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Viscoelastic analytical model and design of polymer-based bimodal piezoelectric motor
- Source :
- Mechanical Systems and Signal Processing. 145:106960
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Polymers have attracted enormous attention due to their characteristics of low density and high energy density for potential applications in low weight piezoelectric motors. However, the viscosity of polymers presents a challenge to match two resonance frequencies of the longitudinal and bending modes of the bimodal piezoelectric motor. In this paper, polyphenylene sulfide (PPS)-based bimodal piezoelectric motor is researched. Concerning the viscoelasticity of PPS, the electromechanical coupling analytical model is established to describe the dynamics of the PPS-based motor by using the Kelvin-Voigt viscoelastic model. Based on the proposed model, the Taguchi method is adopted to match the resonance frequencies of the longitudinal and bending vibration. A PPS-based prototype motor is fabricated with optimized parameters. The frequency response characteristics, displacement response and electromechanical coupling coefficients are computed and compared to the finite element method and experimental results to validate the effectiveness of the model. The comparisons show that the proposed model is valid. The performance test demonstrates that the PPS-based motor can yield the maximal torque of 2 mNm with the stator weight of 5.4 g. Compared with the same volume of phosphor bronze material, 75% of weight reduction can be achieved.
- Subjects :
- 0209 industrial biotechnology
Frequency response
Materials science
Stator
Mechanical Engineering
Aerospace Engineering
02 engineering and technology
Bending
01 natural sciences
Piezoelectricity
Finite element method
Viscoelasticity
Computer Science Applications
law.invention
Taguchi methods
020901 industrial engineering & automation
Control and Systems Engineering
Piezoelectric motor
law
0103 physical sciences
Signal Processing
Composite material
010301 acoustics
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 08883270
- Volume :
- 145
- Database :
- OpenAIRE
- Journal :
- Mechanical Systems and Signal Processing
- Accession number :
- edsair.doi...........fd3bea4f312009d9fedb1ccbe4235c0c