http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
윤인식,임미섭 한국철도학회 2003 한국철도학회논문집 Vol.6 No.2
This study proposes the neural network simulator for the integrity evaluation of weld zone in railway rails. For these purposes, the ultrasonic signals for defects(crack) of weld zone in frames are acquired in the type of time series data and echo strength. The detection of the natural defects in railway truck is performed using the characteristics of echodynamic pattern in ultrasonic signal. And then their applications evaluated feature extraction based on the time-frequency-attractor domain(peak to peak, rise time, rise slope, fall time, fall slope, pulse duration, power spectrum, and bandwidth) and attractor characteristics (fractal dimension and attractor quadrant) etc. The constructed neural network simulator agrees fairly well with the measured results of test block(defect location, beam propagation distance, echo strength, etc). The Proposed neural network simulator in this study can be used for the integrity evaluation of weld zone in railway rails.
위상공간-주파수 영역을 고려한 레일 용접부의 결함 평가
윤인식,권성태,장영권,정우현,이찬석 한국철도학회 1999 한국철도학회논문집 Vol.2 No.2
This study proposes the analysis and evaluation method of time series ultrasonic signal using the phase space-frequency domain. Features extracted from time series signal analyze quantitatively characteristics of weld defects. For this purpose, analysis objectives in this study are features of time domain and frequency domain. Trajectory changes in the attractor indicated a substantial difference in fractal characteristics resulting from distance shifts such as parts of head and flange even though the types of defects are identified. These differences in characteristics of weld defects enables the evaluation of unique characteristics of defects in the weld zone. In quantitative fractal feature extraction, feature values of 3.848 in the case of part of head(crack) and 4.102 in the case of part of web(side hole) and 3.711 in the case of part of flange(crack) were proposed on the basis of fractal dimension. Proposed phase space-frequency domain method in this study can integrity evaluation for defect signals of rail weld zone such as side hole and crack.
3차원 컴퓨터단층촬영 영상을 이용한 전두동 발달의 연구
윤인식,나동균 대한두개안면성형외과학회 2009 Archives of Craniofacial Surgery Vol.10 No.2
Purpose: Although there are many reports on the development of paranasal sinuses, few studies were performed with respect to the frontal sinus with 3D CT, especially in Korean children. In this study, we evaluated the normal development of frontal sinus in Korean children with 3D CT imaging. Methods: A total of 301 patients under the age of 20 were reviewed retrospectively. Maximal AP (anteroposterior) length, height and width were measured with the aid of computer device. The volume of frontal sinus was also evaluated. Results: At the age of more than 4, the pneumatization of frontal sinus was detected. Frontal sinus developed continuously and was observed in almost every children at the age of more than 17. The AP length, height, width and volume of frontal sinus were enlarged continuously until the age of 20. And the maximal growth of frontal sinus was observed at puberty. The width and volume of frontal sinus showed high correlation coefficient (r=0.8) relative to height or AP distance. Conclusion: The results of this study may be helpful in the comprehension of normal development of frontal sinus in Korean children.
국내 원자력발전소의 사용후핵연료 선원항 평가에 관한 연구
윤인식,정운관,김성영,염유선,심재학 조선대학교 에너지.자원신기술연구소 2003 에너지·자원신기술연구소 논문지 Vol.25 No.2
