• Wind and Structures
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• 제21권6호
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• pp.693-707
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• 2015

The efficiency of wind turbines (WT) is primarily reflected in their ability to generate electricity at any time. Downtimes of WTs due to "conventional" inspections are cost-intensive and undesirable for investors. For this reason, there is a need for structural health monitoring (SHM) systems, to enable service and maintenance on demand and to increase the inspection intervals. In general, monitoring increases the cost effectiveness of WTs. This publication concentrates on the application of two vibration-based SHM algorithms for stability and structural change monitoring of offshore WTs. Only data driven, output-only algorithms based on stochastic subspace identification (SSI) in time domain are considered. The centerpiece of this paper deals with the rough mathematical description of the dynamic behavior of offshore WTs and with the basic presentation of stochastic subspace-based algorithms and their application to these structures. Due to the early stage of the industrial application of SHM on offshore WT on the one side and the required confidentiality to the plant manufacturer and operator on the other side, up to now it is not possible to analyze different isolated structural damages resp. changes in a systematic manner, directly by means of in-situ measurement and to make these "acknowledgements" publicly available. For this reason, the sensitivity of the methods for monitoring purposes are demonstrated through their application on long time measurements from a 1:10 large scale test rig of an offshore WT under different conditions: undamaged, different levels of loosened bolt connections between tower parts, different levels of fouling, scouring and structure inclination. The limitation and further requirements for the approaches and their applicability on real foundations are discussed along the paper.

• 대한기계학회논문집A
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• 제35권7호
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• pp.773-778
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• 2011

포신과 같은 충격하중을 받는 파이프 형태의 구조물 진동을 측정하기 위해 가속계가 널리 사용된다. 포약의 폭발로 인해 발생하는 응력파는 포신의 횡진동에 미미한 영향을 미치지만 매우 큰 가속도 성분을 가지고 있어 미세 진동의 계측을 어렵게 한다. 기계적 필터는 가속도계를 부착하는 기계적 구조물과 진동감쇠재료로 구성되어, 고주파의 응력파를 제거하고 횡진동에 관련된 가속도 성분만을 가속도계로 전달하는 역할을 한다. 진동감쇠재료는 비선형성이 강하여 수학적 모델링이나 수치적 해석에 어려움이 있다. 본 논문에서는 9 가지의 진동감쇠재료의 진동특성을 실험적으로 확인하여, 기계적 필터에 가장 적합한 재료를 선택하였다. 또한, 압착에 따른 진동특성의 변화를 통해, 기계적 필터의 설계 데이터를 얻을 수 있었다. 기계적 필터를 설계 제작하여, 필터의 성능을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• 제31권1호
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• pp.26-33
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• 2007

The intake swirl motion, as one of dominant effects for an engine combustion. is very effective for turbulence enhancement during the compression process in the cylinder of 2-valve engine. Because the combustion flame speed is determined by the turbulence that is mainly generated from the mean flow of the charge air motion in intake port system. This paper describes the experimental results of swirl flow and combustion characteristics by using the oil spot method and back-scattering Laser Doppler velocimeter (LDV) in 2-valve single cylinder transparent LPG engine using the liquid phase LPG injection. For this. various intake port configurations were developed by using the flow box system and swirl ratios for different intake port configurations were determined by impulse swirl meter in a steady flow rig test. And the effects of intake swirl ratio on combustion characteristics in an LPG engine were analyzed with some analysis parameters that is swirl ratio. mean flow coefficient, swirl mean velocity fuel conversion efficiency. combustion duration and cyclic variations of indicated mean effective pressure(IMEP). As these research results, we found that the intake port configuration with swirl ratio of 2.0 that has a reasonable lean combustion stability is very suitable to an $11{\ell}$ heavy-duty LPG engine with liquid phase fuel injection system. It also has a better mean flow coefficient of 0.34 to develope a stable flame kernel and to produce high performance. This research expects to clarify major factor that effects on the design of intake port efficiently with the optimized swirl ratio for the heavy duty LPG engine.

