Premium
Developing Structure–Process–Property Relationships Using Multivariate Analysis
Author(s) -
Fiscus David M.
Publication year - 2020
Publication title -
macromolecular symposia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 76
eISSN - 1521-3900
pISSN - 1022-1360
DOI - 10.1002/masy.201900120
Subject(s) - chemometrics , process (computing) , process engineering , property (philosophy) , materials science , computer science , polymer , biochemical engineering , composite material , machine learning , engineering , philosophy , epistemology , operating system
The properties of polymeric materials depend on their composition, resin molecular architecture, and fabrication conditions, all of which have been related by reaction engineering, polymer science, and resin processing theories. However, gaps in these theories limit their use, particularly in developing new resins with superior performance. Mulitvariate statistics can remove these limitations and unravel the relationships between variables. These methods are used to establish the structure–process–property relationships of commercial polyethylene blown film resins. The results are used to develop new resins with unique and superior balances of properties. Suggestions on how to apply the results to other blown film problems are provided, such as, adapting processing conditions to accommodate resin variation and resin scale‐up operations. The methodology can be applied to other materials and applications. Key concepts are explained and developed using chemometrics.