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Record W4417273148 · doi:10.31399/asm.hb.v25a.a0007148

Residual Stresses Produced by Surface Compressive Mechanical Straining

2025· book-chapter· en· W4417273148 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.

Bibliographic record

VenueASM International eBooks · 2025
Typebook-chapter
Languageen
FieldEngineering
TopicSurface Treatment and Residual Stress
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsPeeningResidual stressShot peeningShock (circulatory)Laser peeningCompressive strengthTribologyCracking

Abstract

fetched live from OpenAlex

Abstract This article discusses surface compressive mechanical straining treatments, induced compressive residual stresses, and the correlation of Almen strip with residual stress and process control. It explores conventional shot peening, ultrasonic shot peening, vibratory peening, shotless-based peening processes, and laser shock peening. The article describes peening and residual stress relaxation role on part performance. It also describes corrosion, fatigue corrosion, and stress-corrosion cracking along with main tribological properties that have an important role in the performance of structural 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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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