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Record W4404365555 · doi:10.1016/j.jmrt.2024.11.130

Microstructure and mechanical properties of stainless steel 316L-Inconel 625 bimetallic structure fabricated by laser wire direct energy deposition

2024· article· en· W4404365555 on OpenAlex
Shivank A. Tyagi, Sai Kumar Balla, M. Manjaiah, Clodualdo Aranas

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 Research and Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsMaterials scienceMicrostructureInconel 625Bimetallic stripMetallurgyDeposition (geology)Pulsed laser depositionInconelComposite materialThin filmNanotechnologyAlloy

Abstract

fetched live from OpenAlex

This study explores the laser wire direct energy deposition (LW-DED) process to manufacture bimetallic SS316L and Inconel 625 alloy. The microstructure and mechanical properties of as-printed SS316L, Inconel 625, and the bimetal were analyzed. Notably, the LW-DED bimetal exhibited superior mechanical properties and a robust metallurgical bond compared to wire arc additive manufacturing. The bimetallic interface demonstrated epitaxial grain growth, a columnar coarse grain structure, and a gradual transition with a zone thickness of 55 μm, as revealed by elemental mapping analysis. Electron backscatter diffraction (EBSD) analysis confirmed low angle grain boundaries leaning towards Inconel 625 deposition, ensuring uniform grain growth from SS316L to Inconel 625 with a consistent crystallographic direction. The EBSD analysis indicated a strong fabric texture with a <001> orientation towards the build direction. However, with increasing layer deposition, the morphology of δ-ferrite in SS316L transformed to skeletal, without interface defects and minimal laves phase. Higher layer deposition revealed the presence of laves phase, as observed in the SEM and EDAX analysis. Microhardness and nano-hardness measurements illustrated that the hardness values in the interfacial region fall between those of individual materials, showcasing a gradual transition at the interface. The tensile properties are higher in the Inconel 625, while SS 316L exhibits comparable properties to the bimetallic sample.

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.

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 score0.007
Threshold uncertainty score0.444

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 head0.012
GPT teacher head0.238
Teacher spread0.225 · 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