105
Views
0
CrossRef citations to date
0
Altmetric
Articles

Effect of increasing the number of amino groups in the solubility of Copolysiloxanes using dissipative particle dynamics

, , & ORCID Icon
Pages 1017-1036 | Received 21 Apr 2020, Accepted 17 Jul 2020, Published online: 05 Aug 2020
 

ABSTRACT

In this work, the effect of increasing the number of amino groups in a copolysiloxane poly dimethyl-A-1,1′, dimethylpropylnaminemethylsiloxane is studied by numerical simulations. The goal is the prediction of the impact made by these groups in their solubility properties as functions of the type of solvent so that the choice of polymer/solvent can be optimised for various applications. Two polysiloxanes that are relevant: polydimethylsiloxane and polymethyilhydrogenosiloxane are studied as well. The simulations of these systems are performed using the dissipative particle dynamics model. The information on the properties is derived from density profiles, radii of gyration, second virial coefficients, and radial distribution functions for each system. The interactions of polymers in solvents of different quality (ethanol, toluene, water) are analysed in detail. An increase in the polymer’s solubility is observed as the number of amino groups is increased in toluene. Similar behaviour is found in good solvents for PDMS and PMHiS.

Acknowledgments

We would like to thank Adan Bazan for technical support. The Laboratorio Nacional de Caracterización de Propiedades Fisicoquímicas y Estructura Molecular Supercómputo Universidad de Guanajuato is gratefully acknowledged for the generous allocation of computer time for the simulations.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 827.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.