Influence of reinforcement in the honeycomb structures under axial compressive load

Tiwari, Gaurav; Thomas, Tiju; Khandelwal, Ravi Prakash

doi:10.1016/j.tws.2017.06.010

Cited by 42 publications

(16 citation statements)

References 31 publications

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“…The researchers in the article [17] investigate the effect of a cell size on the cutting ability of hexagonal thin-walled aluminum honeycombs cut with a wide blade under quasi-static compression.…”

Section: Related Workmentioning

confidence: 99%

Method for the Optimal Positioning of the Cutter at the Honeycomb Block Cutting Applying Computer Vision

2021

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The problem of optimal cutting of honeycomb blocks is considered in the article. The urgency of using irregular shapes application cutting from honeycomb blocks made of modern composite materials is substantiated. The problem is to obtain a cut of a given shape from honeycomb blocks. The optimal cutting plane of the single cell face of a honeycomb block is found on the basis of calculations for the stability and stretching force in adjacent faces applying a finite element method. The problem of obtaining faces and nodal points of a honeycomb block when calculating the coordinates of the optimal cut points of a real honeycomb block using machine vision methods. The most suitable algorithms, a part of the OpenCV library, are considered. The authors decided to develop their own algorithm for recognizing an irregular cellular structure since the existed algorithms did not solve the stated problem. As opposed to existing algorithms, the proposed one finds all the nodal points and faces even on the deformed sections of the honeycomb block avoiding false faces. The method helps to find coordinates of all nodal points and determine the connection of adjacent points with a face. As a result, real faces, not perfect geometrically, are replaced by line segments. The test result proves its correctness and practical applicability. The proposed method solves an optimal cutting problem of aluminum honeycomb block. It should be noted that the proposed method is customizable and can be applied to any honeycomb or cellular panels.INDEX TERMS Image recognition, composite materials, cutting tools, machine vision.

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Section: Related Workmentioning

confidence: 99%

Method for the Optimal Positioning of the Cutter at the Honeycomb Block Cutting Applying Computer Vision

2021

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“…In the case of the aluminum material model, MAT24 (*MAT_PIECEWISE_LINEAR_PLASTICITY) was set, which is a material model that generally reflects the characteristics of the elastic–plastic behavior well. It can also define the failure criterion according to the stress–strain relationship [ 34 , 35 ].…”

Section: Finite-element Analysis and Verificationmentioning

confidence: 99%

Crash Analysis of Aluminum/CFRP Hybrid Adhesive Joint Parts Using Adhesive Modeling Technique Based on the Fracture Mechanics

et al. 2021

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This study describes the numerical simulation results of aluminum/carbon-fiber-reinforced plastic (CFRP) hybrid joint parts using the explicit finite-element solver LS-DYNA, with a focus on capturing the failure behavior of composite laminates as well as the adhesive capacity of the aluminum–composite interface. In this study, two types of adhesive modeling techniques were investigated: a tiebreak contact condition and a cohesive zone model. Adhesive modeling techniques have been adopted as a widely commercialized model of structural adhesives to simulate adhesive failure based on fracture mechanics. CFRP was studied with numerical simulations utilizing LS-DYNA MAT54 to analyze the crash capability of aluminum/CFRP. To evaluate the simulation model, the results were compared with the force–displacement curve from numerical analysis and experimental results. A parametric study was conducted to evaluate the effect of different fracture toughness values used by designers to predict crash capability and adhesive failure of aluminum/CFRP parts.

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“…A reinforced honeycomb [Tiwari et al 2018, He et al 2015, Thomas et al 2019, Thomas et al 2018] is a core with reinforced layer in between each individual layer of conventional hexagonal honeycomb, see Fig 1 . Reinforced honeycomb core was modeled with varying cell size 7 mm, 10 mm, and 15 mm respectively. While cell wall thickness was taken as 0.1, 0.2, 0.3 and 0.4 mm respectively.…”

Section: Numerical Modelingmentioning

confidence: 99%

Performance evaluation of Reinforced honeycomb structure under blast load

Thomas¹,

Tiwari²

2021

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In this study, numerical simulations were carried out to explore the response of the reinforced honeycomb sandwich structure with varying cell size (7, 10 and 15 mm), node length (25, 37.5 and 50 mm) and cell wall thickness (0.1, 0.2, 0.3 and 0.4 mm). The honeycomb structure made of aluminum alloy 8011 were subjected to low intensity blast loads by varying mass of TNT (10 g, 15 g, 20 g and 25 g) and standoff distance (200 mm, 250 mm and 300 mm). Commercial finite element code LS-DYNA was employed to carry out numerical simulations for both conventional and reinforced honeycomb sandwich structure keeping identical geometrical and blast load parameters. The deformation of the back face sheet was a major parameter to establish blast resistance of the core. Failure mechanisms of reinforced honeycomb was characterized as fully folded region, partially folded region, and clamped region. Reinforced honeycomb sandwich outperformed the conventional honeycomb sandwich structure of identical geometry parameters under similar blast loads. Increase in cell-wall thickness and node length enhanced the blast resistance whereas, increment in cell size reduced the blast resistance of the reinforced honeycomb sandwich structure.

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Influence of reinforcement in the honeycomb structures under axial compressive load

Cited by 42 publications

References 31 publications

Method for the Optimal Positioning of the Cutter at the Honeycomb Block Cutting Applying Computer Vision

Method for the Optimal Positioning of the Cutter at the Honeycomb Block Cutting Applying Computer Vision

Crash Analysis of Aluminum/CFRP Hybrid Adhesive Joint Parts Using Adhesive Modeling Technique Based on the Fracture Mechanics

Performance evaluation of Reinforced honeycomb structure under blast load

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