Literature DB >> 31976206

Extraction of Process-Structure Evolution Linkages from X-ray Scattering Measurements Using Dimensionality Reduction and Time Series Analysis.

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


  1 in total

1.  Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model.

Authors:  Yucheng Fu; William E Frazier; Kyoo Sil Choi; Lei Li; Zhijie Xu; Vineet V Joshi; Ayoub Soulami
Journal:  Sci Rep       Date:  2022-06-28       Impact factor: 4.996

  1 in total

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