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Record W7002000716

Microstructural Characteristics of Laser-Clad AISI P20 Tool Steel

2003· article· en· W7002000716 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2003
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsnot available
Fundersnot available
KeywordsResidual stressTool steelMartensiteSubstrate (aquarium)Layer (electronics)Cladding (metalworking)Martensitic stainless steel
DOInot available

Abstract

fetched live from OpenAlex

Laser cladding of P20 powder on AISI P20 tool steel substrate has been investigated for potential mold or die repair applications. The process was conducted using a 3 kW CO2 laser in continuous wave (CW) mode to melt the moving substrate while P20 powder was simultaneously fed into the molten pool. The process can accurately deposit material at desired locations with a relatively low heat input. A dense and crack-free clad layer was obtained with an excellent metallurgical bonding with the substrate. This study demonstrates that P20 powder can be deposited on P20 tool steel substrate without any pre-heating. The P20 clad layer has a higher hardness as compared to the P20 substrate. The microstructural morphology of as -clad P20 shows predominant martensite phase along with refined dendrites due to process-induced fast cooling. Moreover, the residual stress measurements indicate the presence of compressive residual stresses on the surface of the P20 clad.

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 categoriesInsufficient payload (model declined to judge)
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 score0.029
Threshold uncertainty score0.999

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)0.0010.000

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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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.

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

Citations6
Published2003
Admission routes1
Has abstractyes

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