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Record W1987133625 · doi:10.1243/095440503322617243

A simple technique to characterize the role of work hardness in hard part machining

2003· article· en· W1987133625 on OpenAlexafffund
Philip Koshy, Roman Dumitrescu

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 2003
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsMcMaster University
FundersGovernment of Canada
KeywordsHardenabilityMachiningMaterials scienceQuenching (fluorescence)MetallurgyIndentation hardnessWork (physics)HardnessMechanical engineeringComposite materialMicrostructureEngineeringAlloy

Abstract

fetched live from OpenAlex

An experimental technique that employs a Jominy end quench test specimen for rapid characterization of the machining response of a steel with reference to its bulk hardness is presented. Employed widely by metallurgists to appraise the hardenability of a steel, the Jominy test entails the quenching of a standard cylindrical specimen from one end, on having heated it to the austenitizing temperature. The cooling rate at any transverse section of the specimen is therefore dependent on the distance of the section from the quenched end, which brings about a continuous variation of material hardness along its length. The use of such a specimen as the workpiece to investigate the machining response of the steel with respect to its hardness significantly reduces the time, effort and cost involved in reliably optimizing a hard part machining application. Cutting force and surface finish data are presented to demonstrate this simple, innovative concept.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.183
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.184
Teacher spread0.176 · 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

Citations1
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part B Journal of Engineering ManufactureSame topicMicrostructure and Mechanical Properties of SteelsFrench-language works237,207