|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||2018 Technical Division Student Poster Competition
||SPG-27: Microfract: An Image Based Code for Micro-crack Path Prediction for Multi-phase Materials
||Siddhartha Srivastava, Veera Sundararahavan
|On-Site Speaker (Planned)
A significant portion of work in the manufacturing of new materials is focussed on testing the microstructure for crack resistance. The knowledge of the possible crack paths at microstructure level can be utilized in designing optimal materials for failure resistance. In this work, we present an image-based crack path prediction technique at the microstructure level. We present a formulation for the cohesive energy density and the excess energy to be supplied at the microstructure scale to form a crack using Ising model. The main advantage of this formulation is that it can be solved exactly (Global minima) using algorithms like Graphcut. Recent advances in Quantum annealers also provide a very fast way of computing the global minima of such systems. To this extent, we present our open-source code- 'Microfract' and illustrate its efficacy in predicting both 2D and 3D cracks in engineering materials.