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JOURNAL OF PROTECTIVE COATINGS & LININGS (JPCL) . Vol. 32, N° 12SSPC 2016 - The advance programMention de date : 12/2015 Paru le : 18/01/2016 |
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Ajouter le résultat dans votre panierThe negative influence of Fe2P pigments on the anti-corrosion properties of zinc dust primers / Pascal Verbiest in JOURNAL OF PROTECTIVE COATINGS & LININGS (JPCL), Vol. 32, N° 12 (12/2015)
[article]
Titre : The negative influence of Fe2P pigments on the anti-corrosion properties of zinc dust primers Type de document : texte imprimé Auteurs : Pascal Verbiest, Auteur Année de publication : 2016 Article en page(s) : p. 38-44 Note générale : Bibliogr. Langues : Américain (ame) Catégories : Anticorrosion
Epoxydes
Formulation (Génie chimique)
Phosphure de fer
Pigments inorganiques
Primaire (revêtement)
Revêtements poudre:Peinture poudre
ZincIndex. décimale : 667.9 Revêtements et enduits Résumé : Zinc-rich primers have been formulated where part of the zinc metal dust was replaced by a conductive FPA. The results of a test program conducted showed that the mechanical and chemical properties of the zinc-dust paints tested were unaffected by addition of this pigment. However, significant reduction in anti-corrosion performance and cathodic protection was observed when zinc dust is replaced by an FPA.
It is the author's belief that attempts to replace portions of zinc dust with an FPA treatens the long-term anti-corrosion performance of zinc primer.Note de contenu : - TABLES : 1. Characteristics of zinc anti-corrosive primers based on combination of zinc dust and FPA - 2. Formulation of 2-component epoxy primer using a combination of zinc dust and FPA - 3. Film hardness of zinc dust primers with FPA by persoz pendulum - 4. Physical-mechanical properties of zinc dust anti-corrosive primers with FPA Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=25415
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Code-barres Cote Support Localisation Section Disponibilité 17732 - Périodique Bibliothèque principale Documentaires Disponible The importance of pattern recognition in failure analysis / Dwight G. Weldon in JOURNAL OF PROTECTIVE COATINGS & LININGS (JPCL), Vol. 32, N° 12 (12/2015)
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Titre : The importance of pattern recognition in failure analysis Type de document : texte imprimé Auteurs : Dwight G. Weldon, Auteur Année de publication : 2016 Article en page(s) : p. 46-55 Langues : Américain (ame) Catégories : Analyse des défaillances (fiabilité)
Revêtements -- Détérioration:Peinture -- DétériorationIndex. décimale : 667.9 Revêtements et enduits Résumé : There are many reasons why a paint or coating can fail prematurely, even something quite simple such as painting over dirt, or something quite complicated such as poor chemical resistance or paint not being applied at the proper mix ratio. Many laboratory techniques can aid in determining the cause of a coating failure, such as optical microscopy, infrared spectroscopy, scanning electron microscopy energy dispersive X-ray spectroscopy {SEM-EDS), gas chromatography-mass spectroscopy (GCMS) and differential scanning calorimetry (DSC). Regardless of which laboratory techniques might be used, it is important to determine whether or not there is a pattern to the failure. Recognition of a pattern can aid in finding the cause of a failure and also sometimes lower the cost of the analysis by helping the investigator choose the most appropriate laboratory tests.
Pattern recognition is in itself a science. indeed, there are scientific journals and technical societies devoted exclusively to this concept. Encyclopedia Britannica defines pattern recognition in computer science as "the imposition of identify on input data, such as speech, images, or a stream of text, by the recognition of and delineation of patterns it contains and their relationships."
Google uses pattern recognition algorithms to identify the faces of human beings in digital images captured by their street view cameras so that the faces of these people can be blurred to protect their privacy. But in the context of this article, pattern recognition means identifying and correlating events with locations, and subsequently correlating chemical or physical properties with those locations. This depends more on curiosity and making good observations (or asking the right questions if the investigator has not been onsite) than on algorithms.
Not all coating failures have patterns {and this in itself is an important observation). For instance, if a painted structure is essentially failing everywhere, this suggests that either the paint itself is defective, or that the wrong generic type of paint was specified. However, in those cases where there is a clear pattern to the failure, being aware of this pattern can often assist in determining its cause. In this article, several coating failures will be discussed where pattern recognition played an important role in their solution.Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=25419
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