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레이저 유기 후면 습식 식각(LIWBE) 기법을 이용한 유리 미세 가공 공정의 실험적 해석
이태화(T.H. Lee),김동식(D.S. Kim) 한국레이저가공학회 2008 한국레이저가공학회 학술대회 논문집 Vol.2008 No.-
Glass materials have been used in various areas due to their outstanding properties such as thermal and chemical stability, inertness, and transparency over wide wavelength. However, those properties also make it difficult to micromachine. Laser-induced backside wet etching(LIBWE) is a good altercative for micro-fabrication of UV transparent materials. In this paper, glass micromachining by the LIBWE method is analyzed experimentally to understand the process of material removal by varying the liquid environment where the ablation occurs. Mechanical effects induced by ablation of absorbing toluene liquid are responsible for molten material removal and are affected by the environment such as the chamber pressure. Experiments are conducted to investigate the effect of confined chamber and change in glass thickness on the etch rate.
이태일,권순홍,전영기,T.I. Lee,S.H. Kwon,Y.K. Chon 대한조선학회 1992 大韓造船學會 論文集 Vol.29 No.2
본 연구를 통하여 극한 파고를 계산하는 방법들을 제시하였다. Type III 분포에 근거해서 분포 함수의 파라미터 산출을 위하여 non-linear multiple regression 방법, skewness 방법, maximum likelihood방법들을 사용하였다. 좀 더 정확한 결과를 얻기 위하여 추정된 분포 함수의 차이를 다항식을 도입하여 맞추었다. 제시한 방법을 응용하여 계산 예들을 보였다. The computational methods of extreme sea level are developed in this study. Based on type III asymptotic distribution, non-linear multiple regression method, skewness method and maximum likelihood method are used to evaluate the parameters of the distribution. The difference between real data and evaluated distribution function is fitted to get more desirable accuracy by employing polynominals. The numerical examples are given in the last section in order to illustrate the application of the present scheme.
[論文] 자동차 실내 소음저감을 위한 다채널 능동 소음제어에 관한 연구 I :컴퓨터 시뮬레이션
이태연(T.Y.Lee),신준(J.Shin),김흥섭(H.S.Kim),오재응(J.E.Oh) 한국자동차공학회 1992 오토저널 Vol.14 No.5
Active control of acoustic noise is an application area of adaptive digital signal processing with increasingly interest along the last year. This work studies the implementation of the multichannel LMS filter and the application of this algorithm for the reduction of the noise inside a vechicle cabin using a number of 'secondary sources' drived by adaptive filtering of a reference noise source. Firstly, we propose the use of an adaptive method for the time-varient optimal convergence factor. Secondly, we propose the use of adaptive delayed inverse model to estimate the elastic-acoustic transfer function presented in vechicle cabin.<br/> The original, primary source is often periodic, with a known fundamental frequency. A suitably filtered reference signal can thus be used to drive the secondary sources. An algorithm is presented for adapting the coefficients of an FIR filter feeding such a secondary source in such a way as to minimize the output of a suitably placed microphone. In this algorithm, the coefficients of adaptive filter driving an array of secondary sources can be adapted to minimize the sum of the squares of the outputs of a number of error microphones. The multichannel LMS algorithm displays that such an algorithm is considered suitable to used for the global suppression of noise in vehicle cabin.