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Record W1577566485 · doi:10.14264/138892

Mechanistic Understanding of Stress Corrosion Cracking of Mg Alloys

2008· dissertation· en· W1577566485 on OpenAlexaboutno aff
N. Winzer

Bibliographic record

VenueThe University of Queensland · 2008
Typedissertation
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFractographyMaterials scienceStress corrosion crackingCrackingCorrosionMicrostructureDistilled waterMetallurgyUltimate tensile strengthStress (linguistics)Drop (telecommunication)Fracture (geology)Composite materialChemistry

Abstract

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Transgranular Stress Corrosion Cracking (TGSCC) is the inherent mode of SCC in Mg alloys; however, the mechanism for TGSCC is not properly understood. A mechanistic understanding of the influences of microstructure, environment and mechanical loading is in high demand due to the rapidly growing interest in Mg alloys for stressed automobile components. This thesis is aimed at identifying key issues pertaining to the mechanisms for TGSCC in Mg-Al alloys, such as to establish a basis for the development of a methodology for minimising SCC susceptibility by microstructural modification. The most commonly proposed mechanism for TGSCC of Mg alloys is Delayed Hydride Cracking (DHC) [1, 2, 3, 4]. A numerical model for predicting the maximum stress corrosion crack velocity for DHC in Mg alloys was developed, with input parameters taken from the literature. Crack velocities ~10-7 m/s were calculated. The result is consistent with measured values for SCC of Mg alloys in distilled water but slower than those for other aqueous environments, indicating that DHC is a possible mechanism. The SCC characteristics of the Mg-Al alloys AZ91, AZ31 and AM30 (in the form of cylindrical tensile specimens) in distilled water were evaluated using the Linearly Increasing Stress Test (LIST) and the Constant Extension Rate Test (CERT). Crack initiation was detected using the DC Potential Drop (DCPD) technique. The LIST and CERT techniques were compared with respect to fractography and the measurement of SCC parameters. During the LIST, fast fracture ensues a relatively short time after the threshold stress, σSCC, is reached. During the CERT, crack growth over a much longer time period is facilitated by a reduction in stress. Consequently, the LIST is typically shorter in duration, whereas the CERT produces a larger SCC fracture surface. Comparisons of the SCC characteristics and fractography of AZ91 (consisting of an α-matrix with extensive β-particles), AZ31 (consisting of an α-matrix with similar Al concentration to that in AZ91) and AM30 (consisting of an α-matrix with similar composition to AZ31, but with lower Zn concentration) showed that the mechanism for TGSCC of Mg-Al alloys is dependent on alloying and microstructure. SCC initiation in AZ31 and AM30 occurs by transgranular localised dissolution (tunnelling). The mechanism for SCC initiation in AZ91 is uncertain, but likely to involve fracture of β-particles close to the surface. The mechanisms for SCC propagation in AZ31 and AM30 involve microvoid coalescence and cleavage respectively. A model for SCC propagation in AZ91 has been proposed, involving: (i) H trapping by β-particles ahead of the crack tip; (ii) fracture of β-particles upon reaching some critical H concentration; (iii) release of trapped H due to the reduction in internal hydrostatic stress; and (iv) HE of the surrounding matrix as per the AZ31 α-matrix. AZ91 had a lower σSCC and was less sensitive to changes in strain rate than AZ31 and AM30. This was associated with the proposed role of β-particles as crack nucleation sites and internal H sources. The stress corrosion crack velocities for AM30 (~6x10-10 m/s) were slower than those for AZ91 (~7x10-9 m/s) and AZ31 (~4x10-9 m/s). This was attributed to the influence of Zn and second phase particles (which are more concentrated in AZ31) on H diffusivity in the α-matrix. The fractography for AZ91 specimens tested in distilled water at very slow strain rates and pre-charged in gaseous H2 was indicative of a mechanism involving hydride formation. This mechanism was postulated as: (i) nucleation and growth of MgH2 particles; (ii) sudden fracture through the MgH2 particles at some critical stress; and (iii) [1] E.I. Meletis, R.F. Hochman, Corrosion, 1984, vol. 40, pp. 39-45 [2] D.G. Chakrapani, E.N. Pugh, Metall. Trans. A, 1976, vol. 7, pp. 173-178 [3] A.J. Bursle, E.N. Pugh, in: P.R. Swann, F.P. Ford, A.R.C. Westwood (Eds.), Mechanisms of Environment Sensitive Cracking of Materials, Materials Society, London, 1977, pp. 471-481 [4] G.L. Makar, J. Kruger, K. Sieradzki, Corros. Sci., 1993, vol. 34, pp. 1311-1342 [5] B. Cox, in: Proc. Metallography and Corrosion Symp., IMS Annual Conf., Calgary, NACE, 1986, pp. 153-174 [6] B. Cox, J. Nucl. Mater., 1990, vol. 170, pp. 1-23 [7] K. Nuttall, A.J. Rogowski, J. Nucl. Mater., 1979, vol. 80, pp. 279-290 [8] G.K. Shek, M.T. Jovanovic, H. Seahra, Y. Ma, D. Li, R.L. Eadie, J. Nucl. Mater., 1996, vol. 231, pp. 221-230 [9] L.A. Simpson, Mechanical Behaviour of Materials, 1979, vol. 2, pp. 445-455

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.222
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2008
Admission routes1
Has abstractyes

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