.g. fatigue initiation) do not correlate simply to overall predictions of phase distributions within the microstructure, appearing to be dependent on a complex combination of size and morphology of microstructural features. Fatigue evaluation of high hardness austempered ductile iron (ADI) has established the role of graphite nodule clustering and size in crack initiation. Adaptive numerical modelling, the SUpport vector Parsimonious ANalysis Of VAriance (SUPANOVA) approach, has been applied to image analysis data to identify those features which distinguish between the graphite nodules which initiate fatigue and those that do not. Critical crack initiating features are identified to be a combination of graphite nodule size and local clustering within a mesoscopic region containing a lower volume fraction of graphite nodules. The interpretable features introduced by the SUPANOVA technique allow visualisation of these complicated relationships, whilst maintaining a 72% successful classification rate.
fatigue micromechanisms, austempered ductile iron, microstructural prediction, classification, adaptive numerical modelling
273-286
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Thomson, R.C.
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James, J.S.
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Putman, D.C.
17df5047-0451-41eb-aa67-a9369f304cbd
Lee, K.K.
9fec08f0-7782-4d2e-9313-73ed74fd8d53
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
15 April 2003
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Thomson, R.C.
8e9ac990-b234-488a-bc4d-1470a63ec93a
James, J.S.
db0e51d9-773e-412f-b309-27a9a8e9d8cb
Putman, D.C.
17df5047-0451-41eb-aa67-a9369f304cbd
Lee, K.K.
9fec08f0-7782-4d2e-9313-73ed74fd8d53
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Reed, P.A.S., Thomson, R.C., James, J.S., Putman, D.C., Lee, K.K. and Gunn, S.R.
(2003)
Modelling of microstructural effects in the fatigue of austempered ductile iron.
Materials Science and Engineering: A, 346 (1-2), .
(doi:10.1016/S0921-5093(02)00545-2).
Abstract
Predicted global amounts of bainite within austempered ductile iron correspond well to hardness, toughness and some aspects of damage tolerance. However, local microstructural fatigue events (e.g. fatigue initiation) do not correlate simply to overall predictions of phase distributions within the microstructure, appearing to be dependent on a complex combination of size and morphology of microstructural features. Fatigue evaluation of high hardness austempered ductile iron (ADI) has established the role of graphite nodule clustering and size in crack initiation. Adaptive numerical modelling, the SUpport vector Parsimonious ANalysis Of VAriance (SUPANOVA) approach, has been applied to image analysis data to identify those features which distinguish between the graphite nodules which initiate fatigue and those that do not. Critical crack initiating features are identified to be a combination of graphite nodule size and local clustering within a mesoscopic region containing a lower volume fraction of graphite nodules. The interpretable features introduced by the SUPANOVA technique allow visualisation of these complicated relationships, whilst maintaining a 72% successful classification rate.
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Published date: 15 April 2003
Keywords:
fatigue micromechanisms, austempered ductile iron, microstructural prediction, classification, adaptive numerical modelling
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Electronic & Software Systems
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Local EPrints ID: 257849
URI: http://eprints.soton.ac.uk/id/eprint/257849
ISSN: 0921-5093
PURE UUID: 465281bf-dbd2-488b-b7f3-b0ed014cd9ca
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Date deposited: 29 Nov 2003
Last modified: 15 Mar 2024 02:45
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Author:
R.C. Thomson
Author:
J.S. James
Author:
D.C. Putman
Author:
K.K. Lee
Author:
S.R. Gunn
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