• 한국추진공학회지
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• 제1권2호
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• pp.12-21
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• 1997

무공해 에너지원은 화석에너지의 고갈과 환경오염의 심각한 문제로 인하여 절실히 요구되고 있는 실정이다. 그중 풍력발전 시스템은 타 에너지원에 비해 여러 가지 측면에서 유리한 점을 가지고 있다. 본 연구에서는 500㎾급 풍력발전 시스템을 개발함에 있어, 적합한 공력성능 및 구조성능을 가지는 회전날개 설계과정을 수행하였다. 공력설계는 운용지역의 풍황을 고려하여 회전날개의 외형을 결정하였고 이를 바탕으로 공력성능해석이 수행되었으며, 구조설계는 복합재료를 사용하여 쉘-스파 구조를 갖도록 설계하여 굽힘 및 비틀림 그리고 피로수명에 대한 구조해석이 수행되었다. 그 결과 4m/s의 미풍에서도 운용가능하며, 12m/s에서는 정격출력 500㎾를 생산할 수 있는 형상이 설계되었고, 또한 20년 이상의 피로수명이 확보되었으며, 공진 등의 동적인 문제도 발생하지 않음을 확인하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 추계학술대회 논문집
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• pp.613-614
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• 2009

• 산업기술연구
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• 제24권B호
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• pp.83-87
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• 2004

A reduced structure model of a wind turbine generator is designed and manufactured. Mode data are obtained by modal testing and analytical method. Vibration response is measured and investigated under various speed condition by using a waterfall plot. Possibility of severe resonance is observed and the mechanism is explained by using the mode data. Simplified theoretical model gives the 1st resonance frequency of wind turbine structure model. The theoretical model can be applied in the design stage of the wind turbine structure to avoid the severe resonance problem.

• 한국항공우주학회지
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• 제31권1호
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• pp.49-57
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• 2003

일반적으로 회전익 공기역학에서 기초적인 해석 도구로 이용되고 있는 운동량 이론 (구동 원반 이론)과 깃 요소법을 부메랑에 적용하여 그 비행 궤적을 예측하여 보았다. 실제로 부메랑을 제작하여 수치 모사의 결과와도 비교하고 물리적인 직관을 얻었다. 실제로 부메랑을 제작하여 수치 모사의 결과와도 비교하고 물리적인 직관을 얻었다. 수치 해석과 실험 모두에서 이륙한 부메랑은 마치 ‘날으는 회전차’와 같이 세차 운동을 수반하면서 헬리콥터 모드로부터 오토자이로 모드로 전이하여 가는 것을 관찰할 수 있었다. 전체 시스템은 극도로 비선형적이어서 초기 조건에 매우 민감함을 보였다. 인자들을 변화시키면 다양한 비행 궤적들을 얻을 수 있다.

• 대한기계학회논문집A
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• 제36권1호
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• pp.117-124
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• 2012

본 논문에서는 유한요소법을 이용하여 블레이드에서 발생하는 동력을 발전기로 전달하는 체결부에 대한 연구를 수행하였다. 블레이드 체결부의 유한요소 모델을 수립하기 위하여 실험적 모드해석을 이용하여 각 부품의 고유진동수 및 고유모드를 추출하였으며, 사용프로그램인 ANSYS를 이용한 모드해석을 통하여 추출된 유한요소 모델의 고유진동수와 고유모드 비교를 통하여 모델을 검증하였다. 검증된 유한요소 모델을 이용하여 정격풍속 상태와 한계풍속 상태에서 응력해석을 수행하였으며, 해석 시 작동상태의 경계조건과 중력 및 바람에 의한 하중이 고려되었다.

• 한국표면공학회지
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• 제41권6호
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• pp.335-340
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• 2008

Cutting performance and wear behavior were studied with the diamond micro-blade of Cu/Sn bond materials containing various amount of lubricant materials such as graphite and $MoS_2$. Measurement of instantaneous electric power consumption for cutting glass workpiece at the constant velocity was conducted and proposed as a method to assess cutting efficiency. The energy consumption of micro-blade for glass cutting decreased with the content of graphite and $MoS_2$ while wear amount of blade in volume increased with the amount of lubricant addition during the dicing test. It is because that hardness, flexural strength, and fracture toughness ($K_{IC}$) reduced with the amount of lubricant addition. Blades with $MoS_2$ additive showed higher mechanical properties than those with graphite additives when the same amount of the lubricant additive in wt.% was added. Due to the lower density of graphite than $MoS_2$, higher volume fraction of graphite could result in stronger effect on lowering electric power consumption by reducing the friction between blade and work piece however increasing wear rate due to the reduction in strength and fracture toughness. Adhesive wearing mode of micro blade could be remarkably improved by the addition of graphite as well as $MoS_2$.

