Intelligent Polymer Design using High Throughput Modelling

Abstract

Group Interaction Modelling of polymer properties has been extended to take advantage of high throughput techniques. This allows the accurate prediction of non-linear polymer properties over a larger range of variables than previously possible. Further, the extended high throughput model framework includes a basic Multi Classifier System that facilitates ranking of the output data, depending on user preference. The model work in two modes; forwards allowing prediction of polymer properties for a range of variables, but also in reverse, allowing material suggestions to be generated for a particular property profile requirement. The model now covers a broader range of polymer types, including amorphous and semi-crystalline thermoplastics and thermosets.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 09, 2020
Accession Number
AD1106677

Entities

People

  • Joel P. Foreman
  • Olga A. Amariutei

Organizations

  • University of Sheffield

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Biomedical And Dental Materials
  • Constitutive Equations
  • Continuum Mechanics
  • Data Mining
  • Epoxy Resins
  • Equations
  • Experimental Data
  • Glass Transition Temperature
  • Materials
  • Materials Science
  • Mechanical Properties
  • Mechanics
  • Resins
  • Tensile Modulus
  • Thermoplastic Resins
  • Transition Temperature

Readers

  • Computational Modeling and Simulation
  • Polymer Science and Engineering.