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Record W2609771836 · doi:10.1149/ma2017-01/15/933

Microstructural Evolution during Friction Stir Spot Welding of AZ31 and Its Effect on the Corrosion Resistance of the Joint

2017· article· en· W2609771836 on OpenAlexaff
Yuri Savguira, T. H. North, Steven J. Thorpe

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceCorrosionMetallurgyFriction stir weldingElectron backscatter diffractionWeldingCathodic protectionResidual stressSpot weldingMicrostructureBase metalGrain sizeComposite materialElectrochemistry

Abstract

fetched live from OpenAlex

In recent years, the corrosion resistance of friction stir spot welds made in magnesium alloys has been the focus of many research projects. Previous reports documented the cathodic behavior of the stir zone (SZ) with respect to the base material, causing increased localized corrosion in the region adjacent to the weld, which is known as the thermo-mechanically affected zone (TMAZ). 1,2 While the electrochemical interaction between the SZ and the base metal have been thoroughly studied, the cause for the ennoblement of the weld nugget remains largely unknown. Various studies suggested that the microstructural evolution occurring during the welding process was responsible for the increased corrosion resistance of the stir zone, but the specific contribution from each microstructural feature has not been examined. The present study examines the effect of several microstructural features that are altered during the welding process, ultimately determining their individual contribution to the overall effect on the corrosion characteristics of the joint. Specifically, this investigation examines the effect of (i) residual stress, (ii) grain size and orientation, and (iii) second phase precipitation on the corrosion behavior of FSSW in magnesium alloys. The effect of microstructural variation on the corrosion resistance properties of the stir zone has been evaluated through characterization and electrochemical testing. The corrosion potential and current of the stir zone were determined using microcapillary polarization in 0.1M NaClO 4 , a localized electrochemical technique developed in previous work. 2 Changes in grain size and orientation were monitored through electron back scattered diffraction (EBSD). The effect of residual stress was examined through a series of stress relieving heat treatments. Finally, the effect of second phase particles was investigated by electron microscopy (EM) and nuclear magnetic resonance (NMR). The effect of friction stir spot welding on the microstructure and electrochemical properties of AZ31 is summarized in table I. Each microstructural change was found to have a unique effect on the electrochemical properties of the stir zone region. The relatively small changes in grain size and residual stress induced by the welding operation have been shown to have negligible effects on the corrosion behaviour of the weld nugget. 3 Investigation of the grain orientation revealed weaker basal texture in the stir zone than in the base metal. As a result, changes in grain orientation were found to be responsible for the reduction in the corrosion potential and current of the stir zone. Changes in the size and presence of second phase precipitates (Mg-Al and Al-Mn intermetallics) were determined to be the most dominant factor determining the electrochemical properties of the stir zone. Dissolution of these intermetallics eliminated the harmful microgalvanic cells formed between the particles and the surrounding matrix, as well as increased the overall aluminum content in the α-Mg matrix. Ongoing work is focused on producing a model that correlates the welding parameters to the microstructural features present in the SZ region and its subsequent electrochemical properties. References: A. James, T. H. North and S. J. Thorpe, ECS Transactions , 41, 25 (2012). Y. Savguira, T. H. North and S. J. Thorpe, Materials and Corrosion , 65, 11 (2014). Y. Savguira, T. H. North and S. J. Thorpe, Materials and Corrosion , 67, 10 (2016). Figure 1

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)0.001
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 score0.171
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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
Published2017
Admission routes1
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