• International Journal of Naval Architecture and Ocean Engineering
• /
• 제13권1호
• /
• pp.659-673
• /
• 2021

This study aims to investigate the impact of the High Pressure Selective Catalytic Reduction system (SCR-HP) on a large marine two-stroke engine performance parameters by employing thermodynamic modelling. A coupled model of the zero-dimensional type is extended to incorporate the modelling of the SCR-HP components and the Control Bypass Valve (CBV) block. This model is employed to simulate several scenarios representing the engine operation at both healthy and degraded conditions considering the compressor fouling and the SCR reactor clogging. The derived results are analysed to quantify the impact of the SCR-HP on the investigated engine performance. The SCR system pressure drop and the cylinder bypass valve flow cause an increase of the engine Specific Fuel Oil Consumption (SFOC) in the range 0.3-2.77 g/kWh. The thermal inertia of the SCR-HP is mainly attributed to the SCR reactor, which causes a delayed turbocharger response. These effects are more pronounced at low engine loads. This study supports the better understanding of the operating characteristics of marine two-stroke diesel engines equipped with the SCR-HP and quantification of the impact of the components degradation on the engine performance.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
• /
• pp.205-208
• /
• 2008

수치해석에서는 온도, 압력, 비체적, 엔탈피, 엔트로피 등의 수치값이 필요하다. 그런데 증기표의 대부분의 열역학적 성질들은 측정된 값이기 때문에 기본적으로 측정 오차를 가지고 있다. 본 연구에서는 압력 기준의 물의 포화 상태에 대해, 난수를 발생시켜 적절한 크기로 조절한 다음 원래의 성질들에 더하여 인위적으로 노이즈가 포함된 데이터를 만들었다. 이 데이터를 신경회로망과 스플라인 보간법으로 함수 근사를 하였다. 해석 결과 신경회로망이 2차 스플라인 보간법보다 훨씬 더 적은 백분율 오차를 보였으며 이로부터 신경회로망이 측정 오차의 영향을 적게 받는 함수 근사에 적절한 방법임을 확인하였다.

• 환경영향평가
• /
• 제13권4호
• /
• pp.213-222
• /
• 2004

Exergy is defined as the amount of work (entropy-free energy) a system can perform when it is brought into thermodynamic equilibrium with its environment. Exergy measures the distance from the inorganic soup in energy terms. Therefore, exergy can be considered as fuel for any system that converts energy and matter in a metabolic process. The aim of this study is to introduce structural dynamic modelling which is based on maximum exergy principle. Especially, almost ecological models couldn't explain algal succession until now. New model (structural dynamic model) is anticipated to predict or explain the succession theory. If the new concept using maximum exergy principle is used, algal succession can be explained in many actual cases. Therefore, It is estimated that structural dynamic model using maximum exergy principle might be a excellent tool to understand succession of nature from now on.

• 한국정보통신학회논문지
• /
• 제15권2호
• /
• pp.413-418
• /
• 2011

증기표의 상태량들은 실험을 통하여 얻어진 값이거나 적절한 가정하에서 근사적으로 계산된 값이다. 따라서 증기표의 상태량들은 기본적으로 오차를 가지고 있다. 또한 이러한 상태량을 수치해석에서 사용하기 위하여는 함수 근사를 통하여 모델링하여야 한다. 본 연구에서는 포화증기표에 대해 난수를 적절한 크기로 조절한 다음 원래의 성질들에 더하여 인위적으로 노이즈가 포함된 데이터를 만들어 측정오차를 포함하는 상태량의 대용으로 사용했다. 이 데이터의 모델링에는 신경회로망과 2차 스플라인 보간법을 사용되었다. 해석 결과 양단에서는 스플라인 보간법이 신경회로망보다 훨씬 더 적은 상대오차를 보였으며, 양단을 제외하면 신경회로망은 대체로 ${\pm}0.2%$, 스플라인 보간법은 ${\pm}0.5$~1.5%의 오차를 보였다. 이것은 사용 범위에서는 신경회로망이 스플라인 보간법보다 훨씬 더 적은 상대오차를 가진다는 것을 의미한다. 이 결과로부터 신경회로망이 스플라인 보간법보다 원래의 값은 더 잘 추적할 수 있으며, 신경회로망이 포화증기표의 모델링에 더 적절한 방법이라는 사실을 확인하였다.

• 한국소성가공학회:학술대회논문집
• /
• 한국소성가공학회 2000년도 춘계학술대회논문집
• /
• pp.196-201
• /
• 2000

A thermodynamic model was developed to analyze the characteristics of the heat generation during transformation of austenite in 0.186wt% and 0.458 wt%. carbon steels. The heat capacity and the heat evolved during transformation were formulated as functions of temperature and chemical composition for ferrite bainite and pearlite. in addition using the transformation dilatometer the transformation heat evolved during cooling was measured and the transformation behavior was observed. It was found that the heat capacity of ferrite was similar to those of pearlite and bainite. The heat capacity of ferrite was greater than that of bainite which was greater than that of pearlite. The molar heat of transformation to pearlite was greater than that to bainite which was greater than that to ferrite. The heats were found to be increased with decreased temperature and increasing the carbon content, It was also observed that the thermodynamic model. The heat of transformation in the higher carbon steel was greater than that in the lower carbon one. This was attributed to the lower transformation temperature and the greater amount of transformed pearlite in the higher carbon steel.

