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Record W2897046529 · doi:10.2351/1.5066211

Welding thermoplastic elastomers to polypropylene with a diode laser

2002· article· en· W2897046529 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsUniversity of WindsorSiemens (Canada)
Fundersnot available
KeywordsMaterials scienceComposite materialWeldingPolypropyleneLaser beam weldingThermoplastic elastomerLaserUltimate tensile strengthThermoplasticElastomerPolymerOptics

Abstract

fetched live from OpenAlex

The process of welding thermoplastic elastomers to polypropylene using scanning transmission laser welding was studied. Thermoplastic rubber plaques of various durometers were welded to 30% glass-filled polypropylene using a 150 W diode laser. In transmission laser welding, one of the materials is transmissive to the laser and one absorbs the laser. In this study the elastomers were used as the transmissive material in some trials and as the absorbing material in others. Hence the polypropylene plaque was the absorbing material in the former trials and as the transmissive material in the latter. The effect of the laser welding parameters on weld quality, width and strength was studied. The laser welding parameters investigated were power, scanning speed, beam spot size, and clamp pressure. Weld strength was determined by tensile testing of the resulting shear lap samples. Implications of the effects of parameter changes on weld quality and on failure mode are discussed.

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 score0.218
Threshold uncertainty score0.811

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 head0.166
Teacher spread0.159 · 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

Quick stats

Citations26
Published2002
Admission routes1
Has abstractyes

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