Heonjun Yoon
서울대학교 기계공학부 · 공학
이 교수의 연구실은 진동 기반 에너지 수확 기술과 관련된 다학제적 연구를 중심으로 전개하고 있습니다. 주로 피에조전기 소자를 활용한 에너지 수확 장치, 특히 에너지 수확 스킨 및 피에조전기 복합 구조물의 설계 및 해석에 중점을 두며, 전자기기와 기계적 구조의 상호작용을 고려한 분석 모델 개발을 진행하고 있습니다. 또한, 고장 진단을 위한 다중 척도 신경망 기반 진단 기술과 신뢰성 분석을 통해 실용적이고 내구성 있는 에너지 수확 시스템의 설계를 목표로 하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
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