우리나라에서도 원자력발전이 상용화된지 이십여년을 넘어서면서 원자력발전을 하고 있는 다른 나라와 마찬가지로 사용후핵연료 관리가 국가적인 문제로 심각히 대두되고 있다. 중간저장 시설은 1997년부터 운영예정이었으나 현재 그의 부지가 아직 확보되지 못한 상태에서 그 운전개시 시점이 불확실하다. 그리고 중간저장 이후의 사용후핵연료 정기관리 전략이 아직 마련되어 있지 못한 실정이다. 그러므로 발전소에서 발생되는 사용후핵연료 양과 그에 따른 선원항 평가는 반드시 선행되어야 할 것이다. 이제 본 연구에서는 국내 사용후핵연료 형태중 17×17에 대해서 농축도와 연소도 그리고 냉각시간별로 선원항 평가를 하였다. 사용후핵연료 선원항 평가를 위해 미국 Nuclear Regulatory Commission(NRC)의 인·허가 코드인 SCALE 코드를 이용하였다. 선원항 평가는 SCALE 코드의 모듈을 이용하였다. 선원항 평가 결과 농축도와 3.5 w/o와 연소도 35 GWD/MTU 일때 Cooling Time 0.3년은 7.5651E+16, 1년 2.8954E+16, 3년 9.8242E+15, 5년 5.4000E+15, 10년 3.0945E+15으로 계산되었으며, Cooling Time이 0.3년일때와 10년일때의 Source Term이 크게 차이가 남을 알 수 있었다. 방사선량율은 10 ㎝부터 500 ㎝ 까지 거리에 따라 선량율에 대하여 10 ㎝ 4.8365E+03(㏉/hr)에서 500 ㎝ 7.8456E+01으로 감소함을 알 수 있었다. 현재 국내 사용후핵연료에 대한 선원항 평가가 이루어지지 않았으며, Data Base 구축이 기초단계 이므로 이러한 기초자료는 추후 저장조가 건설되면 사용후핵연료 안전성과 관련하여 사용할 수 있는 것이고 기초 Data Base구축하는데 이용할 수 있을 것이다 As nuclear power has been used in our country over 20 years, spent fuel management is raised seriously as one of the national`s problems, which lies in similar situation to other countries having nuclear power plants. An interim storage facility has been planned to operate in 1997, it is highly uncertain whether this facility will start to operate by the time because the site has not been decided yet. After the intermediate storage, the spent fuel periodical management strategy has not prepared yet. Therefore it has to be preceded that the spent fuel quantity which is happening at the power station and the following source term. Now the main have evaluated the source term according to enrichment, burn-up, and cooling time for 17×17 of spent fuel form. I used the SCALE code which were certified by Nuclear Regulatory Commission(NRC) for the source term calculations of Spent Fuel. The source term was calculated, which reflected the feature of target nuclear fuel using ORIGEN-S, a module of the SCALE Code, and the exposure dose rates were calculated by using the QADS modules, considering the geometry. When the enrichment in the evaluated result of source term is 3.5 w/o and the burn-up is 35 GWD/MTU, the cooling time 0.3year is 7.561E+16(photon/second), 1year 2.8954E+16, 3year 9.8242E+15, 5year 5.400E+15, 10year 3.0945E+15 and found that the big difference in Photon Spectrum of cooling time 0.3year and 10year. I have found that radiation dose rate is decreased in 10㎝ 4.8365E+03(㏉/hr) into 500 ㎝ 7.8456E+01 for dose rate according to distance from 10 ㎝ to 500 ㎝. It is not made the source term evaluation on the domestic spent fuel, and since the data base construction is basic level, some time later, if the storage place is constructed, in connection with the safety, these basic data can be used and we can construct these basic data base.
윤인식,유영철,김스티브성,게리리드 한국비파괴검사학회 2003 학술대회 논문집 Vol.- No.1
Many cast iron parts are welded and suffer from improper pre-heating and poor welding skills which destroy the castings due to new cracks, deformations etc. This is due mainly to the lack of understanding of the properties of cast iron. Welding, however impractical, was the only alternative for many years. Locks are used to add strength across a crack. Special drilling jigs are used to create a precise hole pattern that locks are driven into. Our locks have a unique ability to pull the sides of a crack together. Bottom locks are stacked or laminated to a depth of 80% of the casting thickness. Thicker surface locks finish off lock installation, allowing repairs in irregular shapes and contours. Installing products can be done quickly with pneumatic tools. Up to one inch of repair can be done in 5 minutes in 1/4" thick cast iron.
신경회로망과 경계요소법을 이용한 원공에서 파생하는 2차원 탄성균열의 응력세기계수 예측 모델링
윤인식,이원,Yun, In-Sik,Yi, Won 대한기계학회 2001 大韓機械學會論文集A Vol.25 No.3
Recently the boundary element method has been developed swiftly. The boundary element method is an efficient and accurate means for analysis of two dimensional elastic crack problems. This paper is concerned with the evaluation and the prediction of the stress intensity factor(SIF) for the crack emanating from the circular hole using boundary element method-neural network. The SIF of the crack emanating from the hole was calculated by using boundary element method. Neural network is used to evaluate and to predict SIF from the results of boundary element method. The organized neural network system (structure of four processing element) was learned with the accuracy 99%. The learned neural network system could be evaluated and predicted with the accuracy of 83.3% and 71.4% (in cases of SIF and virtual SIF). Thus the proposed boundary element method-neural network is very useful to estimate the SIF.