• Structural Engineering and Mechanics
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• 제52권3호
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• pp.485-505
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• 2014

This study aimed to develop an approach to accurately predict the wind models and wind effects of large wind turbines. The wind-induced vibration characteristics of a 5 MW tower-blade coupled wind turbine system have been investigated in this paper. First, the blade-tower integration model was established, which included blades, nacelle, tower and the base of the wind turbine system. The harmonic superposition method and modified blade element momentum theory were then applied to simulate the fluctuating wind field for the rotor blades and tower. Finally, wind-induced responses and equivalent static wind loads (ESWL) of the system were studied based on the modified consistent coupling method, which took into account coupling effects of resonant modes, cross terms of resonant and background responses. Furthermore, useful suggestions were proposed to instruct the wind resistance design of large wind turbines. Based on obtained results, it is shown from the obtained results that wind-induced responses and ESWL were characterized with complicated modal responses, multi-mode coupling effects, and multiple equivalent objectives. Compared with the background component, the resonant component made more contribution to wind-induced responses and equivalent static wind loads at the middle-upper part of the tower and blades, and cross terms between background and resonant components affected the total fluctuation responses, while the background responses were similar with the resonant responses at the bottom of tower.

• Coupled systems mechanics
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• 제2권3호
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• pp.231-253
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• 2013

The impact of spar-nacelle-blade coupling on edgewise dynamic responses of spar-type floating wind turbines (S-FOWT) is investigated in this paper. Currently, this coupling is not considered explicitly by researchers. First of all, a coupled model of edgewise vibration of the S-FOWT considering the aerodynamic properties of the blade, variable mass and stiffness per unit length, gravity, the interactions among the blades, nacelle, spar and mooring system, the hydrodynamic effects, the restoring moment and the buoyancy force is proposed. The aerodynamic loads are combined of a steady wind (including the wind shear) and turbulence. Each blade is modeled as a cantilever beam vibrating in its fundamental mode. The mooring cables are modeled using an extended quasi-static method. The hydrodynamic effects calculated by using Morison's equation and strip theory consist of added mass, fluid inertia and viscous drag forces. The random sea state is simulated by superimposing a number of linear regular waves. The model shows that the vibration of the blades, nacelle, tower, and spar are coupled in all degrees of freedom and in all inertial, dissipative and elastic components. An uncoupled model of the S-FOWT is then formulated in which the blades and the nacelle are not coupled with the spar vibration. A 5MW S-FOWT is analyzed by using the two proposed models. In the no-wave sea, the coupling is found to contribute to spar responses only. When the wave loading is considered, the coupling is significant for the responses of both the nacelle and the spar.

• 비파괴검사학회지
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• 제36권2호
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• pp.93-101
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• 2016

This paper presents the results obtained using time-series-based methods for structural damage assessment. The methods are applied to a wind turbine blade structure subjected to fatigue loads. A 9 m CX-100 (carbon experimental 100 kW) blade is harmonically excited at its first natural frequency to introduce a failure mode. Consequently, a through-thickness fatigue crack is visually identified at 8.5 million cycles. The time domain data from the piezoelectric active-sensing techniques are measured during the fatigue loadings and used to detect incipient damage. The damage-sensitive features, such as the first four moments and a normality indicator, are extracted from the time domain data. Time series autoregressive models with exogenous inputs are also implemented. These features could efficiently detect a fatigue crack and are less sensitive to operational variations than the other methods.

• 한국기계가공학회지
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• 제20권9호
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• pp.28-34
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• 2021

The Fourth Industrial Revolution has led to the development of drones for commercial and private applications. Therefore, the malfunction of drones has become a prominent problem. Failure mode and effect analysis was used in this study to analyze the primary cause of drone failure, and blade breakage was observed to have the highest frequency of failure. This was tested using a vibration sensor placed on drones along the breakage length of the blades. The data exhibited a significant increase in vibration within the drone body for blade fracture length. Principal component analysis was used to reduce the data dimension and classify the state with machine learning algorithms such as support vector machine, k-nearest neighbor, Gaussian naive Bayes, and random forest. The performance of machine learning was higher than 0.95 for the four algorithms in terms of accuracy, precision, recall, and f1-score. A follow-up study on failure prediction will be conducted based on the results of fault diagnosis.