APPLICATION OF FINITE ELEMENT METHOD FOR LOW CYCLE FATIGUE ANALYSIS FOR STEEL

1 PATE Sushant B
Co-authors:
1 DUNDULIS Gintautas 2 GRYBENAS Albertas
Institutions:
1 Kaunas University of Technology, Kaunas, Lithuania, https://ktu.edu/
2 Lithuanian Energy Institute, Kaunas, Lithuania, https://www.lei.lt/
Conference:
32nd International Conference on Metallurgy and Materials, Orea Congress Hotel Brno, Czech Republic, EU, May 17 - 19, 2023
Proceedings:
Proceedings 32nd International Conference on Metallurgy and Materials
Pages:
289-295
ISBN:
978-80-88365-12-9
ISSN:
2694-9296
Published:
8th January 2024
Proceedings of the conference were published in Web of Science.
Metrics:
286 views / 306 downloads
Abstract

The experimental estimation of the fatigue curve is quite expensive and complex. It is very difficult to create an actual reactor's working environment, such as extreme temperatures, etc. Hence, the finite element method can be employed for the investigation, estimation of the fatigue behaviour of the steel, and plotting the fatigue curve, using this curve, the fatigue mechanism can be studied in detail.In this research, we have created a finite element model for investigating the low cycle fatigue behaviour of steel using LS-Dyna and ANSYS. A strain-controlled low-cycle fatigue test experiment at 300 °C on AISI 304L steel for 0.3% strain was carried out and the results of it are used to estimate the material model parameters and validate the simulation results. The simulation model is created to replicate the experiment. The simulation results are compared with the experimental results. It is observed that the simulation results are close to the experimental results. On the bases of the presented results, it can be concluded that the presented methodology can be employed for the low cycle fatigue analysis for the approximate prediction of the fatigue life and the change in the material behaviour with the increase in the number of loading cycles.

Keywords: LCF, strain-controlled fatigue testing, AISI304L steel, FEM, Numerical Investigation

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