Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives

Tissue paper production frequently combines two main types of raw materials: cellulose fibers from renewable sources and polymer-based additives. The development of premium products with improved properties and functionalities depends on the optimization of both. This work focused on the combination...

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Autores principales:	Flávia P. Morais, Ana M. M. S. Carta, Maria E. Amaral, Joana M. R. Curto
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	absorption cellulose fibers computational simulation furnish optimization modeling polymeric additives Organic chemistry QD241-441
Acceso en línea:	https://doaj.org/article/bfd1fff602424f46bf7a926d9b13ddd6
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spelling	oai:doaj.org-article:bfd1fff602424f46bf7a926d9b13ddd62021-11-25T18:49:03ZComputational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives10.3390/polym132239822073-4360https://doaj.org/article/bfd1fff602424f46bf7a926d9b13ddd62021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4360/13/22/3982https://doaj.org/toc/2073-4360Tissue paper production frequently combines two main types of raw materials: cellulose fibers from renewable sources and polymer-based additives. The development of premium products with improved properties and functionalities depends on the optimization of both. This work focused on the combination of innovative experimental and computational strategies to optimize furnish. The main goal was to improve the functional properties of the most suitable raw materials for tissue materials and develop new differentiating products with innovative features. The experimental plan included as inputs different fiber mixtures, micro/nano fibrillated cellulose, and biopolymer additives, and enzymatic and mechanical process operations. We present an innovative tissue paper simulator, the <i>SimTissue</i>, that we have developed, to establish the correlations between the tissue paper process inputs and the end-use paper properties. Case studies with industrial interest are presented in which the tissue simulator was used to design tissue paper materials with different fiber mixtures, fiber modification treatments, micro/nano fibrillated cellulose, and biopolymer formulations, and to estimate tissue softness, strength, and absorption properties. The <i>SimTissue</i> was able to predict and optimize a broader range of formulations containing micro/nanocellulose fibers, biopolymer additives, and treated-fiber mixtures, saving laboratory and industrial resources.Flávia P. MoraisAna M. M. S. CartaMaria E. AmaralJoana M. R. CurtoMDPI AGarticleabsorptioncellulose fiberscomputational simulationfurnish optimizationmodelingpolymeric additivesOrganic chemistryQD241-441ENPolymers, Vol 13, Iss 3982, p 3982 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	absorption cellulose fibers computational simulation furnish optimization modeling polymeric additives Organic chemistry QD241-441
spellingShingle	absorption cellulose fibers computational simulation furnish optimization modeling polymeric additives Organic chemistry QD241-441 Flávia P. Morais Ana M. M. S. Carta Maria E. Amaral Joana M. R. Curto Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives
description	Tissue paper production frequently combines two main types of raw materials: cellulose fibers from renewable sources and polymer-based additives. The development of premium products with improved properties and functionalities depends on the optimization of both. This work focused on the combination of innovative experimental and computational strategies to optimize furnish. The main goal was to improve the functional properties of the most suitable raw materials for tissue materials and develop new differentiating products with innovative features. The experimental plan included as inputs different fiber mixtures, micro/nano fibrillated cellulose, and biopolymer additives, and enzymatic and mechanical process operations. We present an innovative tissue paper simulator, the <i>SimTissue</i>, that we have developed, to establish the correlations between the tissue paper process inputs and the end-use paper properties. Case studies with industrial interest are presented in which the tissue simulator was used to design tissue paper materials with different fiber mixtures, fiber modification treatments, micro/nano fibrillated cellulose, and biopolymer formulations, and to estimate tissue softness, strength, and absorption properties. The <i>SimTissue</i> was able to predict and optimize a broader range of formulations containing micro/nanocellulose fibers, biopolymer additives, and treated-fiber mixtures, saving laboratory and industrial resources.
format	article
author	Flávia P. Morais Ana M. M. S. Carta Maria E. Amaral Joana M. R. Curto
author_facet	Flávia P. Morais Ana M. M. S. Carta Maria E. Amaral Joana M. R. Curto
author_sort	Flávia P. Morais
title	Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives
title_short	Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives
title_full	Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives
title_fullStr	Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives
title_full_unstemmed	Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives
title_sort	computational simulation tools to support the tissue paper furnish management: case studies for the optimization of micro/nano cellulose fibers and polymer-based additives
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/bfd1fff602424f46bf7a926d9b13ddd6
work_keys_str_mv	AT flaviapmorais computationalsimulationtoolstosupportthetissuepaperfurnishmanagementcasestudiesfortheoptimizationofmicronanocellulosefibersandpolymerbasedadditives AT anammscarta computationalsimulationtoolstosupportthetissuepaperfurnishmanagementcasestudiesfortheoptimizationofmicronanocellulosefibersandpolymerbasedadditives AT mariaeamaral computationalsimulationtoolstosupportthetissuepaperfurnishmanagementcasestudiesfortheoptimizationofmicronanocellulosefibersandpolymerbasedadditives AT joanamrcurto computationalsimulationtoolstosupportthetissuepaperfurnishmanagementcasestudiesfortheoptimizationofmicronanocellulosefibersandpolymerbasedadditives
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Computational Simulation Tools to Support the Tissue Paper Furnish Management: Case Studies for the Optimization of Micro/Nano Cellulose Fibers and Polymer-Based Additives

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