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Influence of Thermo- and HIP Treatments on the Microstructure and Mechanical Properties of IN625 Alloy Parts Produced by Selective Laser Melting: A Comparative Study

2016· article· en· W2551215727 on OpenAlexaff
Alena Kreitcberg, Vladimir Braïlovski, S. Turenne, Cyrille Chanal, V. Urlea

Bibliographic record

VenueMaterials science forum · 2016
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsPolytechnique MontréalÉcole de Technologie Supérieure
Fundersnot available
KeywordsHot isostatic pressingMaterials scienceAlloyMicrostructureUltimate tensile strengthMetallurgySelective laser meltingDuctility (Earth science)Annealing (glass)Homogeneity (statistics)Composite materialCreep

Abstract

fetched live from OpenAlex

This study provides a summary of the effect of heat and hot isostatic pressing treatments on the microstructure and mechanical properties of IN625 alloy processed by selective laser melting. IN625 metallographic and tensile testing specimens were additively manufactured in four different orientations and then subjected to stress relief, low solution annealing and hot isostatic pressing treatments. The as-built alloy exhibited the highest tensile strength, the lowest ductility and the highest anisotropy of mechanical properties among all the tested specimens. Heat and hot isostatic pressing treatments provided an improvement in ductility and homogeneity, but at the expense of lower strength characteristics. The results of this study provide some indications for improving the mechanical properties of additively manufactured IN625 alloy components.

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 score0.007
Threshold uncertainty score0.279

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 head0.017
GPT teacher head0.227
Teacher spread0.210 · 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".

Quick stats

Citations8
Published2016
Admission routes1
Has abstractyes

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