Download this article
Download this article For screen
For printing
Recent Issues
Volume 12, Issue 1
Volume 11, Issue 4
Volume 11, Issue 3
Volume 11, Issue 2
Volume 11, Issue 1
Volume 10, Issue 4
Volume 10, Issue 3
Volume 10, Issue 2
Volume 10, Issue 1
Volume 9, Issue 4
Volume 9, Issue 3
Volume 9, Issue 2
Volume 9, Issue 1
Volume 8, Issue 4
Volume 8, Issue 3
Volume 8, Issue 2
Volume 8, Issue 1
Volume 7, Issue 4
Volume 7, Issue 3
Volume 7, Issue 2
Volume 7, Issue 1
Volume 6, Issue 4
Volume 6, Issue 3
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 3-4
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 3-4
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 2
Volume 1, Issue 1
The Journal
About the journal
Ethics and policies
Peer-review process
 
Submission guidelines
Submission form
Editorial board
 
Subscriptions
 
ISSN (electronic): 2325-3444
ISSN (print): 2326-7186
 
Author index
To appear
 
Other MSP journals
This article is available for purchase or by subscription. See below.
A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics

Eduard Penner, Ismail Caylak and Rolf Mahnken

Vol. 10 (2022), No. 1, 21–50
DOI: 10.2140/memocs.2022.10.21
Abstract

Lightweight structures, such as fiber-reinforced plastics (FRPs), become increasingly important due to their excellent mechanical and lightweight properties. During the manufacturing process, curing of the matrix is a dominant effect as it is highly temperature-dependent and influences strongly the mechanical, thermal and chemical properties of FRPs. Variations in the manufacturing process, measurement errors and missing or incomplete information are typical causes of uncertainties. This contribution presents a framework for an uncertainty model for the curing process of transversely fiber-reinforced plastics. As a key idea the overall effective properties of the cured matrix during the manufacturing process are calculated by uncertainty homogenization models.

PDF Access Denied

We have not been able to recognize your IP address 3.21.248.119 as that of a subscriber to this journal.
Online access to the content of recent issues is by subscription only.

Please contact your institution's librarian suggesting a subscription, for example by using our journal-recom­mendation form. Or, visit our subscription page for instructions on purchasing a subscription.

You may also contact us at contact@msp.org
or by using our contact form.

Keywords
polymorphic uncertainty, fuzzy, stochastic, fuzzy-stochastic, composite spheres model, fuzzy-random, curing of polymers, polynomial chaos expansion, homogenization
Mathematical Subject Classification
Primary: 60A86
Milestones
Received: 11 June 2021
Accepted: 15 December 2021
Published: 14 September 2022

Communicated by Paul Steinmann
Authors
Eduard Penner
Faculty of Mechanical Engineering
Paderborn University
Paderborn
Germany
Ismail Caylak
Faculty of Mechanical Engineering
Paderborn University
Paderborn
Germany
Rolf Mahnken
Faculty of Mechanical Engineering
Paderborn University
Paderborn
Germany