MétaCan
Menu
Back to cohort
Record W3125088874 · doi:10.3303/cet2081081

Extending the Use of Welded Plate Heat Exchangers to Multi-Stream Applications

2020· article· en· W3125088874 on OpenAlexaboutno aff
Guillermo Martínez-Rodríguez, Jamel E. Rumbo-Arias, Martín Picón‐Núñez

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsHeat exchangerWeldingMaterials scienceEnvironmental scienceMechanical engineeringMetallurgyEngineering

Abstract

fetched live from OpenAlex

Compabloc is a trademark of Alpha Laval and is one of the most efficient types of welded plate compact exchangers (WPHE). Their construction features and thermal performance make this technology suitable for application in a wide range of temperatures and pressures. This work focuses on the compabloc type of welded plate and presents a conceptual extension of the design to the case of multi-stream applications. WPHE units are finding wider application in heat recovery systems due to their construction features that enable them to operate at high temperatures and pressures. Besides, the corrugated surfaces employed by this type of units create high heat transfer performance at the expense of increased pressure drop which makes them transmit the required heat duty within a smaller exchanger size compared with conventional geometries. Their geometrical characteristics make it suitable for applications where more than two streams can meet their thermal duties within the same structure. This paper presents the design considerations for the use of compabloc exchangers that handle multiple streams. The multi-stream capabilities can be potentially used in the reduction of the number of heat exchanger units in heat recovery networks. The paper looks first at a thermohydraulic approach for the design of compabloc exchangers based on the full absorption of the pressure drop, then the methodology is extended to the case of multi-stream applications. The approach is demonstrated on a case study.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.364
GPT teacher head0.494
Teacher spread0.130 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicHeat Transfer and OptimizationFrench-language works237,207