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Enhancement of mechanical properties in graphene-metal nanocomposites
이진섭,황재원,김정모,전석우 한국공업화학회 2016 한국공업화학회 연구논문 초록집 Vol.2016 No.0
Graphene, two dimensional layered structure of carbon atoms is interesting in ideal reinforced nanomaterial due to their excellent mechanical properties (Monolayer graphene has a Young`s modulus of 1 TPa and a tensile strength of 130 GPa) facilitating numerous potential applications. Recently, several groups reported to graphene/polymer and graphene/metal composite resulting in enhanced mechanical properties. However, the limited control mixing process and the use of low quality graphene flake without precise reinforcement mechanism make it difficult to achieve the true mechanical properties of nano-composites. In this research, we propose a new approach by molecular-level mixing process and spark plasma sintering process to avoid the major problem of dispersion and thermal damage of graphene flakes during the synthesis of graphene/metal nano-composite. It also showed improved mechanical properties with the reinforcement effect of graphene in metal matrix nanocomposites.
Multi-Mode Radar RF Front-end Design
이진섭,하재권,강호진,노창균,김영진,조춘식 한국과학기술원 반도체설계교육센터 2021 IDEC Journal of Integrated Circuits and Systems Vol.7 No.2
In this study, we convert multiple radar modes to time division and design multi-mode radar to detect long-range and multi-targets. In particular, CMOS multi-mode radar transceiver integrated circuits for mode switching are developed to configure the hardware. Design radars that support LFM, FMCW, and CW modes to detect long range, short range, and multiple targets. The 65nm CMOS process is used, and the metal is 9-metal(1P8M_5X1Z1U). The MOS transistor uses RF and analog devices, and the supply voltage is 1.2V. The operating frequency is 23.5-24.5 GHz and the area is 3.54x3.54mm. The design software is cadence (IC615 and IC617), and the EM design software will use sonnet.
이진섭,윤정원 한국전자파학회 2019 한국전자파학회논문지 Vol.30 No.3
Ultra-wideband(UWB) is a technology that can transmit and receive signals at high speeds using a very short signal of wideband of several GHz, and has been recently used in the field of radar technology. Impulse radio(IR)-UWB radar is used in the field of motion recognition with high resolution. In this work, we studied motion recognition using IR-UWB radar. We constructed a development environment to acquire data about motion and implemented a signal processing algorithm for performance enhancement. Based on the signal processing result, the performance was verified through feature extraction and learning of motion.