Experimental characterisation of mechanical properties and continuous cooling transformation analysis for structural 690 quenched and tempered high-strength steel

Material behaviour is a central factor in mechanical engineering, and reliable numerical predictions depend on the availability of accurate material data. Such parameters are essential for modelling elastic–plastic deformation, heat transfer, phase-transformation-induced volume changes, and microstructural evolution. In computational mechanics, material models are used to capture complex nonlinear responses with sufficient fidelity to reproduce real physical behaviour. In computational welding mechanics (CWM), for example, the selected material model directly affects the accuracy of predicted residual stresses and distortions. Although simplified descriptions may be adequate for global assessments, the precision of local simulation results is strongly governed by the quality of the underlying material data. In this study, the material parameters of a newly developed quenched and tempered 690 high-strength ship steel were determined using a quenching dilatometer. The mechanical properties of this steel have been characterised previously, but the present dilatometric experiments refine the material parameters required for welding simulations. The obtained data enhance the predictive accuracy of numerical welding analyses and reduce the need for empirical model calibration. Overall, this study establishes a foundation for welding simulation of high-strength shipbuilding steel, advancing the research and development of next-generation marine applications.

Authors

Institutions

Publication Details

Journal
Welding in the World
Published
2026-09-24
DOI
https://doi.org/10.1007/s40194-026-02623-8
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Experimental characterisation of mechanical properties and continuous cooling transformation analysis for structural 690 quenched and tempered high-strength steel

A. Ahola, Jani Riski, J. Hensel, K. Hoefer et al.
Welding in the World
Welding Techniques and Residual Stresses
article

Experimental characterisation of mechanical properties and continuous cooling transformation analysis for structural 690 quenched and tempered high-strength steel

A. Ahola, Jani Riski, J. Hensel, K. Hoefer, T. Skriko, M. Neumann
article en

Abstract

Material behaviour is a central factor in mechanical engineering, and reliable numerical predictions depend on the availability of accurate material data. Such parameters are essential for modelling elastic–plastic deformation, heat transfer, phase-transformation-induced volume changes, and microstructural evolution. In computational mechanics, material models are used to capture complex nonlinear responses with sufficient fidelity to reproduce real physical behaviour. In computational welding mechanics (CWM), for example, the selected material model directly affects the accuracy of predicted residual stresses and distortions. Although simplified descriptions may be adequate for global assessments, the precision of local simulation results is strongly governed by the quality of the underlying material data. In this study, the material parameters of a newly developed quenched and tempered 690 high-strength ship steel were determined using a quenching dilatometer. The mechanical properties of this steel have been characterised previously, but the present dilatometric experiments refine the material parameters required for welding simulations. The obtained data enhance the predictive accuracy of numerical welding analyses and reduce the need for empirical model calibration. Overall, this study establishes a foundation for welding simulation of high-strength shipbuilding steel, advancing the research and development of next-generation marine applications.

Welding in the World
Chemnitz University of Technology (DE), Lappeenranta-Lahti University of Technology (FI)
Life below water
Openalex Percentile: Top 21%
Welding Techniques and Residual Stresses
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.