Exploration and Application of Piezoelectric Smart Structures

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A:Physics".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 230

Special Issue Editor

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Interests: Stewart platform; Vibration isolation; Negative stiffness; Active control; Feedback control; Feedforward control; Sky-hook damping; Piezoelectric actuator (PZT); Voice coil motor (VCM); Adaptive control algorithm; Least mean square (LMS) algorithm; Recursive least squares (RLS) algorithm; Integral force feedback (IFF) algorithm
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Special Issue Information

Dear Colleagues,

Piezoelectric smart structures represent a significant technological advancement in the field of smart materials, offering a versatile solution for various applications in sensors, actuators, energy harvesting, vibration control, and more. With the continuous evolution of technology and the growing demands of industrial sectors for enhanced precision and efficiency, the research and application of piezoelectric smart structures have garnered increased attention due to characteristics such as millisecond response speed, nanoscale accuracy, the absence of electromagnetic interference, and no generation of a magnetic field. These piezoelectric smart structures utilize advanced materials, innovative design principles, and complex control algorithms to optimize their capabilities in minimizing mechanical vibrations and enhancing operational performance. They are widely applied in precision machining equipment, optical instruments, aerospace engineering, biomedical engineering, and other pertinent domains, playing a crucial role in improving equipment stability and operational precision. This Special Issue aims to showcase research papers that focus on the cutting-edge developments in piezoelectric smart structures and their applications, including advanced materials, novel structure, design theoretical framework, control methods, and integration techniques.

Dr. Min Wang
Guest Editor

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Keywords

  • piezoelectric smart structure
  • piezoelectric material
  • sensor
  • actuator
  • energy harvesting
  • vibration control

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Published Papers (1 paper)

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Research

16 pages, 3836 KiB  
Article
Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring
by Kaixuan Wang, Hao Long, Di Song and Hasan Shariar
Micromachines 2025, 16(6), 602; https://doi.org/10.3390/mi16060602 - 22 May 2025
Viewed by 24
Abstract
For complex mechanical transmission equipment, shaft bearings are usually enclosed together with the shaft in the internal space of the housing to maintain good sealing and reliability. However, it is difficult to monitor the status of the shaft bearing through external sensors on [...] Read more.
For complex mechanical transmission equipment, shaft bearings are usually enclosed together with the shaft in the internal space of the housing to maintain good sealing and reliability. However, it is difficult to monitor the status of the shaft bearing through external sensors on the housing, while internal sensors face challenges in energy supply and data transmission. Therefore, a piezoelectric transducer ring-based energy harvesting microelectromechanical system (PTR-EH-MEMS) is proposed for the condition monitoring of shaft bearings. Specifically, the piezoelectric transducer ring is designed to convert mechanical vibrations into electrical energy, which simultaneously acts as a self-powered monitoring sensor through energy harvesting. In addition, the MEMS is embedded for piezoelectric data processing and condition monitoring of the shaft bearings. To verify the proposed PTR-EH-MEMS, an experimental investigation is implemented under different conditions. The experimental results demonstrate that the system can achieve the maximum DC output of 0.8 V and the root mean square power of 43.979 μW within 128 s, which can effectively identify early-stage bearing faults frequency through a self-powered mode. By combining energy harvesting with condition monitoring capability, the PTR-EH-MEMS offers a compact and sustainable approach for predictive maintenance in rotating machinery, reducing the reliance on external power sources and enhancing the reliability of industrial systems. Full article
(This article belongs to the Special Issue Exploration and Application of Piezoelectric Smart Structures)
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