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Enregistrement W2181458610

Title: Rapid, Automated Measurement of Layer Thicknesses on Steel Coin Blanks Using LIBS Depth-Profiling

2006· article· en· W2181458610 sur OpenAlexaboutno aff
George Asimellis, Α. Γιαννουδάκος, Michael Kompitsas

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueLaser-induced spectroscopy and plasma
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLaser-induced breakdown spectroscopyMaterials scienceLaser ablationLaserElectroplatingLayer (electronics)MetallurgyOpticsComposite material
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

We report application of a near-real time method to determine layer thickness on electroplated coin blanks. The method was developed on a simple Laser-Induced-Breakdown Spectroscopy (LIBS) arrangement by monitoring relative emission line intensities from key probe elements via successive laser ablation shots. This is a unique LIBS application where no other current spectroscopic method (ICP or XRF) can be applied effectively. Method development is discussed, and results with pre-calibrated coins are presented. Copyright George Asimellis, Aggelos Giannoudakos, and Michael Kompitsas OCIS codes: 120.0120, 120.6200 , 140.3440, 300.6360, 350.3390 OSA Published by Introduction The Royal Canadian Mint (RCM) plating facility in Winnipeg, Canada, has identified a problem with performing Quality Control of their electroplated coin blanks. Typically, coins, of a ferritic steel core, are electro-plated with three (3) layers, two (2) layers of approximately 4-8 μm-thick nickel, separated with a middle layer of 7-10 μm thick copper. A rapid and automated technique was sought to perform near real-time quality assurance on production coin blanks to replace current methods of coin sectioning and subsequent optical metallographic measurements, because these mechanical methods are slow and labor intensive. Laser-Induced Breakdown Spectroscopy (LIBS) enables multi-elemental identification and quantitative analysis requiring little or no sample preparation. A schematic of LIBS arrangement is shown in Figure 1. A high-power laser pulse is focused just above or below the sample surface, creating a localized area of material removal (less than 1 mm -wide and sub-μm deep per shot). Particles from the ablated material are subsequently ionized and thus a hot plasma is created. Upon plasma cooling ions recombine, and consequent excited atoms relax, radiating atomic emission lines, characteristic of the ablated sample constituent elements. By spectrally examining the optical emission it is possible to identify the ablated area’s atomic composition. This is achieved by a highresolution spectrograph, on which the optical plasma radiation is directed, by means of fused-silica optics and steering mirrors. The spectrum is recorded on a gated, intensified CCD detector. Thus, specific quantitative element analysis can be accomplished in near real time . This work is focusing on the applicability of LIBS for rapid identification of plated layer thickness. The elemental composition of the ablated layer can be analyzed for every successive shot as the laser penetrates deeper into the material at a repeatable rate. Thus the number of shots required to penetrate a specific layer can be determined by monitoring the appearance of new probe elemental OSA Published by lines or the sharp decline/increase in the line intensities (photon count) of existing elemental lines. Thus LIBS can provide detailed knowledge of the layered depth profile on a very localized sample area, less than 1 mm-wide . It is this characteristic depth-profiling capability of LIBS that provided motivation for this work. An analytical technique for trace element analysis that has been applied to coin analysis is Energy-Dispersive X-Ray Fluorescence (EDXRF). Compared to this technique, LIBS is advantageous in the aspect of being able to detect all elements, independent of their atomic number, and, more important, can provide a detailed information of elemental constitution of each (sub-μm) ablation layer. In addition, because the area of the ablation crater is in the vicinity of 1 mm, detailed depthprofiling analysis is possible. For this development a simple laboratory LIBS setup was used (figure 1) using a fundamental Nd:YAG laser (YG 981, Quantel, France) with pulse energy 30 mJ and pulse duration of 7 ns, conventional laser optics delivery to the target and plasma optical emission collection, a CzernyTurner (HRP, Jobin-Yvon, Edison, NJ, USA) spectrometer fitted with 2,400 lines/mm holographic grating. A gated intensified CCD camera (GEN II, Andor Technologies, Belfast, UK) with 15% quantum efficiency (average) was used for optical signal detection. Coin samples were placed on a servo-controlled positioning stage. The programmable stage can position the sample on the desired location relative to the incident laser beam with μm precision, allowing the desired number of shots at each spot and then moves to the next spot or next coin.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,411
Score d'incertitude au seuil0,617

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,250
Écart entre enseignants0,211 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2006
Routes d'admission1
Résumé présentoui

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