Seoul National University · Engineering
Professor Heonjun Yoon's research lab specializes in the design, modeling, and reliability analysis of smart electromechanical systems with a focus on vibration energy harvesting and structural health monitoring. The lab develops advanced analytical and computational models for piezoelectric energy harvesters, including energy harvesting skins and phononic crystal-based devices, to enhance energy conversion efficiency and system durability. Key research directions include multi-scale feature extraction for fault diagnosis, electromechanical coupling modeling, and reliability assessment under physical uncertainties such as material variability and manufacturing tolerances. The lab also explores innovative concepts like segmented piezoelectric defects and synthetic negative capacitors to overcome limitations in bandgap tuning and energy harvesting performance.
Figures are computed from collected data and may differ slightly.
Abstract Multi-scale convolutional neural network structures consisting of parallel convolution paths with different kernel sizes have been developed to extract features from multiple temporal scales and applied for fault diagnosis of rotating machines. However, when the extracted features are used to the same extent regardless of the temporal scale inside the network, good diagnostic performance may not be guaranteed due to the influence of the features of certain temporal scale less related to
Vibration energy, which is widely available, can be converted into electric energy using a piezoelectric energy harvester that generates alternating current in response to applied mechanical strain. For the last decade, there has been a strong surge of interest in developing an electromechanically-coupled analytical model of a piezoelectric energy harvester. Such a model is of great importance to enable understanding of the first principle of the piezoelectric transduction and to quantify harves
Abstract The most important duty of a piezoelectric vibration energy harvesting (PVEH) device is to reliably generate electric power as an output for sustainable operation of wireless sensor nodes, without experiencing mechanical failure. However, physical uncertainty, such as inherent variability in material properties and manufacturing tolerances, makes it difficult to guarantee satisfactory performance of the required functions of a PVEH device. Reliability analysis has been widely recognized
As a compact and durable design concept, energy harvesting skin (EH skin), which consists of piezoelectric patches directly attached onto the surface of a vibrating structure as one embodiment, has been recently proposed. This study aims at developing an electromechanically-coupled analytical model of the EH skin so as to understand its electromechanical behavior and get physical insights about important design considerations. Based on the Kirchhoff plate theory, the Hamilton’s principle is used
Abstract Phononic crystals (PnCs) can inhibit the propagation of elastic waves within specific frequency ranges, known as band gaps. They can also introduce localized defect bands that enable functionalities such as filtering, sensing, and energy harvesting. However, conventional approaches that use piezoelectric defects combined with external circuits have limitations. While odd-symmetric defect bands can be tuned with synthetic negative capacitors, even-symmetric defect bands remain insensitiv
Open papers in the app to read, cite, and organize with AI.
