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Title:Statistical modeling and optimization of the drawing process of bioderived polylactide/poly(dodecylene furanoate) wet-spun fibers
Authors:ID Rigotti, Daniele (Author)
ID Fredi, Giulia (Author)
ID Perin, Davide (Author)
ID Bikiaris, Dimitrios (Author)
ID Pegoretti, Alessandro (Author)
ID Dorigato, Andrea (Author)
Files:.pdf polymers-14-00396.pdf (1,23 MB)
MD5: B30F9E9261B6ED84D7438E6DFD2D52D2
 
URL https://www.mdpi.com/2073-4360/14/3/396
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Drawing is a well-established method to improve the mechanical properties of wet-spun fibers, as it orients the polymer chains, increases the chain density, and homogenizes the microstructure. This work aims to investigate how drawing variables, such as the draw ratio, drawing speed, and temperature affect the elastic modulus (E) and the strain at break (εB) of biobased wet-spun fibers constituted by neat polylactic acid (PLA) and a PLA/poly(dodecamethylene 2,5-furandicarboxylate) (PDoF) (80/20 wt/wt) blend. Drawing experiments were conducted with a design of experiment (DOE) approach following a 24 full factorial design. The results of the quasi-static tensile tests on the drawn fibers, analyzed by the analysis of variance (ANOVA) and modeled through the response surface methodology (RSM), highlight that the presence of PDoF significantly lowers E, which instead is maximized if the temperature and draw ratio are both low. On the other hand, εB is enhanced when the drawing is performed at a high temperature. Finally, a genetic algorithm was implemented to find the optimal combination of drawing parameters that maximize both E and εB. The resulting Pareto curve highlights that the temperature influences the mechanical results only for neat PLA fibers, as the stiffness increases by drawing at lower temperatures, while optimal Pareto points for PLA/PDoF fibers are mainly determined by the draw ratio and the draw rate.
Keywords:fibers, poly(lactic acid), furanoate polyesters, drawing, response surface methodology, genetic algorithms
Publication status:Published
Publication version:Version of Record
Submitted for review:30.11.2021
Article acceptance date:17.01.2022
Publication date:20.01.2022
Publisher:MDPI AG
Year of publishing:2022
Number of pages:13 str.
Numbering:Vol. 14, iss. 3 (396)
PID:20.500.12556/DKUM-92247 New window
UDC:543.2:004.8
ISSN on article:2073-4360
COBISS.SI-ID:107003907 New window
DOI:10.3390/polym14030396 New window
Copyright: © 2022 by the authors
Publication date in DKUM:24.03.2025
Views:190
Downloads:9
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Polymers
Shortened title:Polymers
Publisher:MDPI
ISSN:2073-4360
COBISS.SI-ID:517951257 New window

Document is financed by a project

Funder:CARITRO - Fondazione Cassa di Risparmio di Trento e Rovereto
Project number:grant number 2020.0265

Funder:L’Oréal
Funding programme:UNESCO For Women In Science

Funder:COST (European Cooperation in Science and Technology)
Funding programme:COST Action FUR4Sustain, CA18220

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:vlakna, furanoatni poliestri, risanje, metoda odzivnih površin, genetski algoritmi


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