Properties and characterization of modern materials

This book focuses on robust characterization and prediction methods for materials in technical applications as well as the materials’ safety features during operation. In particular, it presents methods for reliably predicting material properties, an aspect that is becoming increasingly important as...

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Bibliographische Detailangaben
Körperschaft: International Conference on Advanced Computational Engineering and Experimenting (VerfasserIn)
Weitere Verfasser: Öchsner, Andreas (HerausgeberIn), Altenbach, Holm (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Singapore Springer Science+Business Media 2017
Schriftenreihe:Advanced structured materials Volume 33
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Beschreibung
Zusammenfassung:This book focuses on robust characterization and prediction methods for materials in technical applications as well as the materials’ safety features during operation. In particular, it presents methods for reliably predicting material properties, an aspect that is becoming increasingly important as engineering materials are pushed closer and closer to their limits to boost the performance of machines and structures. To increase their engineering value, components are now designed under the consideration of their multiphysical properties and functions, which requires much more intensive investigation and characterization of these materials. The materials covered in this monograph range from metal-based groups such as lightweight alloys, to advanced high-strength steels and modern titanium alloys. Furthermore, a wide range of polymers and composite materials (e.g. with micro- and nanoparticles or fibres) is covered. The book explores methods for property prediction from classical mechanical characterization-related fields of application, for example, from wear, creep, fatigue and crack growth, to specific surface properties, to dielectric and electrochemical values. As in all fields of modern engineering, the process is often accompanied by numerical simulation and optimization
Beschreibung:Literaturangaben
Beschreibung:x, 452 Seiten
Illustrationen, Diagramme
24 cm
ISBN:9789811016011
978-981-10-1601-1