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RISS 인기검색어
- 검색키워드
- 저자 : A. Kumaravel (검색결과 4 건)
- 무료
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Comparative structural analysis of lattice hybrid and tubular wind turbine towers
R. Kumaravel,A. Krishnamoorthy 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.30 No.1
This paper presents a comparative structural analysis of lattice hybrid tower with six legs with conventional tubular steel tower for an onshore wind turbine using finite element method. Usually a lattice hybrid tower will have a conventional industry standard \'L\' profile section for the lattice construction with four legs. In this work, the researcher attempted to identify and analyze the strength of six legged lattice hybrid tower designed with a special profile instead of four legged L profile. And to compare the structural benefits of special star profile with the conventional tubular tower. Using Ansys, a commercial FEM software, both static and dynamic structural analyses were performed. A simplified finite element model that represents the wind turbine tower was created using Shell elements. An ultimate load condition was applied to check the stress level of the tower in the static analysis. For the dynamic analysis, the frequency extraction was performed in order to obtain the natural frequencies of the tower.
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Finite Element Modeling of Beam with Piezoelectric/Piezomagnetic Sensors under Uniform Temperature
Dhanasekaran Rajagopal,A. Kumaravel,S. Arunprasath,M. Dinesh Babu,S. Elayaraja 한양대학교 청정에너지연구소 2024 Journal of Ceramic Processing Research Vol.25 No.1
The present study aims to investigate the behaviour of mild steel beams subjected to multi-phase magnetoelectroelastic,piezoelectric, or magnetostrictive patches, taking into account the effects of temperature. A finite element method wasemployed to analyze the electric and magnetic potential of the structure while considering the coupling effects. The findingsof this study could provide valuable insights into the behaviour of such structures under varying temperature conditions andcontribute to the development of advanced technologies in the field of material science and engineering. Under homogeneoustemperature load, the current formulation shows the ability to anticipate the thermal deformation and sensor behaviour of thepiezoelectric/ piezo magnetic, magnetostrictive patches. A distinct variation characterizes the positioning of the sensor layer inthe beam, and the upper surface of the layer is plotted with transverse displacement, electric potential, and magnetic potentialalong its length. A comparative numerical analysis was conducted to assess the behaviour of multiphase magneto-electroelastic,magnetostrictive, and piezoelectric sensor materials concerning magnetic and electric potential. The investigation hasbeen conducted under various boundary conditions.
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N. Rajasekaran,C. Muniraj,T. Venkatesan,A. Kumaravel 한양대학교 청정에너지연구소 2024 Journal of Ceramic Processing Research Vol.25 No.1
Nanocomposites (LDPE + BaTiO3 ceramic) with different volume ratio of 0%, 1%, 3% and 5% were prepared by melt mixingmethod. Scanning Electron microscopy (SEM) results for nanocomposites materials shows that the nanofiller particle disperseduniformly throughout the entire surface and there is no agglomeration of nanoparticles. BaTiO3 ceramic nanoparticle structureand crystallite size were investigated using X-ray diffraction (XRD) studies. Using energy-dispersive X-ray spectroscopy (EDS),the chemical composition of the composite material has been determined. EDS can have determined the types of elementspresent in the sample and their relative concentrations. To assess the behavior of nanocomposites, experimental test wasconducted to predict the electrical parameters such as dielectric breakdown strength, DC volume resistivity, dielectric constantand Dissipation factor. The dielectric strength was estimated using a feed forward neural network (FFNN) and ArtificialNeural Network and Fuzzy Inference system (ANFIS) technique under various conditions and filler percentages. From the testresults, it was observed that nanocomposites with 3% wt has the highest dielectric strength. In Weibull analysis, feed forwardneural network (FFNN) and Artificial Neural Network and Fuzzy Inference system (ANFIS) predicted that with the inclusionof nanofiller, the electrical breakdown strength of nanocomposite materials was increased. The results show that, dielectricpermittivity and dissipation factor (tan delta) of the nanocomposites materials decreased and increased correspondingly withincrease in frequency. Further increase in mixing proportion of nanocomposites, it was found that the inter particle distanceis decreased due to that the mobility of charge carrier is increased and the material loses its dielectric property. From theexperimental test results, it was found that LDPE/BaTiO3 ceramic filler nanocomposites materials with 3% wt have betterelectrical properties compared to neat LDPE.
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