Polymer Resin Modelling for Chemical and Biomedical Purposes

Al-Sharify, Noor T.; Hussein, Hussein A.; Ahmed, Sura M.; Al-Sharify, Talib A.; AL-sharify, Zainab T.; Onyeaka, Helen; Naser, Zainab Abdulrazaq; Miri, Taghi; Ghosh, Soumya

doi:10.21608/ejchem.2022.117967.5314

Polymer Resin Modelling for Chemical and Biomedical Purposes

Document Type : Original Article

Authors

¹ Medical Instrumentation Engineering Department, Al-Esraa University College, Baghdad, Iraq.

² University of technology, production Engineering and Metallurgy, Baghdad, Iraq.

³ Al Rafidain University College,Computer communications Engineering,Hay Al Mustansiriyah,Baghdad,Iraq.

⁴ Department of Environmental engineering, College of Engineering, University of Al-Mustansiriyah , Baghdad, Iraq

⁵ School of Chemical Engineering, University of Birmingham, Edgbaston B15 2TT, Birmingham, UK

⁶ Department of Environmental Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq.

⁷ Dept. of Genetics, Faculty of Natural and Agricultural Sciences,Univ. of the Free State, Bloemfontein, South Africa

10.21608/ejchem.2022.117967.5314

Abstract

Thermoset polymers were widely utilized in different chemical and biomedical applications. The mechanism of monomer reactions and heat of reaction plays an essential role in using these polymers in bones and implants. Modelling of homogeneous and catalytic reactions of thermoset polymer reactions have been studied by many researchers to identify the type of reactions. Chain-growth polymerization reactions tend to increase polymer viscosity faster compared to step-growth reactions. Simulation is an effective method for predicting the mechanism of the polymerization reaction. For non-catalytic processes, the catalyst introduces a chain-growth reaction mechanism as opposed to a step-growth mechanism polymerization. The viscosity increases lead to faster attaining to the gel point. In this study, a modelling program was written to distinguish and identify the types of homogenous and catalytic reactions of polyurethane gel reactions. Experimental results of polyurethane reactions prove the results from a modelling program. Reaction temperature and viscosity profile show good agreement with the simulation results when using different amounts of catalyst reagents. his simulation provides a powerful tool for better selecting and improving polymers in bones and implants.

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