Thermo-mechanical FE model with memory effect for 304L austenitic stainless steel presenting microstructure gradient
Anne Le P\'echeur (MSSMat), Francois Curtit (EDF), Michel Clavel, (MSSMat), Jean-Michel Stephan, Colette Rey (MSSMat), Philippe Bompard, (MSSMat)

TL;DR
This study develops a thermo-mechanical finite element model incorporating memory effects to analyze stress and strain fields in 304L stainless steel tubular specimens under fatigue, accounting for microstructure gradients and surface finish effects.
Contribution
It introduces a novel elasto-visco-plastic model with memory effects based on microstructure gradients, validated against experimental cyclic tests for accurate fatigue analysis.
Findings
Stress and strain fields vary with cycles, showing stabilization and ratcheting effects.
The model accurately predicts experimental cyclic stress-strain behavior.
Results inform fatigue safety margins considering microstructure and surface finish.
Abstract
The main purpose of this study is to determine, via a three dimensions Finite Element analysis (FE), the stress and strain fields at the inner surface of a tubular specimen submitted to thermo-mechanical fatigue. To investigate the surface finish effect on fatigue behaviour at this inner surface, mechanical tests were carried out on real size tubular specimens under various thermal loadings. X ray measurements, Transmission Electron Microscopy observations and micro-hardness tests performed at and under the inner surface of the specimen before testing, revealed residual internal stresses and a large dislocation microstructure gradient in correlation with hardening gradients due to machining. A memory effect, bound to the pre-hardening gradient, was introduced into an elasto-visco-plastic model in order to determine the stress and strain fields at the inner surface. The temperature…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
