This study is based on energy harvesting from vibration and deals with the comparison of different techniques. In the present scenario, energy harvesting has drawn the attention of researchers due to a rapid increase in the use of wireless and small-scale devices. So, there is a huge thirst among scientists to develop permanent portable power sources. In the surroundings, a lot of unutilized energy is wasted which can be collected and used for power generation. Research works have been extensively carried out to develop energy harvesting devices catering to the increasing needs of being efficient and economical. Effective energy harvesting mainly depends on the design of the transducer. Different types of design techniques, material properties, and availability of energy harvesters are reviewed in this paper. The paper aims to explore the advantages and limitations of different energy harvesting principles, advances, and findings of the recent past. This study also discusses some of the key ideas for the enhancement of power output. This paper provides a broad view of the energy harvesting system to the learners, which will facilitate them to design more efficient energy harvesting devices by using different principles.

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The present work deals with the study of vibration and stability analysis of a functionally graded spinning shaft system using three-noded beam element based on the Timoshenko beam theory. Material properties are assumed to be graded in radial direction according to power law gradation. In the present analysis, the mixture of aluminum oxide (Al2O3) and stainless steel (SUS304) has been considered as functionally graded material where metal (SUS304) content decreases towards the outer diameter of the shaft. The functionally graded shafts has been modeled as a Timoshenko beam, which contains discrete isotropic rigid disks supported by flexible bearing. The functionally graded shaft has been modeled based on first-order shear deformation beam theory with transverse shear deformation, rotary inertia, gyroscopic effect, strain and kinetic energy of shafts by adopting three-dimensional constitutive relations. The derivation of governing equations of motion has been obtained using Hamilton’s principle. Three-noded beam element with four degrees of freedom per node has been used to solve the govering equations. In this work, the effects of both internal viscous and hysteretic damping have also been incorporated in the finite element model. Various results have been obtained such as Campbell diagram, stability speed limit, damping ratio, and time responses for functionally graded shaft and also compared with conventional steel shaft. It has been found that the responses of the functionally graded spinning shaft are significantly influenced by material properties, radial thickness, power law gradient index, and internal (viscous and hysteretic) damping. The obtained results also show the advantages of functionally graded shaft over conventional steel shaft.

In the present paper an improved genetic algorithm (GA) based linear quadratic regulator (LQR) control scheme has been proposed for active vibration control of smart fiber reinforced polymer (FRP) composite shell structures under combined mechanical and thermal loading. A layered shell finite element formulation has been done to obtain the electro-thermo-mechanical response of fiber reinforced polymer (FRP) composite shell structures bonded with piezoelectric patches. Based on the responses obtained from finite element analysis, a real coded GA based improved LQR control scheme has been incorporated, which maximizes the closed loop damping while keeping the actuator voltages within limit. It has been observed that the developed FE code can be used for determination of the accurate response of smart FRP shell structures for the simulation of active vibration control of such structures. The proposed GA based LQR control scheme could control both dynamic oscillation due to mechanical load as well as the static displacement due to a thermal gradient, which was not possible with conventional LQR control scheme.