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Mg2+, PO4 3--P공급원에 다른 Struvite 형성과 축산분뇨 내의 암모니아 제거
강우창 ( W. C. Kang ),정성진 ( S. J. Jung ),정종환 ( J. H. Jung ),함형주 ( H. J. Ham ),오상은 ( S. E. Oh ) 강원대학교 농업생명과학연구원(구 농업과학연구소) 2012 강원 농업생명환경연구 Vol.24 No.1
Struvite crystallization is good for high removal efficiency of nitrogen and phosphate in wastewater. In this study, comparison between NH4 +-N and PO4 2- removal in artificial, swine wastewater has been performed. In artificial wastewater treated with MgO, the value of pH was increased to 11 and the electrical conductivity (EC) was decreased possibly due to struvite generation. Ammonia was sharply decreased to about 80% and became very low in concentration upon addition of H3PO4. Removal efficiency of PO4 2- was 90%. In swine wastewater pH was increased like artificial wastewater. Ammonia was also decreased. However, it was decreased only 40% due to effect of chemicals already present in swine wastewater.
강우(W.Kang),김현철(H.C.Kim),이호준(H.J.Lee) 한국자동차공학회 1998 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1998 No.11_1
In this study, in order to establish performance through the endurance test of piston for heavy CNG engine, after piston housing was made, we carried out endurance test of heavy CNG engine piston(φ128) kind of A-type and B-type. Through 3-D measuring machine, compared with the roundness of piston pin hall of experiment before and after, we performed numerical analysis to use I-DEAS and then compared with the result of experiment to analyze the stress and displacement distribution of applied piston.<br/>
강우(W.Kang),박동규(D.K.Park),김현철(H.C.Kim),오박균(P.K.Oh),이관수(K.S.Lee) 한국자동차공학회 1997 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1997 No.11_1
This study aims at the optimal design of rotors and the development of screw typs Supercharger of CNG-fueled engine for commercial vehicle. Based on the new rotor profile. an advanced oil free type Supercharger has been developed. which can achieve higher adiabatic efficiency and lower manufacturing cost. The performance test of screw type Supercharger has achieved high volumetric efficiency and the durability on the bench of performance test has also been established in the compact body.<br/>
강우(W.Kang),박동규(D.K.Park),김현철(H.C.Kim),오박균(P.K.Oh),노석홍(S.H.Noh) 한국자동차공학회 1998 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1998 No.5_1
This study aims at the optimal design of rotors and the development of screw type Supercharger for the passenger car. Based on the new rotor profile, an advanced Supercharger has been developed, which can achieve higher adiabatic efficiency and volumetric efficiency. The performance test of screw type Supercharger has achieved high efficiency and the durability on the bench of performance test has also been established to get reliability of Supercharger when it will adhere to gasoline engine.<br/>
난류 유동에서 다변수 인자에 대한 기계 학습 기법 비교 연구
하강우(K.W. Ha),윤현근(H. Yun),남상혁(S. Nam),김영재(Y. Kim),강성원(S. Kang) 한국전산유체공학회 2021 한국전산유체공학회지 Vol.26 No.1
It is important to predict spatially varying parameters to model turbulent flows. In this study, the spatially varying parameters are modeled via machine learning techniques using experiment-based turbulent bubble flow data and DNS-based turbulent Prandtl number data. The prediction and generalization errors of machine learning models are evaluated, and the different techniques are compared. Among the artificial neural network (ANN) techniques, the regular ANN using the full-batch training and the stochastic gradient descent (SGD) ANN based on mini-batch training are compared with the random forest (RF) method. The prediction and generalization errors show different characteristics according to the data resolution. For the coarsest bubbly flow data set, SGD ANN shows stable training and prediction, which leads to the smallest prediction and generalization errors. For the data sets with a finer resolution, the generalization error of SGD ANN is smallest, whereas the average prediction errors of regular ANN and RF method are smaller compared to SGD ANN. When evaluated using the trained models, all machine learning techniques show similar spatial distribution to the original data.