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Imaging of Defects in Additively Manufactured Alloys Using Betatron X-Rays

2022· article· en· W4286648399 on OpenAlexafffundabout
V. Senthilkumaran, N. F. Beier, P. Shabaninezhad, Jillian Stinehart, S. Fourmaux, Taylor Richards, A. Arce-Borkent, Shayan Meschian, Sverre Knudsen, Michael Lipsett, Lei Zhou, Jim Moore, A. Hussein

Bibliographic record

Venue2022 IEEE International Conference on Plasma Science (ICOPS) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversity of Alberta
FundersFusion Energy SciencesNatural Sciences and Engineering Research Council of Canada
KeywordsBetatronOpticsPhysicsFemtosecondLaserSynchrotronImage resolutionMicrometerResolution (logic)Beam (structure)

Abstract

fetched live from OpenAlex

Betatron radiation is a synchrotron-like X-ray emission generated from the oscillations of trapped relativistic electrons during laser wakefield acceleration (LWFA). Betatron sources are broadband keV X-rays with small source sizes and few-femtosecond pulse durations, ideal for high-resolution phase contrast and X-ray imaging of dense materials. Here, we present the characterization (spatial resolution and acquisition time) of the betatron X-rays from different gases to study their ability for high-resolution imaging of micrometer-scale defects in additively manufactured (AM) aluminium-silicon alloys. Characterization of the X-ray source spectrum, spatial resolution, source size and betatron emission length was performed using the Advanced Laser Light Source in Varennes, Canada. Upcoming applications of these sources for high-resolution, high-throughput 3D tomography of porosity evolution of AM alloys under tension will be discussed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.035
GPT teacher head0.301
Teacher spread0.266 · 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 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

Citations0
Published2022
Admission routes3
Has abstractyes

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