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  • Open Access

    ARTICLE

    Shape Memory Properties of Short-Glass Fiber Reinforced Epoxy Composite Programmed below Glass Transition Temperature

    Kartikey Shahi, Velmurugan Ramachandran*, Ranjith Mohan, Boomurugan Ramachandran

    Journal of Polymer Materials, Vol.42, No.2, pp. 477-496, 2025, DOI:10.32604/jpm.2025.062481 - 14 July 2025

    Abstract A Shape Memory Polymer Composite (SMPC) is developed by reinforcing an epoxy-based polymer with randomly oriented short glass fibers. Diverging from previous research, which primarily focused on the hot programming of short glass fiber-based SMPCs, this work explores the potential for programming below the glass transition temperature (Tg) for epoxy-based SMPCs. To mitigate the inherent brittleness of the SMPC during deformation, a linear polymer is incorporated, and a temperature between room temperature and Tg is chosen as the deformation temperature to study the shape memory properties. The findings demonstrate an enhancement in shape fixity and More >

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  • Open Access

    ARTICLE

    Binary Tomography Reconstruction with Limited-Data by a Convex Level-Set Method

    Haytham A. Ali1,2,*, Hiroyuki Kudo1

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3741-3756, 2022, DOI:10.32604/cmc.2022.029394 - 16 June 2022

    Abstract This paper proposes a new level-set-based shape recovery approach that can be applied to a wide range of binary tomography reconstructions. In this technique, we derive generic evolution equations for shape reconstruction in terms of the underlying level-set parameters. We show that using the appropriate basis function to parameterize the level-set function results in an optimization problem with a small number of parameters, which overcomes many of the problems associated with the traditional level-set approach. More concretely, in this paper, we use Gaussian functions as a basis function placed at sparse grid points to represent… More >

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