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Subrata Kumar Panda

Researcher at National Institute of Technology, Rourkela

Publications -  256
Citations -  4394

Subrata Kumar Panda is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: Finite element method & Nonlinear system. The author has an hindex of 30, co-authored 209 publications receiving 3026 citations. Previous affiliations of Subrata Kumar Panda include KIIT University & Indian Institute of Technology Kharagpur.

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Nonlinear free vibration analysis of single/doubly curved composite shallow shell panels

TL;DR: In this paper, a nonlinear mathematical model is derived using Green Lagrange type geometric nonlinearity in the framework of higher order shear deformation theory, all the nonlinear higher order terms are included in the mathematical model to achieve more general case.
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Vibration analysis of functionally graded carbon nanotube reinforced composite plate in thermal environment

TL;DR: In this article, the free vibration behavior of functionally graded carbon nanotube reinforced composite plate is investigated under elevated thermal environment, where the carbon-nubic reinforced composite material is used to construct the plate.
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Geometrical nonlinear free vibration analysis of FG-CNT reinforced composite flat panel under uniform thermal field

TL;DR: In this article, the nonlinear free vibration behavior of functionally graded carbon nanotube reinforced composite flat panel is investigated using temperature dependent material properties for different grading using the higher-order shear deformation theory and Green-Lagrange nonlinearity.
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Thermoelastic nonlinear frequency analysis of CNT reinforced functionally graded sandwich structure

TL;DR: In this paper, the nonlinear eigen frequency response of the functionally graded single-walled carbon nanotube reinforced sandwich structure is investigated numerically considering the Green-Lagrange nonlinear strain under uniform thermal environment.
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Multi-objective parametric optimization of powder mixed electro-discharge machining using response surface methodology and non-dominated sorting genetic algorithm

TL;DR: In this article, the effect of independent variables on the machining performance was analyzed in terms of material removal rate (MRR) and surface roughness (SR) on a powder mixed electro-discharge machining (EDM) process.