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전기적 임피던스 측정을 이용한 탄소나노튜브 복합소재 센서
강인필(Inpil Kang),정관영(Kwan Young Jung),박형기(Hyungki Park),허훈(Hoon Huh),최경락(Gyeong Rak Choi) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.11
To address the need for new intelligent sensing, this paper introduces nano sensors made of carbon nanotube (CNT) composites and presents their preliminary experiments. Having smart material properties such as piezoresistivity, chemical and bio selectivity, the nano composite can be used as smart electrodes of the nano sensors. The nano composite sensor can detect structural deterioration, chemical contamination and bio signal by means of its impedance measurement (resistance and capacitance). For a structural application, the change of impedance shows specific patterns depends on the structural deterioration and this characteristic is available for an in-situ multifunctional sensor, which can simultaneously detect multi symptoms of the structure. This study is anticipated to develop a new nano sensor detecting multiple symptoms in structural, chemical and bio applications with simple electric circuits.
탄소나노튜브 스마트 복합소재를 이용한 인공뉴런 개발 연구
강인필(Inpil Kang),백운경(Woonkyung Baek),최경락(Gyeong Rak Choi),정주영(Joo Young Jung) 대한기계학회 2007 대한기계학회 춘추학술대회 Vol.2007 No.5
This paper introduces an artificial neuron which is a nano composite continuous sensor. The continuous nano sensor is fabricated as a thin and narrow polymer film sensor that is made of carbon nanotubes composites with a PMMA or a silicone matrix. The sensor can be embedded onto a structure like a neuron in a human body and it can detect deteriorations of the structure. The electrochemical impedance and dynamic strain response of the neuron change due to deterioration of the structure where the sensor is located. A network of the long nano sensor can form a structural neural system to provide large area coverage and an assurance of the operational health of a structure without the need for actuators and complex wave propagation analyses that are used with other methods. The artificial neuron is expected to effectively detect damage in large complex structures including composite helicopter blades and composite aircraft and vehicles.
탄소나노튜브 복합소재 전왜 특성과 3D 프린팅을 활용한 로드셀 개발 연구
강인필(Inpil Kang),정관영(Kwan Young Joung),최백규(Beak Gyu Choi),김성용(Sung Yong Kim),오광원(Gwang Won Oh),김병탁(Byung Tak Kim),백운경(Woon Kyung Baek) 유공압건설기계학회 2020 드라이브·컨트롤 Vol.17 No.4
This paper presents the basic research for the design and fabrication of a 3D-printed load cell made of NCPC (nano-carbon piezo-resistive composite). We designed a structure that can resonate at a low frequency range of about 5–6 Hz with ANSYS using sensitivity analysis and a response surface method. The design was verified by fabricating the device with a low-quality commercial 3D printer and ABS filament. We conducted a feasibility test for a commercial sensor using 1000 cyclic load tests at 0.3 Hz in a material testing system. A manufacturing process for the 3D printer filament based on the NCPC was also developed using the nano-composite process.
4차 산업혁명의 측정소자 개발을 위한 나노 탄소 스트레인 센서 제작과 그 응용
강인필(Inpil Kang),김광희(Kwang-Heui Kim) 대한기계학회 2018 大韓機械學會論文集A Vol.42 No.2
본 논문에서는 4차 산업혁명의 핵심인 측정소자 개발을 위한 나노 탄소 스트레인 센서(Nano-Carbon Strain Sensor, NCSS)의 제작 및 특성과 그 응용을 기술하였다. NCSS는 나노 탄소 소재를 기반으로 하는 전왜성 복합소재(Nano Carbon Piezoresistive Composite, NCPC)로 제작된다. 따라서 NCSS는 인쇄전자 방식이나 3D 프린팅 적층가공 기술을 활용하여 제작될 수 있을 뿐만 아니라 혼합 소재의 선택에 따라 유연성을 부여할 수도 있다. 이로 인하여 다양한 재질과 형상의 구조형 센서들이 자유롭게 설계되고 경제적으로 제작 할 수 있으리라 기대된다. In this paper, we describe the fabrication and characteristics of Nano-Carbon Strain Sensor (NCSS) for the development of sensing device, which is the key technology of the fourth industrial revolution. NCSS is made of Nano-Carbon Piezoresistive Composite (NCPC) based on carbon nanomaterials. Consequently, NCSS can be fabricated using printing electronic or 3D printing additive manufacturing technology. In addition, it can be flexible depending on the choice of mixed materials. Therefore, it is expected that structural sensors with various materials and shapes can be liberally designed and manufactured economically.
〈논문〉 구조물 건전성 감시용 생체모방형 탄소나노튜브 인공 뉴런
강인필(Inpil Kang) 대한기계학회 2008 대한기계학회 춘추학술대회 Vol.2008 No.5
This paper introduces a new continuous sensor for Structural Health Monitoring (SHM). Made of carbon nanotube smart composites, the sensor can be fabricated to a thin and flexible narrow polymer film sensor that can be easily embedded onto a structure. This long and flexible sensor can be distributed to the structure like a neuron in human body. The electrochemical impedance (resistance and capacitance) of the neuron changes due to deterioration of the structure where the neuron is located. A network of the long carbon nanotube neurons can form a structural Artificial Neural System (ANS) to provide large area coverage and an assurance of the operational health of a structure without the need for actuators and complex wave propagation analyses that are used with other SHM methods. The ANS can also reduce the cost of health monitoring by using biomimetic signal processing to minimize the number of channels of data acquisition needed to detect damage. The carbon nanotube neuron is lightweight and easily applied to the structural surface, and there is no stress concentration, no piezoelectrics, no amplifier, and no storage of high frequency waveforms. The carbon nanotube neuron is expected to find applications in detecting damage and corrosion in large complex structures including composite and metallic aircraft and rotorcraft, bridges, and almost any type of structure with almost no penalty to the structure.