alexa Statistical Analysis of the Catalyst and Activator Level on <em>In Situ</em> Polymerization of Laurolactam during Reactive Melt Blending | OMICS International | Abstract
ISSN: 2157-7544

Journal of Thermodynamics & Catalysis
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Research Article

Statistical Analysis of the Catalyst and Activator Level on In Situ Polymerization of Laurolactam during Reactive Melt Blending

Faridirad F, Ahmadi S, Barmar MD* and Naderi G

Iran Polymer and Petrochemical Institution, Pazhouhesh Blvd., Pazhouhesh Science Park, Tehran-Karaj Highway, Iran

Corresponding Author:
Mohammed Barmar
Iran Polymer and Petrochemical Institution
Pazhouhesh Blvd., Pazhouhesh Science Park
Tehran-Karaj Highway, Iran
Tel: +9844787020
Fax: +9844787023
E-mail: [email protected]

Received date: May 10, 2016; Accepted date: May 20, 2016; Published date: June 06, 2016

Citation: Faridirad F, Ahmadi S, Barmar MD, Naderi G (2016) Statistical Analysis of the Catalyst and Activator Level on In Situ Polymerization of Laurolactam during Reactive Melt Blending. J Thermodyn Catal 7:168. doi:10.4172/2157-7544.1000168

Copyright: © 2016 Faridirad F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In the present paper, in situ ring opening anionic polymerization of laurolactam towards polyamide 12 (PA12) was investigated, during reactive melt blending. The reaction was taken place in an internal mixer, in the presence of sodium caprolactam (catalyst), and toluene diisocyanate (activator). The effect of catalyst and activator contents on initiation time of the reaction and the residual monomer was carried out in this study. Solvent extraction method was used in order to remove the residual monomer. The experimentation is further undergone to statistical analysis to extract the absolute optimal values of activator- catalyst content in synthesized polyamide 12. Two-factor design in Response Surface Method (RMS) is suitably applied for validation analysis of experimental data. The optimum content of catalyst and activator was obtained 2.53% and 1.15%, which offers the polyamide 12 with minimum residual monomer equal to 1.26%.

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