• 한국세라믹학회지
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• 제28권9호
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• pp.667-674
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• 1991

In this study, Kaolin was carbonized at 1300~175$0^{\circ}C$ and its constituent mineral change was investigated. Carbonized kaolin at 1$650^{\circ}C$ was mixed with metallic silicon, formed and nitrified at 135$0^{\circ}C$ in N2-NH3 atmosphere. Properties of this product such as porosity, bulk density, MOR, nitrization rate and oxidation resistence were measured, and its mineralogical changes were investigated by XRD. The results were as follows; 1) $\beta$-SiC was initially synthesized at 150$0^{\circ}C$, and its amount was continuously increased with reaction temperature to 1$700^{\circ}C$. 2) At 1$600^{\circ}C$, mullite was rapidly decomposed and the amounts of $\beta$-SiC and $\alpha$-Al2O3 were increased simultaneously. 3) By adding alkali to kaolin, the decomposition temperature of mullite was dropped approximately 10$0^{\circ}C$, but the amount of $\alpha$-SiC was increased. 4) The highest values of their nitrization rate and MOR were obtained at the specimen of 35 wt% metallic silicon in nitrization reaction. 5) It seems that increment of $\alpha$-Si3N4 and $\alpha$-Al2O3 phase during nitrization was due to the decomposition of Al4SiC4 existed in carbonized kaolin. 6) Si3N4 bonded SiC-Al2O3 composite were fabricated from kaolin at relatively low temperature (135$0^{\circ}C$).

• 전기화학회지
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• 제19권3호
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• pp.57-62
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• 2016

The over-discharging phenomena in sodium-nickel chloride batteries were investigated in relation to decomposition of molten salt electrolyte and consequent metal co-deposition. From XRD analysis, the material deposited on graphite cathode current collector was revealed to be by-product of molten salt electrolyte decomposition. In particular, the result showed that the Ni-Al alloys ($Al_3Ni_2$, $Ni_3Al$ and $Al_3Ni$) were electrochemically deposited on graphite current collectors in line with over-discharging behaviors. It is assumed that the $NiCl_2$ solubility in molten salt electrolytes leads to the co-deposition of Ni-Al alloys by increasing metal deposition potential above 1.6 V (vs. $Na/Na^+$). The cell tests have revealed that the composition of molten salt electrolytes modified by various additives makes a decisive influence on the over-discharging behaviors of the cells. It was revealed that NaOCN addition to molten salt electrolytes was advantageous to suppress over-discharge reactions by modifying the characteristics of molten salt electrolytes. NaOCN addition into molten salt electrolytes seems to suppress Ni solubility by maintaining basic melts. The cell using modified molten salt electrolyte with NaOCN (Cell D) showed relatively less cell degradation compared with other cells for long cycles.

• 한국소음진동공학회논문집
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• 제26권7호
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• pp.765-773
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• 2016

The vehicle interior noise caused by exterior fluid flow field is one of critical issues for product developers in a design stage. Especially, turbulence and vortex flow around A-pillar and side mirror affect vehicle interior noise through a side window. The reliable numerical prediction of the noise in a vehicle cabin due to exterior flow requires distinguishing between the aerodynamic (incompressible) and the acoustic (compressible) surface pressures as well as accurate computation of surface pressure due to this flow, since the transmission characteristics of incompressible and compressible pressure waves are quite different from each other. In this paper, effective signal processing technique is proposed to separate them. First, the exterior flow field is computed by applying computational aeroacoustics techniques based on the Lattice Boltzmann method. Then, the wavenumber-frequency analysis is performed for the time-space pressure signals in order to characterize pressure fluctuations on the surface of a vehicle side window. The wavenumber-frequency diagrams of the power spectral density shows clearly two distinct regions corresponding to the hydrodynamic and the acoustic components of the surface pressure fluctuations. Lastly, decomposition of surface pressure fluctuation into incompressible and compressible ones is successfully accomplished by taking the inverse Fourier transform on the wavenumber-frequency diagrams.

• International Journal of Aeronautical and Space Sciences
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• 제16권3호
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• pp.418-424
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• 2015

The chemical response of energetic materials is analyzed in terms of 1) the thermal decomposition under the thermal stimulus and 2) the reactive flow upon the mechanical impact, both of which give rise to an exothermic thermal runaway or an explosion. The present study aims at building a set of chemical kinetics that can precisely model both thermal and impact initiation of a heavily aluminized cyclotrimethylene-trinitramine (RDX) which contains 35% of aluminum. For a thermal decomposition model, the differential scanning calorimetry (DSC) measurement is used together with the Friedman isoconversional method for defining the frequency factor and activation energy in the form of Arrhenius rate law that are extracted from the evolution of product mass fraction. As for modelling the impact response, a series of unconfined rate stick data are used to construct the size effect curve which represents the relationship between detonation velocity and inverse radius of the sample. For validation of the modeled results, a cook-off test and a pressure chamber test are used to compare the predicted chemical response of the aluminized RDX that is either thermally or mechanically loaded.

