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Record W4405801892 · doi:10.1016/j.jallcom.2024.178332

Tailoring the microstructure, physical, and mechanical properties of pure copper using various additive manufacturing techniques

2024· article· en· W4405801892 on OpenAlex

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 Alloys and Compounds · 2024
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsUniversity of New Brunswick
FundersMitacsUniversity of New Brunswick
KeywordsMicrostructureCopperMaterials scienceMetallurgyNanotechnology

Abstract

fetched live from OpenAlex

This study focuses on the utilization of additive manufacturing (AM) for enhancing the production of essential copper-based components, due to their exceptional thermal and electrical conductivity attributes. In this context, an original copper-tellurium cast electrode was completely evaluated and compared with AM pure Cu electrodes, which were produced using laser powder bed fusion (LPBF), LPBF followed by hot isostatic pressing (LPBF-HIP), and binder jetting techniques. The investigation demonstrated that pure copper electrodes produced by LPBF-HIP process showed more homogeneous microstructure with the least porosity (0.14 ± 0.05 %). The uniaxial tensile test results demonstrated that the sample produced via the LPBF-HIP process exhibited superior toughness, with a yield strength of 205 MPa and an ultimate tensile strength of 285 MPa. Furthermore, elongation increased significantly, reaching 54 %. Furthermore, the lowest ultimate tensile strength, measured at 223 MPa, was estimated for the binder jet sample (Markforged), while the lowest elongation, at 34 %, was recorded for the LPBF sample. Although the binder jet samples exhibited a smaller average grain size compared to those produced by LPBF and HIP, it has been determined that porosity plays a more significant role in influencing the mechanical and physical properties of this metal. The physical properties, including thermal conductivity and electrical conductivity, of the samples produced via AM showed that the samples produced using HIP exhibited values closest to the reference cast sample, with measurements of 374 W/m·K and 5.72 × 10 7 S/m, respectively. • Various additive manufacturing techniques were employed to produce pure copper components. • The microstructure, physical and mechanical properties of the samples changed with variations in production techniques. • The influence of microstructure on physical and mechanical properties was assessed. • The effect of HIP treatment on removing the porosities and modifying the as-built LPBF samples was studied. • HIPed pure copper sample exhibited a more uniform microstructure, and better properties compared to the other additively manufactured samples.

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 score0.006
Threshold uncertainty score0.343

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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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