Boron nitride/epoxy resin nanocomposites: development, characterization and functionality

Konstantinou, Antigoni; Patsidis, Anastasios C.; Psarras, G. C.

doi:10.1007/s10973-020-09933-z

Cited by 17 publications

(9 citation statements)

References 33 publications

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“…Nano boron nitride powders exhibit two characteristic vibration modes, approximately 1390 cm −1 and 800 cm −1 are included in the in-plane axial B-N-B and out-of-plane B-N vibration, respectively and these peaks are not sharp and flat in form. 17 Therefore, no new band formation has been observed due to the overlap of the bands corresponding to boron nitride with the bands of functional groups in epoxy resin. The peaks formed in the range of 3400-3200 cm −1 are characteristic peaks formed between molecules of hydrogen bonds (O-H).…”

Section: Resultsmentioning

confidence: 98%

Mechanical Properties of Carbon/Basalt Fabric Hybrid Composites Doped with Hexagonal Boron Nitride Nanopowders

Gumus¹,

Yapıcı²

2020

ECS J. Solid State Sci. Technol.

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The effect of various amounts (1, 2, and 4 wt%) of hexagonal nano boron nitride on the mechanical properties of carbon/basalt fabric reinforced epoxy hybrid composite laminates has been investigated through experimental methods. The hybrid composites were fabricated using hand lay-up and vacuum infusion techniques. The produced hybrid nanocomposites were characterized by SEM-EDS Mapping, XRD, and FT-IR analyses. In order to find the strength of the composites under the influence of uniaxial tensile, tensile experiments were conducted in ASTM D3039 standard, bending experiments in ASTM 7264, and impact experiments in ASTM D256 standard. The fracture morphologies were investigated after the tensile test using a stereomicroscope. The results of this study showed that the mechanical properties of hybrid composites were substantially improved by the addition of h-nBNs fillers at 1 wt% because of the high adhesion strength in the interphase between h-nBNs epoxy-fiber interactions.

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Section: Resultsmentioning

confidence: 98%

Mechanical Properties of Carbon/Basalt Fabric Hybrid Composites Doped with Hexagonal Boron Nitride Nanopowders

Gumus¹,

Yapıcı²

2020

ECS J. Solid State Sci. Technol.

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“…The peaks, in h-BN doped composites detected at higher frequencies, is proof that h-BN creates as a catalyst effect improves atom contact and the cross-linking reaction. Two distinctive vibration modes, the in-plane axial B-N-B vibration and the out-of-plane B-N vibration at approximately 1,390 cm −1 and 800 cm −1 , respectively, are exhibited by BN nanopowder (Konstantinou et al , 2020). No new band formation was observed because the bands corresponding to boron nitride overlap in epoxy resin with the bands of functional groups.…”

Section: Resultsmentioning

confidence: 99%

The effect of hexagonal boron nitride nanopowders addition on the mechanical behaviors of basalt fabric reinforced composites

Bakal Gumus,

Yapici

2023

AEAT

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Purpose The purpose of this paper is to investigate the effect of doping element on the structural, thermal properties, mechanical performance and the failure mechanism of hexagonal nano boron nitride (h-BN)-reinforced basalt fabric (BF)/epoxy composites produced by hand lay-up and vacuum bagging technique. h-BN particles doped to composite materials increased the tensile, bending and impact strength of the composite at certain rates while 1 Wt. % h- BN addition shows the highest tensile and flexural strength. Design/methodology/approach The epoxy resin was doped with h-BN nanopowder at the certain rates (0, 1, 2 and 4 Wt.%) and the epoxy: hardener ratios used in the study were selected as 80%: 20% by weight. Then, with the aid of a roller by hand lay-up method, a mixture of epoxy + hardeners containing nanoparticles and nanoparticle-free were fed onto BFs, 12 layers of each dimension 30 cm × 30 cm. The surplus epoxy resin was moved away from the composite sheets using the vacuum bagging process and left to cure at room temperature for 24 h. ASTM D3039 for tensile, D7264 for three-point bending and D256 for Izod impact test were performed for the mechanical tests. After the tensile test, the morphologies of the fracture surface were examined with a stereomicroscope and various failure mechanisms are highlighted. Findings In this study, a series of basalt/epoxy composites with h-BN nanopowders have been prepared to identify the effect of filler ratio on mechanical properties. It has been known from the results of mechanical experiments that the addition of h-BN improves the mechanical performance of materials at a certain rate. The tensile and flexural strengths of h-BN doped composites, increase for concentrations of 1 Wt.% h-BN, but decrease with the increasing content of it. The basalt/epoxy resin composite with higher mechanical properties could be a potential material in the automotive and aerospace industries. Originality/value The aim of this study is to contribute to literature within the context of this new combination of composites and their mechanical properties, failure mechanisms. It presents detailed characterization of each composite by using X-ray differaction (XRD), differential scanning calorimetry (DSC), fourier transform infrared spectroscopy (FT-IR) and scanning electron microscopy.

