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Record W2474960709

On the design of a water temperature control module forbulk solids heat exchangers

2016· article· en· W2474960709 on OpenAlexaboutno aff
S.O. van der Heide

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsSchematicHeat exchangerMechanical engineeringProcess engineeringThermalThermal energyDrumEngineeringEngineering drawingComputer scienceThermodynamicsPhysicsElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

Solex Thermal Science, with its headquarters in Calgary, AB, Canada, designs and develops a plate type bulk solids heat exchanger, which is claimed to be much more compact and energy efficient than a fluidized bed or rotating drum heat exchanger of the same capacity. Through the vertically placed, hollow plates with a dimple pattern a thermal fluid, like for example water or thermal oil is pumped. Between the hollow plates just enough space is left for the solids to flow downward without problems. Currently only this bulk solids heat exchanger is designed at Solex; all the external systems to provide the unit with the thermal energy are not in Solex’ scope. Solex does provide the customers with a schematic diagram of how the connections should be made and how the control loops should look like, but there is a demand from customers to actually provide this whole secondary system as a module. In this report a design of this water temperature control module is presented. It is an evolution on modules that were in the production stage and on a document containing the general specification. To accurately quote for the water modules a system has been set up to provide the tools to easily and precisely give estimates on prices. Other than that a short overview is given on the other activities performed at Solex. To draw process and instrumentation diagrams faster, and to ensure a uniform style is used throughout the company, a system containing build blocks has been made. Using these elements making a new drawing is done without a hassle, since the start is already made. In the lab new products and setups were tested, easy to use calculation tools were made, and input is given on a biomass dryer project.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.399

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 head0.010
GPT teacher head0.183
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

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 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
Published2016
Admission routes1
Has abstractyes

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