Mechanical behavior of sandwich structures with varying core material – A review

Alphonse, Mathew; Raja, V.K. Bupesh; Krishna, V. Gopala; Kiran, R. Sai Uday; Subbaiah, B. Venkata; Chandra, L.

doi:10.1016/j.matpr.2020.11.722

Cited by 17 publications

(5 citation statements)

References 40 publications

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“…These findings are consistent with previous studies that have reported the superior impact resistance of PEEK composites due to their high strength-to-weight ratio and excellent mechanical properties [42]. Moreover, using honeycomb structures in composite materials has been demonstrated to enhance their energy absorption capability and mechanical properties [43,44].…”

Section: Load-displacement Curvessupporting

confidence: 92%

Numerical Study of Low-Velocity Impact Response of a Fiber Composite Honeycomb Sandwich Structure

Zhang

2023

Materials

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Engineering applications for honeycomb sandwich structures (HSS) are well recognized. Heterogeneous structures have been created using polyetheretherketone (PEEK) material, glass fiber-reinforced PEEK (GF-PEEK), and carbon fiber-reinforced PEEK (CF-PEEK) to further enhance the load-carrying capacity, stiffness, and impact resistance of HSS. In this study, we investigated the low-velocity impact response of HSS using numerical simulation. Our findings demonstrate that the choice of construction material significantly affects the impact resistance and structural stability of the HSS. We found that using fiber-reinforced PEEK significantly enhances the impact resistance of the overall structure, with GF-PEEK identified as the more appropriate face sheet material for the composite HSS based on a comparative study of load–displacement curves. Analysis of the plastic deformation of the honeycomb core, in combination with the stress and strain distribution of the composite HSS after low-velocity impact, indicates that CF-PEEK face sheets cause more noticeable damage to the core, resulting in evident plastic deformation. Additionally, we discovered that the use of fiber-reinforced materials effectively reduces deflection during low-velocity dynamic impact, particularly when both the face sheet and honeycomb core of the HSS are composed of the same fiber-reinforced PEEK material. These results provide valuable insights into the design and optimization of composite HSS for impact resistance applications.

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Section: Load-displacement Curvessupporting

confidence: 92%

Numerical Study of Low-Velocity Impact Response of a Fiber Composite Honeycomb Sandwich Structure

Zhang

2023

Materials

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“…To fully harness the performance of these materials, a thorough understanding of their reliability during service is crucial. Tensile and bending are key indicators of their fundamental mechanical properties [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ]. Tensile performance directly affects the stability and ductility of the material under tensile stress, forming the basis for evaluating its overall strength.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation Integrated with Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Laminates

Hu,

Wei,

Wang

et al. 2024

Polymers

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This study unveils a machine learning (ML)-assisted framework designed to optimize the stacking sequence and orientation of carbon fiber-reinforced polymer (CFRP)/metal composite laminates, aiming to enhance their mechanical properties under quasi-static loading conditions. This work pioneers the expansion of initial datasets for ML analysis in the field by uniquely integrating the experimental results with finite element simulations. Nine ML models, including XGBoost and gradient boosting, were assessed for their precision in predicting tensile and bending strengths. The findings reveal that the XGBoost and gradient boosting models excel in tensile strength prediction due to their low error rates and high interpretability. In contrast, the decision trees, K-nearest neighbors (KNN), and random forest models show the highest accuracy in bending strength predictions. Tree-based models demonstrated exceptional performance across various metrics, notably for CFRP/DP590 laminates. Additionally, this study investigates the impact of layup sequences on mechanical properties, employing an innovative combination of ML, numerical, and experimental approaches. The novelty of this study lies in the first-time application of these ML models to the performance optimization of CFRP/metal composites and in providing a novel perspective through the comprehensive integration of experimental, numerical, and ML methods for composite material design and performance prediction.

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“…Therefore, the conventional core materials of sandwich structures may consist of different types of components such as foam, cellular lattice, truss, corrugated, honeycomb, etc. [11,12].…”

Section: Introductionmentioning

confidence: 99%

Energy absorption of 2D auxetic structures fabricated by fused deposition modeling

Tunay,

Cetin

2023

J Braz. Soc. Mech. Sci. Eng.

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Auxetic structures exhibiting unusual mechanical properties from conventional materials are used in many industries and applications due to their high strength, energy absorption performance, high deformation resistance, impact resistance and flexibility. In order to further improve their mechanical properties, it is very important to investigate the deformation behavior and energy absorption characteristics of auxetic structures with different design parameters. In this context, the energy absorption performance of re-entrant auxetic structures with different design parameters i.e., strut orientation, strut angle, and strut thickness was investigated under axial loading in this study. The auxetic structures were produced by the fused deposition modeling method and the energy absorption performances of the structures were evaluated using various crashworthiness indicators such as energy absorption (EA), specific energy absorption (SEA), mean crash force (MCF), peak crash force (PCF) and crash force efficiency (CFE). Analysis of variance (ANOVA) was also implemented to determine the influence of design parameters on MCF, SEA and CFE. The results showed that the strut thickness is the highest influencing parameter on the values for all chosen energy absorption criteria. In particular, the contribution ratios of strut thickness, strut angle and strut orientation on the values of SEA are74.99%, 11.45% and 3.25%, respectively. These values are 63.74%, 7.22% and 0.92% for CFE values, respectively.

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Mechanical behavior of sandwich structures with varying core material – A review

Cited by 17 publications

References 40 publications

Numerical Study of Low-Velocity Impact Response of a Fiber Composite Honeycomb Sandwich Structure

Numerical Study of Low-Velocity Impact Response of a Fiber Composite Honeycomb Sandwich Structure

Experimental and Numerical Investigation Integrated with Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Laminates

Energy absorption of 2D auxetic structures fabricated by fused deposition modeling

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