• 한국지진공학회논문집
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• 제7권3호
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• pp.17-22
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• 2003

본 연구에서는 나노기술을 이용하여 에너지 감쇠 기능을 활용한 감쇠기 개발에 대한 연구를 하였다. 유체 감쇠기를 대체하는 완충역할을 하는 미로구조를 가지는 실리카 겔 입자를 사용하였으며, 입자에 관련한 작동 유체로는 물을 사용하여 그 효과를 검증하였다. 콜로이드 감쇠기를 구현하기 인해서는 형성된 실리카 겔 입자의 표면을 유기 실리콘 매질을 이용한 소수화 코팅 처리를 하였다. 정적 하중 상태에서의 가역적 콜로이드 감쇠기에 대한 실험을 수행하였다. 콜로이드 감쇠기내 다공질 입자의 나노 유로(pore)와 다공성 입자의 직경, 다공성 입자의 구조, 그리고 대기압 상태에서 유체의 출입을 통제하기 위한 코팅처리의 분자 간 길이와 같이 여러 가지 요인의 콜로이드 감쇠기 이력현상에 대한 영향을 평가하였다. 감쇠기의 소산 에너지양과 효율에 대해서도 조사하여 유압 감쇠기 보다 뛰어난 결과를 얻었으며 콜로이드 감쇠기로 사용 가능하다는 사실을 입증하였다.

• Advances in aircraft and spacecraft science
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• 제6권6호
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• pp.529-550
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• 2019

The effect of multiple process parameters on a set of continuous response variables is, especially in experimental designs, difficult and intricate to determine. Due to the complexity in aeroacoustic and vibroacoustic studies, the often-performed simple one-factor-at-a-time method turns out to be the least effective approach. In contrast, the statistical Design of Experiments is a technique used with the objective to maximize the obtained information while keeping the experimental effort at a minimum. The presented work aims at giving insights on Design of Experiments applied to aeroacoustic and vibroacoustic problems while comparing different experimental designs and approximation models. For this purpose, an experimental rig of a ducted low-pressure fan is developed that allows gathering data of both, aerodynamic and aeroacoustic nature while analysing three independent process parameters. The experimental designs used to sample the design space are a Central Composite design and a Box-Behnken design, both used to model a response surface regression, and Latin Hypercube sampling to model an Artificial Neural network. The results indicate that Latin Hypercube sampling extracts information that is more diverse and, in combination with an Artificial Neural network, outperforms the quadratic response surface regressions. It is shown that the Latin Hypercube sampling, initially developed for computer-aided experiments, can also be used as an experimental design. To further increase the benefit of the presented approach, spectral information of every experimental test point is extracted and Artificial Neural networks are chosen for modelling the spectral information since they show to be the most universal approximators.

• 한국자동차공학회논문집
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• 제22권2호
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• pp.166-174
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• 2014

Fuel injection pressure has steadily increased in diesel engines for the purpose of improving fuel efficiency and cleaning exhaust gas, but it has now reached a point, where the cost for higher pressure does not warrant additional gains. Common rail systems on modern diesel engines have fuel pumps that are mechanically driven by crankshaft. The pumps actually house two pumping module inside: a low pressure pump component and a high pressure pump component. Part of the fuel compressed by the low pressure component returns to the tank in the process of maintaining the pressure in the common rail. Since the returning fuel represents pumping loss, fuel economy improves if the returned fuel can be eliminated by using a properly controled electrical fuel pump. As the first step in developing an electrical fuel pump the fuel supply system on a 6 liter diesel engine was modeled with AMESim to analyze the workload and the fuel feed rate of the injection pump, and the results served as basis for selecting a suitable servo motor and a reducer to drive the pump. A motor controller was built using a DSP and a program which controls the common rail pressure using a proportional control method based on the target fuel pressure information from the engine ECU. A test rig to evaluate performance of the fuel pump is implemented and used to show that the newly developed electrically driven fuel pump can satisfy the fuel flow demand of the engine under various operating conditions when the rotational speed of the pump is adequately controlled.

