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Record W7028628038

Experimental Characterization and Numerical Modelling of the Interfacial Heat Transfer Coefficient in Hot Stamping of Al-Si Coated 22MnB5 Steel

2023· dissertation· en· W7028628038 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

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicTechnology, Environment, Urban Planning
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHot stampingBlankHot workHeat transferHeat transfer coefficientQuenching (fluorescence)CoatingDie (integrated circuit)Work (physics)Thermal conduction
DOInot available

Abstract

fetched live from OpenAlex

In automotive hot stamping of Al-Si coated 22MnB5 steel, the heat transfer coefficient (HTC) between the blank and die is crucial for predicting the mechanical properties of the as-formed part. While average HTCs associated to a range of interfacial pressures are used in hot stamping operations design, in reality the HTC varies during quenching and depends on many other process parameters in addition to interfacial pressure. An improved understanding of the transient behavior of the HTC is the overarching focus here. This work involves an experimental investigation to study the effects of pressure, coating weight, and surface roughness on the HTC evolution. Flat dies were mounted on a hydraulic press to obtain the temperature history within the blank and die. The data was analyzed using an inverse heat conduction algorithm to infer the time-resolved HTC. The HTC increases in two stages with the first being attributed to press tonnage ramp-up that gradually increases interfacial pressure. The second stage is attributed to an increase in the thermal conductivity and volume of the blank as its microstructure transforms from austenite to martensite. The experimental work also highlights how seemingly subtle aspects of this experiment, like the positioning and time-constant of the thermocouples, may impact the inferred HTC. Furthermore, nonuniformity of the interfacial pressure appears to lower the target pressure at which the HTC saturates, and diminish the time-averaged HTC with increasing target pressures. This work also presents a physics-based model that explains and predicts the HTC evolution. The model simulates imperfect contact using the measured blank surface topography, an explicit finite difference scheme to solve the transient heat conduction, and a nonlinear mechanical submodel to solve the microscale displacement of the die due to uniaxial compression of surface asperities. The predicted HTC history is in fair agreement with the experimental result. The model suggests that the evolving thermal conductivity of 22MnB5 does not affect the HTC due to the shielding behavior of the resolidified Al-Fe-Si coating layer at the interface. The model also explains how all hot stamping process parameters influence the HTC and lays the groundwork for a unified model that captures the physics of the entire hot stamping process.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.024
GPT teacher head0.197
Teacher spread0.173 · 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