• 한국전산구조공학회논문집
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• 제21권1호
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• pp.113-124
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• 2008

본 연구는 제품(구조물)최적화와 프로세스 병렬화가 통시에 실행되는 통합구조설계운용 방법을 제시한다. 관행적 설계방법과 최적화설계방법의 장점들을 선택적으로 수용 보완하는 DB연동 혼성방법을 통해 설계조건을 단계적으로 적용함으로써 대형최적화문제의 계산적 부담 및 이질감을 최소화하였다. PC 네트워크상에서 공학설계를 구성하는 수치연산과 도면작성이 동시공학적 절차로 구현되고, 여기서 설계의 수치연산은 유한요소기반 최적화 방법에 기초하며, 그래픽작업은 AutoLISP 프로그래밍을 통하여 AutoCAD로 표현된다. 수치연산을 병행하는 서버 및 이산최적화를 지원하는 DB서버와 그래픽스테이션 간의 통신은 메시지패싱 방식으로 이루어진다. 표준최적화모델인 트러스구조에 대한 수치실험은 연구의 타당성과 유용성을 보여준다. 공학설계를 구성하는 주된 작업요소를 분산 병행 처리하는 된 연구는 일반적 방법론 및 산업표준환경 등에 기초한다는 점에서 충분한 적용성과 확장성을 갖는다.

• International Journal of Aeronautical and Space Sciences
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• 제18권3호
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• pp.512-521
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• 2017

This paper reports development process of a university-based sounding rocket using simplified hybrid rocket propulsion system for low-altitude flight application. A hybrid propulsion system was tried to be designed with as few components as possible for more economical, simpler and safer propulsion system, which is essential for the small scale sounding rocket operation as a CanSat carrier. Using blow-down feeding system and catalytic ignition as combustion starter, 250 N class hybrid rocket system was composed of three components: a composite tank, valves, and a thruster. With a composite tank filled with both hydrogen peroxide($H_2O_2$) as an oxidizer and nitrogen gas($N_2$) as a pressurant, the feeding pressure was operated in blowdown mode during thruster operation. The $MnO_2/Al_2O_3$ catalyst was fabricated for propellant decomposition, and ground test of propulsion system showed the almost theoretical temperature of decomposed $H_2O_2$ at the catalyst reactor, indicating sufficient catalyst efficiency for propellant decomposition. Auto-ignition of the high density polyethylene(HDPE) fuel grain successfully occurred by the decomposed $H_2O_2$ product without additional installation of any ignition devices. Performance test result was well matched with numerical internal ballistics conducted prior to the experimental propulsion system ground test. A sounding rocket using the developed hybrid rocket was designed, fabricated, flight simulated and launch tested. Six degree-of-freedom trajectory estimation code was developed and the comparison result between expected and experimental trajectory validated the accuracy of the developed trajectory estimation code. The fabricated sounding rocket was successfully launched showing the effectiveness of the simplified hybrid rocket propulsion system.

• 열처리공학회지
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• 제18권4호
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• pp.247-255
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• 2005

Although heat treatment is a process of great technological importance in order to obtain desired mechanical properties such as hardness, the process was required a tedious and expensive experimentation to specify the process parameters. Consequently, the availability of reliable and efficient numerical simulation program would enable easy specification of process parameters to achieve desired microstructure and mechanical properties without defects like crack and distortion. In present work, the developed numerical simulation program could predict distributions of microstructure and thermal stress in steels under different cooling conditions. The computer program is based on the finite difference method for temperature analysis and microstructural changes and the finite element method for thermal stress analysis. Multi-phase decomposition model was used for description of diffusional austenite decompositions in low alloy steels during cooling after austenitization. The model predicts the progress of ferrite, pearlite, and bainite transformations simultaneously during quenching and estimates the amount of martensite also by using Koistinen and Marburger equation. To verify the developed program, the calculated results are compared with experimental ones of casting product. Based on these results, newly designed heat treatment process is proposed and it was proved to be effective for industry.