• Structural Engineering and Mechanics
• /
• 제33권4호
• /
• pp.391-406
• /
• 2009

Viscoelastic materials store as well as dissipate energy to the thermal domain under deformation. Two efficient modelling techniques reported in literature use coupled (thermo-mechanical) ATF (Augmenting Thermodynamic Fields) displacements and ADF (Anelastic Displacement Fields) displacements, to represent the constitutive relationship in time domain by using certain viscoelastic parameters. Viscoelastic parameters are first extracted from the storage modulus and loss factor normally reported in hand books with the help of Genetic Algorithm and then constitutive relationships are used to obtain the equations of motion of the continuum after discretizing it with finite beam elements. The equations of motion are solved to get the frequency response function and modal damping ratio. The process may be applied to study the dynamic behaviour of composite beams and rotors comprising of several viscoelastic layers. Dynamic behaviour of a composite beam, formed by concentric layers of steel and aluminium is studied as an example.

• 한국화재소방학회:학술대회논문집
• /
• 한국화재소방학회 1997년도 International Symposium on Fire Science and Technology
• /
• pp.112-119
• /
• 1997

The modelling of carbon substances obtaining, for instance, carbon fibers which have high fire resistance, has been realized on the example of the polyacrylonitrile pyrolysis modelling. The pyrolysis is considered as a double step process when the formation of a liquid phase and the oxidation of substance are excluded. Three main reactions are considered: a) with the evolution of ammonia; b) with the evolution of hydrogen cyanide; c) with the evolution of hydrogen. Reactions b) and c) are sequential, and a) and b) are parallel. The problem is formulated as one-dimensional. The equations of energy, masses or concentrations, porosity and thermal conductivity are proposed. The mathematical model of the carbonization process is designed using tile kinetic characteristics of the above reactions and the thermodynamic parameters of reagents and products in these reactions. The equations received are calculated by Runge-Cutta method and by Adams method of the fourth order accuracy.

• 한국건설순환자원학회논문집
• /
• 제5권4호
• /
• pp.488-495
• /
• 2017

본 연구에서는 열역학적 평형을 이용한 OPC의 재령에 따른 운동학적 수화 생성물 모델링과 GGBS의 치환률에 따른 수화 생성물의 변화를 모델링하였다. 열역학 데이터는 GEMS의 3rd party 데이터베이스, Cemdata18을 사용하였고, 시멘트 수화 모델링은 Parrot & Killoh 모델을 적용하였다. OPC모델링에서 재령에 따라 Pore solution의 이온 농도와 수화 생성물의 질량 및 부피 변화를 관찰할 수 있었다. GGBS모델링에서는 치환률이 증가함에 따라 장기강도를 지배하는 C-S-H의 생성량은 증가하지만, 내구성에 영향을 미치는 Portlandite의 생성량이 감소하여 탄산화에 대한 대책이 필요할 것으로 판단된다.

• 한국토양비료학회지
• /
• 제47권6호
• /
• pp.443-450
• /
• 2014

To determine Pb species in soils following the immobilization process, sequential extraction has been used despite the possibility of overestimating Pb species from unintended reactions during chemical extraction. Meanwhile, the application of extended X-ray absorption fine structure (EXAFS) has been shown to provide a more precise result than chemical extraction. In this study, the immobilization of Pb in contaminated soils treated with liming materials such as oyster shell (OS) or eggshell (ES) was evaluated with thermodynamic modelling and EXAFS analysis. Thermodynamic modelling by visual MINTEQ predicted the precipitation of $Pb(OH)_2$ in OS and ES treated soils. In particular, the values of saturation index (SI) for $Pb(OH)_2$ in OS (SI=0.286) and ES (SI=0.453) treated soils were greater than in the control soil (SI=0.281). Linear combination fitting (LCF) analysis confirmed the presence of $C_{12}H_{10}O_{14}Pb_3$ (lead citrate, 44.7%) by citric acid from plant root, Pb-gibbsite (Pb adsorbed gibbsite, 26.4%), and Pb-kaolinite (Pb adsorbed kaolinite, 20.3%) in the control soil. On the other hand, $Pb(OH)_2$ (16.8%), Pb-gibbsite (39.3%), and Pb-kaolinite (25.6%) were observed in the OS treated soil and $Pb(OH)_2$ (55.2%) and Pb-gibbsite (33.8%) were also confirmed in the ES treated soil. Our results indicate that the treatment with OS and ES immobilizes Pb by adsorption of Pb onto the soil minerals as a result of the increase in soil negative charge and the formation of stable $Pb(OH)_2$ under high pH condition of soils.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2007년도 추계종합학술대회
• /
• pp.246-249
• /
• 2007

상변화 물질을 취급하는 수치해석에서는 온도, 압력, 체적, 엔탈피, 엔트로피 등의 열역학적 성질들의 수치값이 필요하다. 그러나 열역학적 성질들은 증기표나 선도 등의 형태로 주어지기 때문에 그대로 이용할 수는 없고 모델링하여 사용하여야 한다. 본 연구에서는 2차 스플라인 보간법과 비교함으로써, 과열증기의 모델링에 신경회로망의 적용 가능성을 검토하였다. 신경회로망은 온도와 압력, 2개의 입력에 대하여 비체적, 엔탈피 및 엔트로피, 3개의 출력을 얻을 수 있도록 입력층, 은닉층 및 출력층으로 구성되었다. 스플라인 보간법은 2차 다항식을 사용하였으며, 주어진 압력에 대한 소구간의 온도에 적용하였다. 신경회로망 모델링은 많은 출력 범위에서 2차 스플라인 보간법보다 우수한 백분율 오차를 보였으며, 이 결과로부터 과열증기 모델링에 신경회로망이 아주 강력한 방법임을 확인하였다.