(Nb,Ti)(C,N)‐Precipitates in High‐Strength Low‐Alloyed Steels—Modeling, Characterization and Validation

The chemical composition and microstructural evolution during thermomechanical treatments of high‐strength low‐alloy steels containing Nb and Ti determine the mechanical properties. To optimize processing and heat treatment, it is important to characterize the microstructures and to understand how the mechanical properties are affected by the different elements of the microstructures. Herein, it has been attempted to investigate the nucleation and growth of niobium–titanium carbonitrides using transmission electron microscopy (TEM)‐energy‐dispersive X‐ray spectroscopy measurements. Since TEM measurements alone tend to suffer from poor statistics, an attempt is made to establish a kinetic/thermodynamic model that is representative for larger volumes of material while giving fair credit to the local TEM results. The present work goes beyond the simulation of temperature‐dependent average compositional changes of precipitates. Instead, this study aims to capture the entire compositional spectrum of precipitates and their evolution during processing and heat treatment. The model used is based on the CALPHAD approach but has been extended by a Monte Carlo approach. The focus is on the rationalization of particle compositions that are experimentally observable by TEM and cannot be obtained by conventional mean‐field models based on extremum principles.

Authors

Institutions

Publication Details

Journal
Advanced Engineering Materials
Published
2025-09-29
DOI
https://doi.org/10.1002/adem.202500938
Primary Topic
Microstructure and Mechanical Properties of Steels
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

(Nb,Ti)(C,N)‐Precipitates in High‐Strength Low‐Alloyed Steels—Modeling, Characterization and Validation

Eric Detemple, Marc Laub, Christian Motz, Sebastian Scholl
Advanced Engineering Materials
Microstructure and Mechanical Properties of Steels
article

(Nb,Ti)(C,N)‐Precipitates in High‐Strength Low‐Alloyed Steels—Modeling, Characterization and Validation

Eric Detemple, Marc Laub, Christian Motz, Sebastian Scholl
article en

Abstract

The chemical composition and microstructural evolution during thermomechanical treatments of high‐strength low‐alloy steels containing Nb and Ti determine the mechanical properties. To optimize processing and heat treatment, it is important to characterize the microstructures and to understand how the mechanical properties are affected by the different elements of the microstructures. Herein, it has been attempted to investigate the nucleation and growth of niobium–titanium carbonitrides using transmission electron microscopy (TEM)‐energy‐dispersive X‐ray spectroscopy measurements. Since TEM measurements alone tend to suffer from poor statistics, an attempt is made to establish a kinetic/thermodynamic model that is representative for larger volumes of material while giving fair credit to the local TEM results. The present work goes beyond the simulation of temperature‐dependent average compositional changes of precipitates. Instead, this study aims to capture the entire compositional spectrum of precipitates and their evolution during processing and heat treatment. The model used is based on the CALPHAD approach but has been extended by a Monte Carlo approach. The focus is on the rationalization of particle compositions that are experimentally observable by TEM and cannot be obtained by conventional mean‐field models based on extremum principles.

Advanced Engineering MaterialsVol. 27(22)
Dillinger Hütte (Germany) (DE), Saarland University (DE)
Openalex Percentile: Top 72%
Microstructure and Mechanical Properties of Steels
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.