Journal
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
Volume 6, Issue 2, Pages 147-159Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s40192-017-0093-4
Keywords
Materials knowledge systems; Hierarchical materials; Multiscale materials; PyMKS; SAXS; Polyethylene; Process-structure linkage; Microstructure evolution; Time series
Funding
- NSF-IGERT [1258425]
- NIST [70NANB14H191]
- ExxonMobil Chemical Company
- Division Of Graduate Education
- Direct For Education and Human Resources [1258425] Funding Source: National Science Foundation
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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.
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