Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
858615 | Procedia Engineering | 2014 | 7 Pages |
The grain microstructure and damage mechanisms at the grain level are the key factors that influence fatigue of metals in small dimensions. This is addressed by establishing a micro-mechanical model for the prediction of multiaxial high cycle fatigue (HCF) at a length scale of about 100 μm, which is typical for micro-electro- mechanical systems (MEMS). The HCF model considers elasto-plastic behavior of metals at grain level and microstructural parameters, i.e. grain size and grain orientation. While for individual grains a deterministic failure prediction is obtained, the model serves as a failure criterion in probabilistic studies on aggregates of grains. For this, it is assumed that a fatigue crack initiates in a grain, if the accumulated plastic shear strain in the grain exceeds a critical limit. For model validation, the grain size and grain orientation on the surface of nickel micro-samples were measured with Electron Backscatter Diffraction (EBSD) analysis after fatigue testing. The overall predictive power of the HCF model - which grains will be damaged by fatigue- is validated. Nevertheless, some misclassifications occur as some grains are damaged, which were predicted to be safe. For some cases, post-fatigue investigations on individual grains reveal reasons for those misclassifications.