DSpace Collection: Scholarly Publication from UNITEN-CFDS Community
http://dspace.uniten.edu.my/jspui/handle/123456789/22
Scholarly Publication from UNITEN-CFDS Community
2024-03-25T13:59:50Z
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Curing simulation of thermoset composites
http://dspace.uniten.edu.my/jspui/handle/123456789/9169
Title: Curing simulation of thermoset composites
Authors: Blest, D.C.; Duffy, B.R.; McKee, S.; Zulkifle, A.K.
Abstract: This paper deals with the modelling and simulation of resin flow, heat transfer and the curing of multilayer thermoset composite laminates during processing in an autoclave. Darcy's Law and Stokes' slow-flow equations are used for the flow model and, for approximately isothermal flows, a similarity solution is developed. This permits the decoupling of the velocity and thermal fields. A two-dimensional convection-diffusion heat equation with an internal heat generation term is then solved numerically, together with the equation for the rate of cure, using a finite difference scheme on a moving grid. The simulations are performed with varying composite thicknesses, and a comparison of numerical results with known experimental data confirms the approximate validity of the model. © 1999 Elsevier Science Ltd. All rights reserved.
1999-01-01T00:00:00Z
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Curing simulation by autoclave resin infusion
http://dspace.uniten.edu.my/jspui/handle/123456789/9168
Title: Curing simulation by autoclave resin infusion
Authors: Blest, D.C.; McKee, S.; Zulkifle, A.K.; Marshall, P.
Abstract: This paper deals with the modelling and simulation of resin flow, heat transfer and the curing of a multilayer thermoset composite by the resin film infusion process. For approximately isothermal flows, the model is based on Darcy's Law and Stoke's equations where a similarity solution is obtained and subsequently used in a two-dimensional convection-diffusion heat equation coupled with a rate of cure equation. A finite difference scheme is applied to the energy equation on a moving grid and simulations for varying laminate thicknesses and number of plies are performed. © 1999 Elsevier Science Ltd.
1999-01-01T00:00:00Z
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Direct solutions of N-th order initial value problems in decomposition series
http://dspace.uniten.edu.my/jspui/handle/123456789/9167
Title: Direct solutions of N-th order initial value problems in decomposition series
Authors: Yahaya, F.; Hashim, I.; Ismail, E.S.; Zulkifle, A.K.
Abstract: In this paper, a class of linear and non-linear nth-order initial value problems (IVPs) is considered. The solutions of these IVPs are obtained by adapting the modified Adomian decomposition method (MADM) as an algorithm for approximating the solutions of the equations in a sequence of time intervals (i.e. time steps). In this way the series solutions are valid for quite a long time span. Several test cases are chosen to demonstrate the performance of the multistage modified Adomian decomposition method (MMADM). ©Freund Publishing House Ltd.
2007-01-01T00:00:00Z
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Support vector machines study on english isolated-word-error classification and regression
http://dspace.uniten.edu.my/jspui/handle/123456789/9166
Title: Support vector machines study on english isolated-word-error classification and regression
Authors: Hasan, A.B.; Kiong, T.S.; Paw, J.K.S.; Zulkifle, A.K.
Abstract: A better understanding on word classification and regression could lead to a better detection and correction technique. We used different features or attributes to represent a machine-printed English word and support vector machines is used to evaluate those features into two class types of word: correct and wrong word. Our proposed support vectors model classified the words by using fewer words during the training process because those training words are to be considered as personalized words. Those wrong words could be replaced by correct words predicted by the regression process. Our results are very encouraging when compared with neural networks, Hamming distance or minimum edit distance technique; with further improvement in sight. © Maxwell Scientific Organization, 2013.
2013-01-01T00:00:00Z