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Record W6981032989

Development of Foot Design for Gasketed Plate Heat Exchangers

2022· other· en· W6981032989 on OpenAlexaboutno aff

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2022
Typeother
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPipingServiceability (structure)Heat exchangerFinite element methodProcess (computing)Engineering design process
DOInot available

Abstract

fetched live from OpenAlex

In the process of making the industry more energy efficient, the gasketed plate heat exchanger has an important role as it effectively transfers heat between fluids. This master thesis aims to investigate and develop a new supportive foot for Alfa Laval’s gasketed plate heat exchangers. The goal was to present a design that can sustain severe external loads induced by for example the connecting piping system or earthquakes. Beyond sustaining the severe loads, the foot was also required to maintain a high serviceability and a low cost. The project covered in this report follows a development process where eleven different concepts were generated and scored. The most important factors in the developed concepts were cost, manufacturing, and serviceability. Two concepts emerged from the scoring and was further developed to test their feasibility. From the in-depth development one concept remained and was considered the best design. The design was then modelled in a FEM program together with an existing design to verify the stresses in the used bolts in the foot. In the verification of the design, it was concluded that the new design reduced the usage in the attached bolts in the foot by up to 67%, compared to existing designs. It was also found that preloading the bolts made the model less tolerant to the severe loads. Furthermore, adding a higher frictional coefficient to the model decreased the usage in the studied bolts.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.239
Teacher spread0.214 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueLund University Publications Student Papers (Lund University)Same topicPotassium and Related DisordersFrench-language works237,207