Polyolefin ductile-brittle transition temperature predictions by machine learning

Polyolefin ductile-brittle transition temperature predictions by machine learning

Polymers show a transition from ductile-to brittle fracture behavior at decreasing temperatures. Consequently, the material toughness has to be determined across wide temperature ranges in order to determine the Ductile-Brittle Transition Temperature This usually necessitates multiple impact experim...

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Bibliographic Details
Main Authors: Florian Kiehas, Martin Reiter, Juan Pablo Torres, Michael Jerabek, Zoltán Major
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Materials
Subjects:
polyolefin
compounds
impact tests
ductile-brittle transition temperature
machine learning
feature engineering
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2023.1275640/full

Internet

https://www.frontiersin.org/articles/10.3389/fmats.2023.1275640/full

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