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Record W2075752666 · doi:10.1109/ias.2011.6074340

Model-based virtual sensors and core temperature observers in thermoforming applications

2011· article· en· W2075752666 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
TopicMetal Forming Simulation Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsThermoformingTemperature measurementControllabilityCore (optical fiber)Temperature controlObserver (physics)Computer scienceProcess (computing)Robustness (evolution)Mechanical engineeringControl theory (sociology)Control engineeringEngineeringArtificial intelligenceControl (management)Mathematics

Abstract

fetched live from OpenAlex

In this paper, we present the notion of model-based virtual sensors and virtual core temperature observers in a thermoforming process. The concept of model-based virtual sensors allows for additional surface temperature measurement points in addition to the already existing infrared sensors. This leads to improved controllability of the plastic sheet temperature as well as increased accuracy in temperature zoning, thus eliminating the use of extra infrared sensors, which significantly reduces the cost of the control system. The problem of core sheet temperature measurement is also addressed through the application of a closed-loop Luenberger core temperature observer to estimate the center-plane temperature of the plastic sheet since it is not practical to have any kind of actual core temperature measurement during the heating process. The two concepts of virtual sensors and virtual core temperature observers are then combined to form an overall observer based closed-loop control system. Finally, the functionality, performance, and robustness of the new system is investigated through simulation of an industrial-type thermoforming machine.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.342

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)0.0000.000

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 head0.043
GPT teacher head0.239
Teacher spread0.196 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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