Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method

Mohamed A. Fanni; Abdelfatah M. Mohamed; Shigeo Yoshida; Mohamed, Diaa;

Abstract


The large number of interdigitated electrodes (IDEs) in a macro fiber composite (MFC) piezoelectric actuator dictates using a very fine finite element (FE) mesh that requires extremely large computational costs, especially with a large number of actuators. The situation becomes infeasible if repeated finite element simulations are required, as in control tasks. In this paper, an efficient technique is proposed for modeling MFC using a finite element method. The proposed technique replaces the MFC actuator with an equivalent simple monolithic piezoceramic actuator using two electrodes only, which dramatically reduces the computational costs. The proposed technique was proven theoretically since it generates the same electric field, strain, and displacement as the physical MFC. Then, it was validated with the detailed FE model using the actual number of IDEs, as well as with experimental tests using triaxial rosette strain gauges. The computational costs for the simplified model compared with the detailed model were dramatically reduced by about 74% for memory usage, 99% for result file size, and 98.6% for computational time. Furthermore, the experimental results successfully verified the proposed technique with good consistency. To show the effectiveness of the proposed technique, it was used to simulate a morphing wing covered almost entirely by MFCs with low computational cost.


Other data

Title Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method
Authors Mohamed A. Fanni; Abdelfatah M. Mohamed; Shigeo Yoshida; Mohamed, Diaa 
Keywords finite element analysis; macro fiber composite; morphing wing; piezoelectric actuator; smart structure
Issue Date 2021
Publisher {MDPI} {AG}
Journal ACS Applied Bio Materials 
Volume 14
Issue 15
Start page 4316
ISSN 1996-1944
DOI 10.3390/ma14154316
PubMed ID 34361514
Scopus ID 2-s2.0-85112614443

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