• Nuclear Engineering and Technology
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• 제54권1호
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• pp.36-48
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• 2022

As a valid numerical method to obtain a high-resolution result of a flow field, computational fluid dynamics (CFD) have been widely used to study coolant flow and heat transfer characteristics in fuel rod bundles. However, the time-consuming, iterative calculation of Navier-Stokes equations makes CFD unsuitable for the scenarios that require efficient simulation such as sensitivity analysis and uncertainty quantification. To solve this problem, a reduced-order model (ROM) based on proper orthogonal decomposition (POD) and machine learning (ML) is proposed to simulate the flow field efficiently. Firstly, a validated CFD model to output the flow field data set of the rod bundle is established. Secondly, based on the POD method, the modes and corresponding coefficients of the flow field were extracted. Then, an deep feed-forward neural network, due to its efficiency in approximating arbitrary functions and its ability to handle high-dimensional and strong nonlinear problems, is selected to build a model that maps the non-linear relationship between the mode coefficients and the boundary conditions. A trained surrogate model for modes coefficients prediction is obtained after a certain number of training iterations. Finally, the flow field is reconstructed by combining the product of the POD basis and coefficients. Based on the test dataset, an evaluation of the ROM is carried out. The evaluation results show that the proposed POD-ROM accurately describe the flow status of the fluid field in rod bundles with high resolution in only a few milliseconds.

• 농업생명과학연구
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• 제50권4호
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• pp.147-155
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• 2016

본 연구에서는 육상양식장에서 배출되는 부산물의 자원화 방안으로 뱀장어 양식장에서 배출되는 고형오물에 미강, 탈지대두박과 같은 식품 부산물을 첨가하여 유산균, 황국균, 고초균을 단계적으로 접종하여 발효시킨 발효사료의 성분 변화를 측정하였다. 발효사료의 제조 단계별 수분함량은 유산균을 이용한 1단 발효물 14.6%, 황국균과 고초균을 이용한 2단, 3단 발효물은 각각 33.0%와 34.0% 였다. pH는 1단 발효물에서는 유산균에 의한 젖산의 분비로 인해 5.38로 나타났으며 2단, 3단 발효물은 각 5.66과 7.26으로 측정되어 pH가 상승하는 것으로 나타났다. 피트산의 함량은 1단 발효물은 0.126g/100g, 2단 발효물은 0.004g/100g, 3단 발효물은 0.093g/100g으로 나타나는 것을 확인 할 수 있었다. 질소 함량을 측정한 결과 아미노태질소 함량은 2단 발효물이 1226.37mg%로 높았고, 3단 발효물에서 710.18mg%로 다소 감소하였으며, 암모니아태질소 함량은 1단 발효물 0.988mg/kg에서 3단 발효물 1.502mg/kg로 증가되었다. 총질소 함량은 1단 발효물 2.78%와 2단 발효물 4.08% 그리고 3단 발효물 4.85%로 증가되었다. 3가지 미생물로 연속적인 발효가 진행될수록 피트산은 감소하고 단백질 분해율이 높아지는 경향이 나타났고 3단 발효에 의해 저분자 질소성분 함량이 증가한 것으로 미루어 소화 흡수성이 높은 사료화가 진행됨을 추측할 수 있다.

• 정보과학회 논문지
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• 제44권8호
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• pp.803-812
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• 2017

T-커머스는 양방향 디지털 TV를 기반으로 양방향 데이터방송 기술을 활용하여 상거래를 하는 기술융합형 서비스이다. 채널 번호와 판매상품이 제한된 환경에서 T-커머스의 매출을 극대화 하기 위해서는 각 제품의 시간대별 경쟁력을 고려하여 매출이 최대화 되도록 프로그램을 편성해야 한다. 이를 위해, 본 논문에서는 딥러닝을 이용해 T-커머스에서 각 상품을 각 시간대에 편성하였을 때의 매출을 예측하는 방법을 제안한다. 제안하는 방법은 심층신경망을 이용해 판매 상품과 시간대, 주차, 휴일 여부, 그리고 날씨를 입력 받아 실제 방송으로 편성했을 때 기대되는 매출을 예측한다. 그리고, 통계적 모델과 SVD(Singular Value Decomposition)를 적용하여 판매 데이터의 편중 및 희박성 문제를 완화한다. 실제 T-커머스 운영자인 (주)더블유쇼핑의 판매 기록 데이터에 대하여 실험하였을 때 실제 매출과 예측치의 차이가 0.12의 NMAE(Normalized Mean Absolute Error)를 보여 제안하는 알고리즘이 효과적으로 동작함을 확인하였다. 제안된 시스템은 (주)더블유쇼핑의 T-커머스 시스템 적용되어 방송 편성에 활용되었다.