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Record W2186224592

Heat Transfer and Phase Transformation on Matrix Assisted Pulsed Laser Evaporation of Biocompatible Thin Layers

2013· article· en· W2186224592 on OpenAlexaboutno aff
Elena Lăcătuș, Anca Tudor

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsMultiphysicsMaterials scienceLaserMechanical engineeringHeat transferEvaporationFinite element methodMechanicsOpticsThermodynamicsEngineeringPhysics
DOInot available

Abstract

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Introduction The Matrix Assisted Pulsed Laser Evaporation (MAPLE) process is used for high quality biocompatible polymers thin films deposition, such as PVP (polyvinylpyrrolidone) and DMSO (dimethyl sulfoxide). To maintain the high quality of the sample during the entire process, the laser targets temperature should be kept below 70 K, while controlled evaporation occurs under the action of high energy laser pulses. On a first approach, COMSOL Multiphysics® is used to describe and analyze the current cooling technology (fig 1a, b), in order to identify the present bottlenecks of the process. Use of COMSOL Multiphysics® Based on the analysis results and process characteristics a new path of energy dissipation is designed and modelled. The SolidWorks® model is exported through the LiveLinkTM for SolidWorks® add-on in COMSOL Multiphysics® where heat transfer and phase transformation analyses are performed (fig. 2). Each phase of the process was properly described and designed with the use of 3D/2D plot groups and line graph tools in COMSOL Multiphysics®. The step by step analysis was done using a time dependent study with a time span of 90 minutes on an increment of 2 minutes. In order to simulate accurate conditions, the COMSOL Multiphysics® material data base was used and customized with new materials. Results Biocompatible materials need to be cooled to lower temperatures in order to survive unharmed during laser evaporation, actually a laser sublimation process. The designed cryocooler (fig. 3, 4) with the support of analytic and modeling facilities of COMSOL Multiphysics®, answers very well to the Pulsed Tube Refrigeration (PTR) technology requirements, allowing better cooling and temperature stability throughout the MAPLE process than current liquid Nitrogen solution. Conclusion By the use of COMSOL Multiphysics®, a proper analysis of the sublimation phenomenon of biocompatible substances was performed, making possible designing adequate re-engineering solutions of deposition equipment. This has an effect on the availability of new ways to integrate biocompatible films in all sorts of medical, technological and dual applications. Reference 1. Chrisey D.B., Hubler G.K., Pulsed Laser Deposition of Thin Films (1994) 2. Sadoqi M., Kumar S., Yamada Y., J. Thermophys. Heat Transf. 16, 193 (2002) 3. Pique A., McGill R.A., Chrisey D.B., Leonhardt D., Mslna T.E., Spargo B.J., Callahan J.H., Vachet R.W., Chung R., Bucaro M.A., Thin Solid Films 355/356, 536 (1999) 4. Pate R., Lantz K.R., Stiff-Roberts A.D., Thin Solid Films 517,6798 (2009) 5. Wu P.K., Ringeisen B.R. et al Thin Solid Films 398–399, 607 (2001) Figures used in the abstract

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.

How this classification was reachedexpand

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 categoriesInsufficient 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 score0.006
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.301
Teacher spread0.279 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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