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Record W7132950340

Fabrication of In-mold Pressure and Temperature Sensors using Masked Wire-arc Thermal Spray

2022· dissertation· W7132950340 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsFabricationThermocoupleGauge factorStrain gaugeDeposition (geology)Pressure sensorMolding (decorative)CoatingBendingThermal spraying
DOInot available

Abstract

fetched live from OpenAlex

Pressure and temperature fluctuations within injection molding cavities adversely impact the viscosity of injected molten polymers, leading to material defects and poor part quality. This research investigates the feasibility of wire-arc deposition through patterned masks as a cost-effective and direct method for fabricating strain gauge and thermocouple sensors directly onto cavity surfaces for accurate and real-time in situ process monitoring. Preliminary characterization of coating microstructures revealed improved density and surface splat formations in a comparative study against flame sprayed coatings. The thick film Ni-Cr strain gauge responded linearly to uniaxial tensile strains and exhibited a cycled gauge factor of 70 with a R2 value of 0.995. Furthermore, a four-point bending experiment successfully demonstrated a reduction of hysteresis with increased cycling of flexure loads. Finally, wire-arc fabrication of a steel-constantan surface thermocouple, with a 0 °C Seebeck coefficient of 50 µV/°C, was also proposed to compensate for thermal output.

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), Insufficient 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 score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.015
GPT teacher head0.278
Teacher spread0.263 · 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