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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Gungor, Salih
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Topics
Publications (7/7 displayed)
- 2022Creep deformation measurement of ex‐service 12% Cr steel over nonuniform stress fields using digital image correlationcitations
- 2018The influence of temperature on deformation-induced martensitic transformation in 301 stainless steelcitations
- 2018Examining Stress Relaxation in a Dissimilar Metal Weld Subjected to Postweld Heat Treatmentcitations
- 2017Measurement of Creep Deformation across Welds in 316H Stainless Steel Using Digital Image Correlationcitations
- 2016<i>In situ</i> observation of strain and phase transformation in plastically deformed 301 austenitic stainless steelcitations
- 2015Experimental and numerical study of strength mismatch in cross-weld tensile testing
- 2010Effect of prior cold work on the mechanical properties of weldments
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article
<i>In situ</i> observation of strain and phase transformation in plastically deformed 301 austenitic stainless steel
Abstract
To inform the design of superior transformation-induced plasticity (TRIP) steels, it is important to understand what happens at the microstructural length scales. In this study, strain-induced martensitic transformation is studied by <i>in situ</i> digital image correlation (DIC) in a scanning electron microscope. Digital image correlation at submicron length scales enables mapping of transformation strains with high confidence. These are correlated with electron backscatter diffraction (EBSD) prior to and post deformation process to get a comprehensive understanding of the strain-induced transformation mechanism. The results are compared with mathematical models for enhanced prediction of strain-induced martensitic phase transformation.