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“…The filler content appears to influence the storage modulus, with lower filler content resulting in a decreased storage modulus. 25 Yosephine Andriani et al examined the thermomechanical effects of non-covalently modified BN in BADGE. N,N-diglycidyl-4-glycidyloxyaniline was the surface modifier and the characteristics exhibited by the modified system outclassed the unmodified BN epoxy system in every modest loading.…”

Section: Introductionmentioning

confidence: 99%

“…The elevated permittivity of boron nitride, electrical heterogeneity in nanocomposites, and enhanced molecular motion at lower filler concentrations contribute to the substantial increase in dielectric permittivity. The filler content appears to influence the storage modulus, with lower filler content resulting in a decreased storage modulus 25 . Yosephine Andriani et al examined the thermomechanical effects of non‐covalently modified BN in BADGE.…”

Section: Introductionmentioning

confidence: 99%

Investigation on enhancement of filler dispersion and prediction of mechanical behavior of hexagonal boron nitride/epoxy nanocomposites through machine learning and deep learning models

Varughese,

M. S.

2024

Polymer Composites

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Two‐dimensional hexagonal boron nitride (hBN) based nanocomposites exhibit excellent mechanical and thermal properties for various electronics, automotive, and aerospace applications. The present work gives a novel approach to fabricating hexagonal boron nitride/epoxy nanocomposites using isopropanol and dimethyl ketone as dispersants in two different routes and to predict mechanical characteristics employing deep learning and machine learning models. Nanocomposites were fabricated by employing casting techniques with varying concentrations of hBN, spanning from 0.25 to 1 wt%, utilizing dispersing solvents. The nanocomposites were analyzed for mechanical behavior, highlighting a notable improvement in the mechanical properties at 0.5 wt% isopropanol dispersed hBN. It showcased 61% improvement in tensile strength, 38.41% increase in flexural strength, and 35.80% increase in flexural modulus respectively as compared to the pristine epoxy. The Halpin Tsai analytical model showed agreement with the elastic modulus calculated experimentally. The fractured SEM micrograph supported the improved dispersion of the hBN nanocomposite. Thermal stability of 0.5 wt% isopropanol dispersed hBN/epoxy nanocomposite revealed an improvement by 8°C at 50% degradation as compared to the pristine epoxy. Linear regression, random forest regression, support vector regression, and deep neural network (DNN) were employed to predict values. DNN proved better results by showcasing low prediction loss and high R2 values (0.99468–0.99966).Highlights hBN/epoxy nanocomposite with isopropanol and dimethyl ketone as dispersants. 0.5% hBN loading in isopropanol exhibited improved mechanical characteristics. The Halpin Tsai model was employed for evaluating theoretical elastic modulus. Improved thermal stability and filler dispersion by optimized hBN/epoxy combination. Deep neural network showed higher R2 value and lower prediction loss.

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Boron nitride/epoxy resin nanocomposites: development, characterization and functionality

Cited by 17 publications

References 33 publications

Mechanical Properties of Carbon/Basalt Fabric Hybrid Composites Doped with Hexagonal Boron Nitride Nanopowders

Mechanical Properties of Carbon/Basalt Fabric Hybrid Composites Doped with Hexagonal Boron Nitride Nanopowders

The effect of hexagonal boron nitride nanopowders addition on the mechanical behaviors of basalt fabric reinforced composites

Investigation on enhancement of filler dispersion and prediction of mechanical behavior of hexagonal boron nitride/epoxy nanocomposites through machine learning and deep learning models

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