• 대한기계학회논문집B
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• 제37권6호
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• pp.551-558
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• 2013

서포트 벡터 머신(Support Vector Machine, SVM)은 학습용 데이터 집합이 확보되어 있을 경우, 매우 강력한 분류 알고리즘이다. 따라서 패턴인식은 물론 기계학습 분야에서 결함진단 도구의 하나로 이용되고 있다. 본 논문에서는 최적 특징과 SVM 을 이용하여 볼 베어링의 결함유형과 결함의 정도를 진단한 결과를 기술하였다. SVM 학습용 특징데이터에는 12 개의 시간영역 특징과 9 개의 주파수영역 특징들이 포함되어 있으며 이들 특징들은 다양한 베어링 결함조건에서 측정된 진동신호와 진동신호의 이산 웨이블렛 변환신호로부터 추출되었다.

• 한국자동차공학회논문집
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• 제17권1호
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• pp.43-49
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• 2009

A catalyzed diesel particulate filter (CDPF) causes the progressive increase in back pressure of an exhaust system due to the loading of soot particles. To minimize pressure drop which is generated by CDPF, the filter should be regenerated when it collects a certain quantity of soot. It is important to know characteristics of regeneration of CDPF with various of exhaust gas temperatures and compositions. The oxidation of HC in DOC leads to increase gas temperature of DOC downstream. The increased gas temperature by DOC has an positive effect on CDPF regeneration. This study presents characteristics of regeneration of CDPF with DOC according to various gas composition, such as HC and $O_2$ concentration. The test-rig is used to control each gas composition and temperature during regeneration of CDPF. Experimental results indicate that the increased concentration of $O_2$ regenerates DPF more actively. With increasing HC concentration, the gas temperature of CDPF upstream increased due to more oxidation of HC. But excessive supply of HC leads to decrease of $O_2$ concentration in the CDPF, which makes it hard to regenerate CDPF.

• 한국자동차공학회논문집
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• 제14권3호
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• pp.103-111
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• 2006

The spray behavior of direct-injection spark-ignition(DISI) engines is crucial for obtaining the required mixture distribution for optimal engine combustion. The spray characteristics of DISI engines are affected by many factors such as piston bowl shape, air flow, ambient temperature, injection pressure and fuel temperature. In this study, the effect of fuel temperature on the spray and combustion characteristics was partially investigated for the wall-guided system. The effect of fuel temperature on the fan spray characteristics was investigated in a steady flow rig embodied in a wind tunnel. The shadowgraphy and direct imaging methods were employed to visualize the spray development at different fuel temperatures. The microscopic characteristics of spray were investigated by the particle size measurements using a phase Doppler anemometry(PDA). The effect of injector temperature on the engine combustion characteristics during cold start and warming-up operating conditions was also investigated. Optical single cylinder DISI engine was used for the test, and the successive flame images captured by high speed camera, engine-out emissions and performance data have been analyzed. This could give the way of forming the stable mixture near the spark plug to achieve the stable combustion of DISI engine.

• 대한환경공학회지
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• 제36권10호
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• pp.704-710
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• 2014

바이오매스는 지구온난화에 중요한 기여자인 이산화탄소와 같은 온실가스를 해결할 수 있는 대체에너지로 간주된다. 또한 바이오매스 에너지는 열화학적 전환 공정을 통해 다양한 형태로 전환된다. 본 연구에서는 목질계 바이오매스의 가스화를 위해 연속식 가스화기를 제작하였다. 목질계 바이오매스는 폐목재를 사용하였다. 이산화탄소 가스화 실험은 가스화 온도, 함수율 그리고 주입 이산화탄소 농도 변화에 따라 진행하였다. 실험결과는 가스화 온도가 증가함에 따라 생성가스 발생량이 증가함을 보였다. 경질타르는 중질타르의 열적 분해에 의해 증가되었고, 주사현미경 분석을 통해 촤 세공형성이 발달되는 것을 확인하였다. 일산화탄소 농도는 부다 반응에 의해 이산화탄소 주입농도 증가함에 따라 증가하였다. 변수별 실험에 의해, 최적 실험 조건에서 수소와 일산화탄소는 32.91%와 48.33%가 생성되었다.