Understanding TRIP by linking grain- and sample-scales in 4D

Transformation-induced plasticity (TRIP) materials uniquely combine high strength and high toughness. However, the dynamically changing composite microstructure represents a serious challenge on the way to predict their mechanical behavior. Here, we tackle the complexity of TRIP by providing a detailed 4D multi-scale view of TRIP as it occurs inside bulk steel. We will investigate the deformation and transformation behavior of deeply-embedded, individual austenite grains and grain ensembles through diffraction contrast tomography (DCT) and 3D X-ray diffraction (3DXRD). The proposed experiments will answer the following objectives, important for a better design of TRIP components: • How does the 3D neighborhood interact with and affect TRIP? • How do mechanical quantities at the macroscale relate to those at the grain scale in TRIP steel? Furthermore, these experiments will provide vital 4D datasets essential for the development and validation of predictive numerical models.