Image de Google Jackets
Vue normale Vue MARC vue ISBD

Service Life Prediction of Polymers and Coatings Enhanced Methods ['White, Christopher', 'Nichols, Mark', 'Pickett, James']

Par : Contributeur(s) : Type de matériel : TexteTexteÉditeur : William Andrew 2020Description : pType de contenu :
Type de média :
Type de support :
ISBN :
  • 9780128183670
Sujet(s) :
Ressources en ligne : Abrégé : Service Life Prediction of Polymers and Coatings: Enhanced Methods focuses on the cutting-edge science behind how plastic and polymer materials are modified by the effects of weathering, offering the latest advances in service life prediction methods. The chapters have been developed by experts based on their contributions as part of the 7th Service Life Prediction Meeting. The volume begins with the premise that it is possible to produce and design life predictions, also looking at how these predictions can be used. Subsequent chapters present new developments in service life prediction, examining the most important considerations in SLP design, timescales, and other major issues. The book also considers the current state of the field in terms of both accomplishments and areas that require significant research going forward. This is a highly valuable reference for engineers, designers, technicians, scientists and R&D professionals who are looking to develop materials, components or products for outdoor applications across a range of industries. The book also supports academic researchers, scientists and advanced students with an interest in service life, the effects of weathering, material degradation, failure analysis, or sustainability across the fields of plastics engineering, polymer science and materials science. - Presents novel prediction techniques for plastics and polymers exposed to outdoor weathering - Provides a consensus roadmap on the scientific barriers related to a validated, predictive model for the response of polymer and plastics to outdoor exposure - Enables the reader to assess and compare different methods and approaches to service life prediction
Tags de cette bibliothèque : Pas de tags pour ce titre. Connectez-vous pour ajouter des tags.
Evaluations
    Classement moyen : 0.0 (0 votes)
Nous n'avons pas d'exemplaire de ce document

Service Life Prediction of Polymers and Coatings: Enhanced Methods focuses on the cutting-edge science behind how plastic and polymer materials are modified by the effects of weathering, offering the latest advances in service life prediction methods. The chapters have been developed by experts based on their contributions as part of the 7th Service Life Prediction Meeting. The volume begins with the premise that it is possible to produce and design life predictions, also looking at how these predictions can be used. Subsequent chapters present new developments in service life prediction, examining the most important considerations in SLP design, timescales, and other major issues. The book also considers the current state of the field in terms of both accomplishments and areas that require significant research going forward. This is a highly valuable reference for engineers, designers, technicians, scientists and R&D professionals who are looking to develop materials, components or products for outdoor applications across a range of industries. The book also supports academic researchers, scientists and advanced students with an interest in service life, the effects of weathering, material degradation, failure analysis, or sustainability across the fields of plastics engineering, polymer science and materials science. - Presents novel prediction techniques for plastics and polymers exposed to outdoor weathering - Provides a consensus roadmap on the scientific barriers related to a validated, predictive model for the response of polymer and plastics to outdoor exposure - Enables the reader to assess and compare different methods and approaches to service life prediction

PLUDOC

PLUDOC est la plateforme unique et centralisée de gestion des bibliothèques physiques et numériques de Guinée administré par le CEDUST. Elle est la plus grande base de données de ressources documentaires pour les Étudiants, Enseignants chercheurs et Chercheurs de Guinée.

Adresse

627 919 101/664 919 101

25 boulevard du commerce
Kaloum, Conakry, Guinée

Réseaux sociaux

Powered by Netsen Group @ 2025