Tensile and micro-compression behaviour of AISI 316L austenitic stainless steel single crystals at 20 °C and 300 °C: Experiments, modelling and simulations

instrumentation Size effects micro-compression tests structural health monitoring ultrasound dislocation density predicted strain hardening behaviour Single crystal plasticity [PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph] Constitutive model simulation Tensile curves calibration tensile tests [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 620 300 °C [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 316L stainless steel fast Fourier transform (FFT) solver compression tests Elasticity moduli Micromechanics room temperature temperature dependence
DOI: 10.1016/j.msea.2024.146471 Publication Date: 2024-04-09T15:27:06Z
ABSTRACT
International audience<br/>The mechanical behaviour of 316L stainless steel single crystal is characterised at room temperature and 300°C. Elasticity moduli at room temperature are obtained with resonant ultrasound spectroscopy. Their dependence on temperature is calibrated with molecular dynamics simulations. The plastic behaviour is characterised by tensile tests on millimetre-sized single crystal specimens and compression tests on micrometre-sized single crystal specimens. A constitutive model of crystal plasticity based on dislocation density hardening at finite strains is developed and implemented in an open-source material subroutine compatible with several finite element (FE) and fast Fourier transform (FFT) solvers. Tensile curves at room temperature and 300 ◦ C are used to calibrate the interaction coefficients for self and coplanar dislocation interactions. The dislocation mean free path for obstacle dislocations and the annihilation distance are also calibrated. The calibrated model predicts tensile curves in excellent agreement with experimental data. In addition, the predicted plastic strain fields are in good agreement with the experimental fields obtained by digital image correlation. Semi-quantitative agreement between simulation and experimental data is obtained for micro-compression tests without further calibration of the model. Finally, an extension to polycrystals with grain size effects is finally proposed. The predicted strain hardening behaviour is compared with experimental data on stainless steel polycrystals.<br/>
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