http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
modelling of microstructure, properties and applications
Maraging steels are high-strength steels combined with good toughness. They are used particularly in aerospace and tooling applications. Maraging refers to the ageing of martensite, a hard microstructure commonly found in steels. Maraging steels: modelling of microstructure, properties and applications covers the following topics: Introduction to maraging steels; Microstructure of maraging steels; Mechanical properties of maraging steels; Thermodynamic calculations for quantifying the phase fraction and element partition in maraging systems and precipitation hardening steels; Quantification of phase transformation kinetics in maraging steels; Quantification of age hardening in maraging steels; Maraging steels and overageing; Precipitation hardening stainless steel; Applications of artificial neural network on modelling maraging steel properties. With its distinguished authors, Maraging steels: modelling of microstructure, properties and applications is a standard reference for industry and researchers concerned with maraging steels and modelling as well as users of maraging steels in the aerospace and tooling sectors. The book includes both conventional maraging steels and precipitation hardened (PH) stainless steels. Provides an overview of maraging steels including microstructure and mechanical propertiesReviews thermodynamic calculations for quantifying the phase fraction and element partition in maraging steelsIncludes chapters on the quantification of phase transformation kinetics and age hardening in maraging steels.
Cover; Maraging steels: Modelling of microstructure, properties and applications; Copyright; Contents; Author contact details; Preface; Acknowledgements; 1 Introduction to maraging steels; 1.1 What are maraging steels?; 1.2 Microstructure and mechanical properties; 1.3 Thermodynamic calculation; 1.4 Phase transformation kinetics and age hardening; 1.5 Overageing; 1.6 Precipitation hardening stainless steels; 1.7 Modelling correlations using an artificial neural network; 1.8 References; 2 Microstructure of maraging steels; 2.1 2000 MPa grade cobalt-free maraging steel.
2.2 2400 MPa grade cobalt-free maraging steel2.3 18Ni (350) cobalt-containing grade; 2.4 2800 MPa cobalt-containing grade; 2.5 References; 3 Mechanical properties of maraging steels; 3.1 2000 MPa grade cobalt-free maraging steel; 3.2 2400 MPa grade cobalt-free maraging steel; 3.3 Grain-refined copper maraging steels; 3.4 References; 4 Thermodynamic calculations for quantifying the phase fraction and element partition in maraging systems and precipitation hardening steels; 4.1 Methodology of thermodynamic calculations and choice of alloy systems; 4.2 2400 MPa grade cobalt-free maraging steel.
4.3 Fe-Ni-Al-Mo4.4 Fe-Ni-Mo and Fe-Ni-Co-Mo; 4.5 Fe-Ni-Mn; 4.6 References; 5 Quantification of phase transformation kinetics in maraging steels; 5.1 Evolution of precipitates; 5.2 Overall process; 5.3 Precipitation in Fe-12Ni-6Mn maraging-type alloy; 5.4 18 wt% Ni C250; 5.5 Phase fraction by X-ray diffraction analysis; 5.6 References; 6 Quantification of age hardening in maraging steels; 6.1 Precipitation hardening theories; 6.2 Kinetics; 6.3 Fe-12Ni-6Mn; 6.4 C250; 6.5 C300; 6.6 References; 7 Maraging steels and overageing; 7.1 Mechanism of particle coarsening.
7.2 Influence of volume fraction on coarsening7.3 What is the controlling mechanism?; 7.4 Quantification of precipitation kinetics and age hardening for Fe-12Ni-6Mn; 7.5 Reconsidering the precipitate fraction effect; 7.6 References; 8 Precipitation hardening stainless steels; 8.1 Microstructural evolution in PH13-8 after ageing; 8.2 Small-angle neutron scattering analysis of precipitation behaviour; 8.3 Improving toughness of PH13-8 through intercritical annealing; 8.4 Thermodynamic calculations; 8.5 Quantification of early stage age hardening and overageing; 8.6 References.
9 Applications of artificial neural network to modelling steel properties9.1 Model development; 9.2 Model performance; 9.3 Comparison of model predictions with experimental data; 9.4 Applications of the models; 9.5 Summary; 9.6 References; Index.
Includes bibliographical references and index.
Great Abington, Cambs. : Woodhead Pub., 2009