Analysis of the hybrid composite materials reinforced with natural fibers considering digital image correlation (DIC) measurements

Xu, Duohua; Cerbu, Camelia; Wang, Huaiwen; Roşca, Ileana

doi:10.1016/j.mechmat.2019.05.001

Cited by 38 publications

(19 citation statements)

References 19 publications

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“…The data was recorded in software Vic‐2D. [ 20 ] The Poisson's ratio of the specimens was calculated according to the first principal strain E 1 and the average of the second principal strain E 2. [ 21 ] The value∣E 2 /E 1 ∣of three specimens independence with the number of stages is shown in Figure 1(C).…”

Section: Methodsmentioning

confidence: 99%

Design and multi‐objective optimization of the bumper beams prepared in long glass fiber‐reinforced polypropylene

et al. 2021

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There is an increasing demand for lightweight materials in the automobile industry. In this study, the crashworthiness and crash safety performance of automobile bumper beams made of long glass fiber‐reinforced polypropylene (LGFR‐PP) composites were evaluated. First, LGFR‐PP with the 40% glass fiber was prepared by the hot‐melt impregnation method, the mechanical properties and Poisson's ratio of the LGFR‐PP specimens were tested, which are essential for the finite element analysis. Then a finite element model of aluminum alloy and LGFR‐PP bumpers was established to obtain their peak collision force, maximum intrusion, and energy absorption values under longitudinal and angular low‐speed collision conditions. Subsequently, the multi‐objective optimization was generated using optimized Latin square sampling and response surface test design, and the section thickness of the bumper beams was optimized. The results showed that Swift and Hockett's hardening model is suitable for the LGFR‐PP material. Based on the principle of equal stiffness, the mass of the anti‐collision beams made of LGFR‐PP is reduced by 17.4%, the specific energy absorption (SEA) is increased by 6%, and the cost is reduced by 69%, and both the peak impact force and the amount of collision intrusion are reduced. The multi‐objective optimized Latin hypercube experimental showed that the continuously variable cross‐section beam based on the thickness optimization balanced the impact resistance especially SEA and lightweight performance very well.

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Section: Methodsmentioning

confidence: 99%

Design and multi‐objective optimization of the bumper beams prepared in long glass fiber‐reinforced polypropylene

et al. 2021

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“…If the mechanical behaviour of a composite structure has to be simulated by using numerical models, but the exact input data, such as the ply structure or the material properties of the constituents, are not accurately known, the uncertainty in the simulation results is greatly increased. For this reason, optical measurement methods such as digital image correlation (DIC) are used to accurately determine the elastic constants of the anisotropic composites in the last years [ 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Hybrid Carbon-Aramid Composite Materials Based on Mechanical Characterization by Digital Image Correlation Method

et al. 2021

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As hybrid carbon-aramid composites become widely used in various industries, it has become imperative to mechanically characterize them using accurate methods of measuring the entire deformation field such as the digital image correlation (DIC) method. The accuracy of the numerical simulation of carbon-aramid composite structures depends on the accuracy of the elastic constants. Therefore, the goal of this research is to model and simulate the mechanical behaviour of the composite based on epoxy resin reinforced with carbon-aramid woven fabric by considering the mechanical properties investigated by tensile test combined with DIC and the bending test. The curves of the transverse strains related to the longitudinal strains were investigated using DIC in order to determine the Poisson’s ratios in the case of tensile tests applied in warp or weft directions of the reinforcement fabric. The impact strength determined by Charpy tests is also reported. The other main objective is to use the analytical models to compute the tensile and flexural moduli of elasticity for the fictitious orthotropic materials which behave similarly to the carbon-aramid composite investigated. The simulations regarding the behaviour of the carbon-aramid composite in tensile and bending tests were validated by the experimental results, since the maximum errors recorded between experimental and theoretical results were 0.19% and 0.15% for the equivalent tensile modulus and for the equivalent flexural modulus, respectively.

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“…It also allows measuring nonuniform deformation and 3D effects. However, DIC is rarely used for natural fiber reinforced polymer composites (Xu et al 2019;Ramakrishnan et al 2020) and, to the best of our knowledge, was never considered for the evaluation of the tensile properties of all-cellulose composites.…”

Section: Introductionmentioning

confidence: 99%

Exploring digital image correlation technique for the analysis of the tensile properties of all-cellulose composites

et al. 2021

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All-cellulose composites (ACCs) were prepared from filter paper via partial dissolution in the ionic liquid 1-ethyl-3-methylimidazolium acetate, and material tensile properties were investigated using various approaches. One is based on data directly taken from a tensile testing machine, and the other uses two-cameras stereovision with digital image correlation (DIC) technique. In the latter case, virtual extensometer with different locations on the sample and averaging over sample surface were tested. Nominal and true stress–strain dependences were built and Young's modulus, tensile strength, elongation at maximal stress and toughness were evaluated as a function of ACC density. A minor difference was observed for the stress–strain dependences derived from different approaches which use the DIC technique, most probably because of low ACC deformation. However, the results reveal that the nominal stress–strain curve from DIC is significantly different from that which is directly derived from the data provided by machine sensors thus strongly impacting Young’s modulus and elongation at break values. This study provides an insight into the evaluation of the mechanical properties of ACCs. Graphic abstract

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Analysis of the hybrid composite materials reinforced with natural fibers considering digital image correlation (DIC) measurements

Cited by 38 publications

References 19 publications

Design and multi‐objective optimization of the bumper beams prepared in long glass fiber‐reinforced polypropylene

Design and multi‐objective optimization of the bumper beams prepared in long glass fiber‐reinforced polypropylene

Simulation of the Hybrid Carbon-Aramid Composite Materials Based on Mechanical Characterization by Digital Image Correlation Method

Exploring digital image correlation technique for the analysis of the tensile properties of all-cellulose composites

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