Prediction and optimization of 3D-printed sandwich beams with chiral cores

Kamarian, Saeed; Khalvandi, Ali; Heidarizadi, Ehsan; Saber-Samandari, Saeed; Song, Jung-il

doi:10.1016/j.ijmecsci.2023.108747

International Journal of Mechanical Sciences

2024

DOI: 10.1016/j.ijmecsci.2023.108747

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Prediction and optimization of 3D-printed sandwich beams with chiral cores

Saeed Kamarian,

Ali Khalvandi,

Ehsan Heidarizadi

et al.

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2024

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Cited by 3 publications

References 66 publications

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Nonlinear bending and buckling analysis of 3D-printed meta-sandwich curved beam with auxetic honeycomb core

Nasri,

Salari,

Salari

et al. 2024

Aerospace Science and Technology

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Nonlinear bending and buckling analysis of 3D-printed meta-sandwich curved beam with auxetic honeycomb core

Nasri,

Salari,

Salari

et al. 2024

Aerospace Science and Technology

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Machine learning assisted design and optimization of plate-lattice structures with superior specific recovery force

Teimouri,

Challapalli,

Konlan

et al. 2024

Giant

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Dynamic Characteristics of Composite Sandwich Panel with Triangular Chiral (Tri-Chi) Honeycomb under Random Vibration

Yuan,

Zhong,

Tang

et al. 2024

Materials

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A full triangular chiral (Tri-Chi) honeycomb, combining a honeycomb structure with triangular chiral configuration, notably impacts the Poisson’s ratio (PR) and stiffness. To assess the random vibration properties of a composite sandwich panel with a Tri-Chi honeycomb core (CSP-TCH), a two-dimensional equivalent Reissner–Mindlin model (2D-ERM) was created using the variational asymptotic method. The precision of the 2D-ERM in free and random vibration analysis was confirmed through numerical simulations employing 3D finite element analysis, encompassing PSD curves and RMS responses. Furthermore, the effects of selecting the model class were quantified through dynamic numerical examples. Modal analysis revealed that the relative error of the first eight natural frequencies predicted by the 2D-ERM consistently remained below 7%, with the modal cloud demonstrating high reliability. The PSD curves and their RMS values closely aligned with 3D finite element results under various boundary conditions, with a maximum error below 5%. Key factors influencing the vibration characteristics included the ligament–rib angle of the core layer and layup modes of the composite facesheets, while the rib-to-ligament thickness ratio and the aspect ratio exert minimal influence. The impact of the ligament–rib angle on the vibration properties primarily stems from the significant shift in the core layer’s Poisson’s ratio, transitioning from negative to positive. These findings offer a rapid and precise approach for optimizing the vibration design of CSP-TCH.

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Prediction and optimization of 3D-printed sandwich beams with chiral cores

Cited by 3 publications

References 66 publications

Nonlinear bending and buckling analysis of 3D-printed meta-sandwich curved beam with auxetic honeycomb core

Nonlinear bending and buckling analysis of 3D-printed meta-sandwich curved beam with auxetic honeycomb core

Machine learning assisted design and optimization of plate-lattice structures with superior specific recovery force

Dynamic Characteristics of Composite Sandwich Panel with Triangular Chiral (Tri-Chi) Honeycomb under Random Vibration

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