Modeling strength and failure variability due to porosity in additively manufactured metals
| Autor: | Gregory H. Teichert, Nathan M. Heckman, Mohammad Khalil, Reese E. Jones, Krishna Garikipati, Coleman Alleman, Brad L. Boyce |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
education.field_of_study
Yield (engineering) Materials science Mechanical Engineering Population Computational Mechanics General Physics and Astronomy 010103 numerical & computational mathematics Plasticity Microstructure 01 natural sciences Marginal likelihood Computer Science Applications 010101 applied mathematics Mechanics of Materials Process control 0101 mathematics Uncertainty quantification Porosity education Biological system |
| Zdroj: | Computer Methods in Applied Mechanics and Engineering. 373:113471 |
| ISSN: | 0045-7825 |
| DOI: | 10.1016/j.cma.2020.113471 |
| Popis: | To model and quantify the variability in plasticity and failure of additively manufactured metals due to imperfections in their microstructure, we have developed uncertainty quantification methodology based on pseudo marginal likelihood and embedded variability techniques. We account for both the porosity resolvable in computed tomography scans of the initial material and the sub-threshold distribution of voids through a physically motivated model. Calibration of the model indicates that the sub-threshold population of defects dominates the yield and failure response. The technique also allows us to quantify the distribution of material parameters connected to microstructural variability created by the manufacturing process, and, thereby, make assessments of material quality and process control. |
| Databáze: | OpenAIRE |
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