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Record W3127052499

Vergleich zwischen Niederdruck- und Schwerkraft-Sandguss für einen dünnwandigen Aluminiumrotor aus der Legierung A356

2020· article· de· W3127052499 on OpenAlexaboutno aff
Franco Chiesa, Fabien Lanicot, Gheorghe Marin, Jocelyn Baril

Bibliographic record

Venuenot available
Typearticle
Languagede
FieldEngineering
TopicAdditive Manufacturing and 3D Printing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMechanical engineeringRotor (electric)PhysicsHumanitiesMaterials scienceMetallurgyEngineeringArt
DOInot available

Abstract

fetched live from OpenAlex

Ein Verdichter-Rotor aus Aluminium A356 wurde mit zwei unterschiedlichen Formfullverfahren im Sandguss hergestellt: Niederdruckguss und Schwerkraftguss. Das Gussteil hat eine begrenzte Grose (170 mm Durchmesser, 1,2 kg) und eine sehr komplizierte Form, sodass es sich besonders gut fur den 3D-Formendruck eignet. Die Herstellung dieses Teils unter Verwendung des herkommlichen Modell-Kernkasten-Prozesses umfasste die Montage von 12 Kernen innerhalb der Form; hierbei waren sehr enge Mastoleranzen erforderlich, da die Rotorblatter nur 2 mm dick sind. Folglich wurden die Niederdruck-Gussformen auf dem ExOne M-Flex-Drucker im Centre de Metallurgie du Quebec (CMQ) hergestellt, wahrend die Schwerkraft-Gussformen auf dem Voxeljet VX1000-Drucker bei Lycee Hector Guimard produziert wurden. Eine Anzahl von Rotoren wurde gemas jedem Verfahren fur unterschiedliche Giestemperaturen und Fullzeiten (nur fur Niederdruck) gegossen, um die Formfullungsfahigkeit des Niederdruckprozesses mit dem Schwerkraftverfahren zu vergleichen. Ein Kriterium zur Vorhersage von Auslauffehlern ergab sich aus der numerischen Stromungssimulation (Computational Fluid Dynamics - CFD) -Modellierung der Formhohlraumfullung; dieses Kriterium gilt sowohl fur Niederdruck- als auch fur Schwerkraftguss. // Comparing Low-Pressure and Gravity Sand Casting of a Thin-Bladed Aluminum A356 Rotor // An aluminum A356 compressor rotor was sand cast with two different cavity-filling methods: low-pressure and gravity. The casting is limited in size (170 mm diameter, 1.2 kg) and very intricate in shape thus lending itself particularly well to 3D mold printing. Producing this part using the traditional pattern-core box route involved mounting 12 cores inside the mold while very stringent dimensional tolerances were required, as the rotor blades are only 2 mm thick. Consequently, the low-pressure molds were produced on the ExOne M-Flex printer at the Centre de Metallurgie du Quebec (CMQ) while the gravity poured molds were produced on the Voxeljet VX1000 printer at Lycee Hector Guimard. A number of rotors were cast according to each technique for different pouring temperature and filling times (for low pressure only) so as to compare the filling capability of the low-pressure process versus gravity. A criterion to predict misruns was obtained from computational fluid dynamics (CFD) modeling of the mold cavity filling, criterion which applies both in low pressure and gravity.

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)0.001
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.264
Teacher spread0.240 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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