Sequential algorithm and numerical analysis on mathematical model for thermal control curing process of thermoset composite materials

• Main Authors: Alias, N., Hamlan, H. A., Rahmat, H.
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/74629/1/NormaAlias2016_SequentialAlgorithmandNumericalAnalysis.pdf; http://eprints.utm.my/id/eprint/74629/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964009523&doi=10.11113%2fjt.v78.8291&partnerID=40&md5=51a688e5ceadba1be5d0a97331687f43

To reproduce and improve the efficiency of waste composite materials with consistence and high quality, it is important to tailor and control their temperature profile during curing process. Due to this phenomenon, temperature profile during curing process between two layers of composite materials, which are, resin and carbon fibre are visualized in this paper. Thus, mathematical model of 2D convection-diffusion of the heat equation of thick thermoset composite during its curing process is employed for this study. Sequential algorithms for some numerical approximation such as Jacobi and Gauss Seidel are investigated. Finite difference method schemes such as forward, backward and central methods are used to discretize the mathematical modelling in visualizing the temperature behavior of composite materials. While, the physical and thermal properties of materials used from previous studies are fully employed. The comparisons of numerical analysis between Jacobi and Gauss Seidel methods are investigated in terms of time execution, iteration numbers, maximum error, computational and complexity, as well as root means square error (RMSE). The Fourth-order Runge-Kutta scheme is applied to obtain the degree of cure for curing process of composite materials. From the numerical analysis, Gauss Seidel method gives much better output compared to Jacobi method.