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Tailoring intermetallic compound formation within laser weld brazed joints using a novel heat input approach

2024· article· en· W4403118031 on OpenAlex
Schahram Akbarian, Adib Salandari-Rabori, Sheida Sarafan, Priti Wanjara, Javad Gholipour, Abdelbaset R.H. Midawi, E. Biro

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Materials Processing Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsNational Research Council CanadaUniversity of Waterloo
FundersNational Research Council Canada
KeywordsIntermetallicBrazingMaterials scienceWeldingMetallurgyLaserComposite materialOpticsAlloy

Abstract

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The challenge of intermetallic compound (IMC) embrittlement, resulting from thick IMC layers at the braze/substrate interface, and the lack of a clear strategy to manipulate IMC formation, has hindered the development of reliable laser weld brazing (LWB) processes. This study addresses these challenges by introducing a novel approach to IMC manipulation during LWB of thin-gauge Zn-coated steel with Si-bronze filler on a double-flanged lap joint. By shifting IMC formation from the interface towards the interior region of the braze, the research mitigates embrittlement by developing a new IMC category, termed surrounded interface-IMCs (SI-IMCs), distinct from traditional interface-IMCs (I-IMCs). The study proposes a Wire-adjusted heat input strategy to optimize brazing conditions, introducing a relative heat input equation ( HI Relative ) that correlates with various brazing defects and IMC formation. The generic scientific contribution of this work lies in identifying a critical HI Relative value of 32 J/mm for defect-free brazing, with an additional threshold of 12.44 J/mm above this level to promote a high density of SI-IMCs, occupying up to 38.2 ± 16.9 % of the braze cross-sectional area. These SI-IMCs, characterized by a shell-like Fe-Si layer and a bulky (Fe-rich)-Cu eutectic phase, enhance the mechanical performance of the brazed joints. Furthermore, this study reveals the novel role of Mn segregation in creating diffusion channels for Fe-Si IMC development, advancing the scientific understanding of IMC formation. Visualization through digital image correlation (DIC) during tensile testing showed that increasing the SI-IMC area fraction from 1.2 ± 2.4 % to 38.2 ± 16.9 % resulted in a 14 % increase in tensile peak load and a 350 % increase in ductility. This highlights the critical role of SI-IMCs in improving the strength and ductility of LWB joints, offering a new pathway for enhancing the performance of brazed structures. • Wire addition must be integrated to heat input to understand braze evolution. • Increases to Wire-adjusted heat input leads to increased IMC area fraction. • High thermal gradient and cooling rate promote surrounded interface-IMCs. • Revealing Mn segregation provides diffusion channels for Fe-Si IMC formation. • A high density of surrounded interface-IMCs can enhance mechanical performance.

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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 score0.036
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.263
Teacher spread0.235 · 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