Journal ArticleDOI
Prediction of the yield strength of a secondary-hardening steel
TLDR
Based on detailed 3D local-electrode atom-probe (LEAP) tomographic measurements of the properties of Cu and M 2 C precipitates, the yield strength of a high-toughness secondary-hardening steel, BA160, as a function of aging time is predicted using a newly developed 3D yield strength model.About:
This article is published in Acta Materialia.The article was published on 2013-08-01. It has received 110 citations till now. The article focuses on the topics: Precipitation hardening & Hardening (metallurgy).read more
Citations
More filters
Journal ArticleDOI
Mechanical Behavior and Strengthening Mechanisms in Ultrafine Grain Precipitation-Strengthened Aluminum Alloy
Kaka Ma,Haiming Wen,Haiming Wen,Tao Hu,Troy D. Topping,Dieter Isheim,David N. Seidman,Enrique J. Lavernia,Julie M. Schoenung +8 more
TL;DR: In this article, the relationship between precipitation phenomena, grain size and mechanical behavior in a complex precipitation-strengthened alloy system, Al 7075 alloy, a commonly used aluminum alloy, was selected as a model system in the present study.
Journal ArticleDOI
Structural evolutions of metallic materials processed by severe plastic deformation
TL;DR: In this paper, a comprehensive review on important micro-structural evolutions and major microstructural features induced by SPD processing in single-phase metallic materials with face-centered cubic structures, body-centered cylindrical structures, and hexagonal close-packed structures, as well as in multi-phase alloys is provided.
Journal ArticleDOI
The influence of silicon in tempered martensite: Understanding the microstructure-properties relationship in 0.5-0.6 wt.% C steels
B. Kim,Elodie Boucard,Thomas Sourmail,D. San Martín,Nathalie Gey,Pedro E.J. Rivera-Díaz-del-Castillo +5 more
TL;DR: In this paper, the strengthening contributions in medium-carbon tempered martensite are revealed by using transmission electron microscopy and synchrotron radiation X-ray diffraction, the different microstructural features have been captured; these include precipitation, grain boundary, solid solution and dislocation forest strengthening.
Journal ArticleDOI
Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel
TL;DR: In this article, a physical metallurgy-guided machine learning model was developed, wherein intermediate parameters were generated based on original inputs and PM principles, e.g., equilibrium volume fraction (Vf) and driving force (Df) for precipitation, and these were added to the original dataset vectors as extra dimensions to participate in and guide the ML process.
Journal ArticleDOI
Effects of Mn partitioning on nanoscale precipitation and mechanical properties of ferritic steels strengthened by NiAl nanoparticles
TL;DR: In this paper, the critical role of Mn partitioning in the formation of ordered NiAl nanoparticles in ferritic steels has been examined through a combination of atom probe tomography (APT) and thermodynamic and first-principles calculations.
References
More filters
Book
Theory of Dislocations
John Price Hirth,Jens Lothe +1 more
TL;DR: Dislocations in Isotropic Continua: Effects of Crystal Structure on Dislocations and Dislocation-Point-Defect Interactions at Finite temperatures.
Journal ArticleDOI
The kinetics of precipitation from supersaturated solid solutions
I.M. Lifshitz,V.V. Slyozov +1 more
TL;DR: In this paper, an analysis is made of the process whereby diffusion effects can cause the precipitation of grains of a second phase in a supersaturated solid solution, and the kinetics of this type of grain growth are examined in detail.
Book
Applied Statistics and Probability for Engineers
TL;DR: Montgomery and Runger's Engineering Statistics text as discussed by the authors provides a practical approach oriented to engineering as well as chemical and physical sciences by providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers.
Journal ArticleDOI
The Thermo-Calc databank system☆
TL;DR: Using the facilities of Thermo-Calc one can tabulate thermodynamic data, calculate the heat change of chemical reactions and their driving force, evaluate equilibria for chemical systems and phase transformations and calculate various types of multicomponent phase diagrams by an automatic mapping procedure.
Journal ArticleDOI
Applied Statistics and Probability for Engineers
TL;DR: Next, the authors discuss an additive model obtained by replacing the timevarying regression coef cients by constants, and a brief summary of multivariate survival analysis, including measures of association and frailty models.