| Literature DB >> 31976206 |
David B Brough1, Abhiram Kannan2, Benjamin Haaland3, David G Bucknall2, Surya R Kalidindi1,2,4.
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. © The Minerals, Metals & Materials Society 2017.Entities:
Keywords: Hierarchical materials; Materials knowledge systems; Microstructure evolution; Multiscale materials; Polyethylene; Process-structure linkage; PyMKS; SAXS; Time series
Year: 2017 PMID: 31976206 PMCID: PMC6945990 DOI: 10.1007/s40192-017-0093-4
Source DB: PubMed Journal: Integr Mater Manuf Innov ISSN: 2193-9764