Abstract
The rapid development of robust, reliable, and reduced-order process-structure evolution linkages that take into account hierarchical structure are essential to expedite the development and manufacturing of new materials. Towards this end, this paper lays a theoretical framework that injects the established time series analysis into the recently developed materials knowledge systems (MKS) framework. This new framework is first presented and then demonstrated on an ensemble dataset obtained using small-angle X-ray scattering on semi-crystalline linear low density polyethylene films from a synchrotron X-ray scattering experiment.
Original language | English |
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Pages (from-to) | 147-159 |
Number of pages | 13 |
Journal | Integrating Materials and Manufacturing Innovation |
Volume | 6 |
Issue number | 2 |
Early online date | 10 Mar 2017 |
DOIs | |
Publication status | Published - Jun 2017 |
Keywords
- Hierarchical materials
- Materials knowledge systems
- Microstructure evolution
- Multiscale materials
- Polyethylene
- Process-structure linkage
- PyMKS
- SAXS
- Time series
ASJC Scopus subject areas
- General Materials Science
- Industrial and Manufacturing Engineering