A review of effect of higher-order nonlinear theories on analysis of piezoelectric laminates

Akhlaq, Adnan; Dawood, Mohd. Sultan Ibrahim Shaik; Ali, Jaffar Syed Mohamed; Sulaeman, Erwin

doi:10.1088/1757-899x/1244/1/012004

Cited by 1 publication

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References 93 publications

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“…Piezoelectric actuators have capability to provide the accuracy and precision in sub-nanometer. Various linear and nonlinear constitutive equations and deformation models based analytical and approximate solutions are developed to simulate the actual behavior of piezoelectric materials [1][2][3][4][5][6][7]. These analytical and approximate solutions are used with various sophisticated techniques to design and optimize piezoactuated structures and devices to improve the performance and achieve more accuracy and precision.…”

Section: Introductionmentioning

confidence: 99%

Iterative piezo response function-based optimization for static shape control of cantilever beam using nonlinear piezoactuators

Sumit¹,

Kane²,

Sinha³

et al. 2022

Smart Mater. Struct.

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Shape control of complex structures by optimizing the electrode potential is not achievable directly by analytical solutions and piezo response function base-optimization techniques due to the nonlinear response of piezoactuators. In the present work, a metaheuristic iterative piezo response function (iPRF)-based optimization technique is developed to achieve the arbitrary shape of piezoelectric unimorph using nonlinear piezoactuators. In this regard, a piezoelectric unimorph (PU) is fabricated using APC 850 piezoactuator to verify the nonlinear response in bending mode and nonlinear analytical model of PU. After verification, length of the inactive layer and number of piezoactuators in PU are modified to study the shape control. iPRF-based technique is used for the optimization of electric potential to achieve the target shape of modified piezoelectric unimorph (MPU) with varying piezoactuators. The results of iPRF-based technique are compared with the results of simulated annealing-based direct optimization technique. Unlike simulated annealing-based direct optimization technique, prior knowledge of nonlinear coefficients of piezoactuator is not required in iPRF-based technique. Optimum values obtained from both the direct nonlinear solution- and iPRF-based optimization methods are same for all MPUs. Furthermore, the number of iterations of iPRF-based optimization approach is not affected by the number of piezoactuators used to achieve the desired shape.

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