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노면형상 재현 알고리즘을 탑재한 로드 시뮬레이터의 개발
최경락(Gyeong-Rak Choi),황성호(Sung-Ho Hwang),민병호(Byoung-Ho Min),허승진(Seung-Jin Heo),전승배(Seung-Bae Jeon) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The road simulators have become common tools within the automotive industry fo<br/> evaluation of vehicle and vehicle system durability performance. These simulators need appropriate input signal generation algorithms to realize the actual driving conditions due to non-linear vehicle and test rig behaviour. Although somewhat unconventional from a control standpoint, the iteration approach has proven to be a very effective method for control of complex, multiple degree-of-freedom systems where the tracking parameter is known a priori.<br/> In this paper, the road profile replication algorithm is verified by applying Belgian road to the developed road simulator. The simulation and experimental results are included to evaluate the performance of this simulator. This road simulator provides considerable savings in cost, development time, and testing risk during developing automotive components.<br/>
강인필(Kang, In-Pil),최경락(Choi, Gyeong-Rak),최연선(Choi, Yeon-Sun),이종원(Lee, Jong-Won) 한국소음진동공학회 2006 한국소음진동공학회 논문집 Vol.16 No.7
To address the need for new intelligent sensing of systems, this study presents a novel strain sensor based on piezoresistivity of carbon nanotube (CNT) and its nanocomposites. Fabrication and characterization of the carbon nanocomposite material are discussed and an electrical model of the CNT strain sensor was derived based on electrochemical impedance spectroscopy analysis and strain testing. The dynamic response of the sensor on a vibrating beam was simulated using numerical analysis and it was compared with experimental test. The simulation showed good agreement with the strain response of the actual sensor.
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.
도로포장 구조체의 물성 추정을 위한 FWD의 설계 및 제작
황성호(Sung-Ho Hwang),손웅희(Woong-Hee Shon),최경락(Gyeong-Rak Choi) 한국자동차공학회 2002 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2002 No.5_2
Many structural evaluation procedures of road and airfield pavements use the Falling Weight Deflectometer (FWD) as a critical element of non-destructive deflection testing. FWD is a trailer mounted device that provides accurate data on pavement response to dynamic wheel loads. A dynamic load is generated by dropping a mass from a variable height onto a loading plate. The magnitude of the load and the pavement deflection are measured by a load cell and geophones. And database concerning pavement damage should be enhanced to analyze loss of thickness asphalt layer caused from the plastic deformation of pavement structure, such as cracking or rutting.<br/> The prototype FWD is developed, which consists of chassis system, hydraulic loading system, data acquisition and analysis system. This system subsequently merged to form automation management system and is then validated and updated to produce a working FWD which can actually be used in the field.<br/>