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Record W4414946527 · doi:10.1016/j.matdes.2025.114873

Support-free fabrication of IN625 low-angle overhang structures using laser powder bed fusion (LPBF)

2025· article· en· W4414946527 on OpenAlexafffund
Amit Kumar, M. Attarian Shandiz, Muralidharan Kumar, Ashutosh Jena, Mathieu Brochu

Bibliographic record

VenueMaterials & Design · 2025
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFabricationFusionLaserInertial confinement fusionFusion power

Abstract

fetched live from OpenAlex

Support-free IN625 overhang bars (60 × 10 × 7 mm 3 ) were successfully fabricated using laser powder bed fusion (LPBF), achieving a minimum overhang angle of 5° at 30 µm layer thickness and 10° at 60 µm layer thickness. Supported bars were also fabricated to conduct a systematic comparison. Residual stress analysis revealed an increase in residual stresses with decreasing overhang angles. The downskin surface topography exhibited pronounced stair-stepping effects and powder adhesion, especially at low angles. Microstructural characterization confirmed columnar grains spread through the bulk region and small equiaxed grains in the downskin region of the low-overhang angle bars. While the primary dendrite arm spacing remained consistent within the bulk, it increased in the downskin region due to reduced heat dissipation. Correspondingly, the micro-hardness remains consistent in the bulk region, it decreases in the downskin region for the overhang angles below 30°. Uniaxial-tensile tests demonstrate consistent strength, while elongation is higher for increased overhang angle.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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