A constitutive model for glassy polymers based on a chain orientation distribution function
(2009)- Abstract
- In this contribution a constitutive model for glassy polymers is developed. To incorporate the distribution of the polymer chains, a homogenization procedure involving a chain orientation distribution function is employed. During loading the polymer chains orient in a certain manner, leading to an evolution of the macroscopic anisotropic properties. This phenomenon is modeled by use of evolution equations for the polymer chains at the microscopic level.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1291766
- author
- Wallin, Mathias LU ; Harrysson, Magnus LU ; Ristinmaa, Matti LU and Menzel, Andreas LU
- organization
- publishing date
- 2009
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- International Symposiym on Plasticity
- editor
- Khan, Akhtar
- pages
- 3 pages
- publisher
- Neat Plasticity
- language
- English
- LU publication?
- yes
- id
- f985d9bb-35ca-46a7-bfd3-e577cfbf2955 (old id 1291766)
- date added to LUP
- 2016-04-04 09:57:50
- date last changed
- 2018-11-21 20:55:53
@inproceedings{f985d9bb-35ca-46a7-bfd3-e577cfbf2955, abstract = {{In this contribution a constitutive model for glassy polymers is developed. To incorporate the distribution of the polymer chains, a homogenization procedure involving a chain orientation distribution function is employed. During loading the polymer chains orient in a certain manner, leading to an evolution of the macroscopic anisotropic properties. This phenomenon is modeled by use of evolution equations for the polymer chains at the microscopic level.}}, author = {{Wallin, Mathias and Harrysson, Magnus and Ristinmaa, Matti and Menzel, Andreas}}, booktitle = {{International Symposiym on Plasticity}}, editor = {{Khan, Akhtar}}, language = {{eng}}, publisher = {{Neat Plasticity}}, title = {{A constitutive model for glassy polymers based on a chain orientation distribution function}}, year = {{2009}}, }