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Record W2963704749 · doi:10.32604/icces.2019.04980

Implementation of Micro Encapsulated Phase Change Material (MEPCM) Into Fluid Based Heat Exchangers

2019· article· en· W2963704749 on OpenAlexaff
Robert Plant, M. Ziad Saghir

Bibliographic record

VenueInternational Conference on Computational & Experimental Engineering and Sciences · 2019
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWorking fluidHeat exchangerProcess engineeringMaterials sciencePhase-change materialMechanical engineeringEnvironmental scienceComputer sciencePhase changeThermodynamicsEngineering

Abstract

fetched live from OpenAlex

Fluids have been used to maintain operational temperatures for machinery for as long as machines have been developed. Over time different mediums have been explored, such as oils and waxes. These different mediums have had varying impacts on the overall system such as improving the heat capacity but at the cost and strain on the system of requiring more pumping power. Some mediums, while they provide an improvement can also damage to the system itself over time with unwanted interactions such corrosion. In this paper we will examine the implementation and suspension into the working fluid of Micro Encapsulated Phase Change Material (MEPCM) into water at different concentrations for use in a fluid-based heat exchanger. The implementation of MEPCM will provide a cost-efficient method to improve the overall efficiency of liquid heat exchangers while not dramatically increasing the cost of operation and of maintenance requirements. Fluid based heat exchangers can only move as much energy as their working fluid can hold, in this paper we examined how the implementation of MEPCM to a common working fluid (water) can increase the specific heat capacity of the working fluid over an experienced range of temperatures, and by increasing the specific heat capacity, improve the overall system performance while not substantially increasing the cost. The comparison will be drawn between the system using water as the working fluid and the same system with the same flow rate and experienced heat flux across the cross section, but with the addition of MEPCM into the working fluid. With the inclusion of MECPM we hope to improve the performance of the system while maintaining a reasonable cost comparison to that of water. A numerical model was evaluated comparing the system performance of that of water and to that of different percentages of MEPCM in suspension in the working fluid. The simulation was conducted with COMSOL Multiphysics which has provided us with our data points and infographics. The COMSOL model was able to show a noted improvement to the overall systems specific heat capacity as expected in our temperature range. The inclusion of MEPCM into the working fluid of heat exchanger has a direct an impact on the specific heat capacity of the system, localized heat flux, and local Nusselt number across the heat exchanger all while not restricting the flow of the working fluid. MEPCM over time presents little risk to the system while it remains in suspension as there will be no negative interaction between the MEPCM and the system while in suspension. The inclusion of MEPCM into a system working fluid was numerically shown to have a direct correlation between the heat capacity and performance of the system when compared to just water as the working fluid.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.589

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 head0.031
GPT teacher head0.315
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2019
Admission routes1
Has abstractyes

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