• Transactions of Materials Processing
• /
• v.14 no.4 s.76
• /
• pp.384-391
• /
• 2005

The nickel-based alloy Nimonic 80A possesses the excellent strength, and the resistance against corrosion, creep and oxidation at high temperature. Its products are used in aerospace engineering, marine engineering and power generation, etc. Control of forging parameters such as strain, strain rate, temperature and holding time is important because change of the microstructure in hot working affects the mechanical properties. Change of the microstructure evolves by recovery, recrystallization and grain growth phenomena. The dynamic recrystallization evolution has been studied in the temperature range of $950\~1250^{\circ}C$ and strain rate range of $0.05\~5s^{-1}$ using hot compression tests. The metadynamic recrystallization and grain growth evolution has been studied in the temperature range of $950\~1250^{\circ}C$ and strain rate range $0.05,\;5s^{-1}$, holding time range of 5, 10, 100, 600 sec using hot compression tests. Modeling equations are proposed to represent the flow curve, recrystallized grain size, recrystallized fraction and grain growth phenomena by various tests. Parameters in modeling equations are expressed as a function of the Zener-Hollomon parameter. The modeling equation for grain growth is expressed as a function of the initial grain size and holding time. The modeling equations developed were combined with thermo-viscoplastic finite element modeling to predict the microstructure change evolution during hot forging process. The grain size predicted from FE simulation results is compared with results obtained in field product.

• International Journal of Vascular Biomedical Engineering
• /
• v.2 no.1
• /
• pp.17-24
• /
• 2004

Tumor angiogenesis was simulated using a two-dimensional computational model. The equation that governed angiogenesis comprised a tumor angiogenesis factor (TAF) conservation equation in time and space, which was solved numerically using the Galerkin finite element method. The time derivative in the equation was approximated by a forward Euler scheme. A stochastic process model was used to simulate vessel formation and vessel elongation towards a paracrine site, i.e., tumor-secreted basic fibroblast growth factor (bFGF). In this study, we assumed a two-dimensional model that represented a thin (1.0 mm) slice of the tumor. The growth of the tumor over time was modeled according to the dynamic value of bFGF secreted within the tumor. The data used for the model were based on a previously reported model of a brain tumor in which four distinct stages (namely multicellular spherical, first detectable lesion, diagnosis, and death of the virtual patient) were modeled. In our study, computation was not continued beyond the 'diagnosis' time point to avoid the computational complexity of analyzing numerous vascular branches. The numerical solutions revealed that no bFGF remained within the region in which vessels developed, owing to the uptake of bFGF by endothelial cells. Consequently, a sharp, declining gradient of bFGF existed near the surface of the tumor. The vascular architecture developed numerous branches close to the tumor surface (the brush-border effect). Asymmetrical tumor growth was associated with a greater degree of branching at the tumor surface.

• Journal of the Korean Society for Railway
• /
• v.12 no.1
• /
• pp.16-24
• /
• 2009

In this study, fatigue crack growth rate of a cracked railway bogie frame under variable amplitude loading is predicted by applying linear elastic fracture mechanics. For this purpose, we find the critical points by reference surveying on cracked railway bogie frames. And we make an effective load history by synthesizing the dynamic load measured from the critical points of railway bogie frame during commercial line operation and the static load calculated from structural analysis. Crack growth analyses are performed at the 3 critical points under the commercial operation loading condition by assuming an initial crack size as 40 mm. and the results are compared with the experimental results from Japanese railway bogie frame crack growth case. From the analysis results, we find that around 500,000 km operating distance is necessary to bring crack growth from the initial crack to unstable crack. And it takes around 3.8 normal operating years. We conclude that it is enough time to detect the crack between normal maintenance period.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.7 no.3
• /
• pp.118-125
• /
• 2004

The purpose of this study is to decide an appropriate neighborhood and a transition rule of cellular automata by analyzing the past growth process of urban areas in Gimhae. With cellular automata which can manage the change based on the dynamic model and time, this study analyzes the urban growth of Gimhae from 1987 to 2001. Also, through the simulation of different types for neighborhood and transition rules, we can find the appropriate neighborhood and the transition rule for Gimhae. In conclusion, the forecast of physical urban growth pattern is more accurate under conditions when the number of matrixes for the neighborhood is small, the shape of the neighborhood is rectangular, "${\alpha}$" value, which control the pace of urban growth, is low and the transition possibility ($P_{ij}$) is high.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.1
• /
• pp.102-108
• /
• 2010

With gradual growth of digital image contents industry connected with computer graphics technology, users require high-quality animations similar to real world and want to observe the type of fishes or their swimming types through cyber aquarium and fish encyclopedia. This study designed and developed fish growth process system to express natural and dynamic movement of fish, which is the critical in expressing submarine environment. This system proposes new mopping technique not presented in existing mopping studies as well as simulation using algorithm that newly supplemented existing fish swimming types. In addition, disease infection status is realistically expressed, which may occur depending on environmental factors during their growth process. With comprehensive fish studies, different from existing fish studies, this study examines the overall features of fish with realistic simulation.

• Korean Journal of Remote Sensing
• /
• v.36 no.1
• /
• pp.15-27
• /
• 2020

Accurate knowledge of land use/land cover (LULC) features and their relative changes over upon the time are essential for sustainable urban management. Urban sprawl growth has been always also a worldwide concern that needs to carefully monitor particularly in a developing country where unplanned building constriction has been expanding at a high rate. Recently, remotely sensed imageries with a very high spatial/spectral resolution and state of the art machine learning approaches sent the urban classification and growth monitoring to a higher level. In this research, we classified the Quickbird satellite imagery by object-based image analysis of Dempster-Shafer (OBIA-DS) for the years of 2002 and 2015 at Karbala-Iraq. The real LULC changes including, residential sprawl expansion, amongst these years, were identified via change detection procedure. In accordance with extracted features of LULC and detected trend of urban pattern, the future LULC dynamic was simulated by using land transformation model (LTM) in geospatial information system (GIS) platform. Both classification and prediction stages were successfully validated using ground control points (GCPs) through accuracy assessment metric of Kappa coefficient that indicated 0.87 and 0.91 for 2002 and 2015 classification as well as 0.79 for prediction part. Detail results revealed a substantial growth in building over fifteen years that mostly replaced by agriculture and orchard field. The prediction scenario of LULC sprawl development for 2030 revealed a substantial decline in green and agriculture land as well as an extensive increment in build-up area especially at the countryside of the city without following the residential pattern standard. The proposed method helps urban decision-makers to identify the detail temporal-spatial growth pattern of highly populated cities like Karbala. Additionally, the results of this study can be considered as a probable future map in order to design enough future social services and amenities for the local inhabitants.

• Nuclear Engineering and Technology
• /
• v.48 no.4
• /
• pp.859-869
• /
• 2016

Component-scale modeling of boiling is predominantly based on the Eulerian-Eulerian two-fluid approach. Within this framework, wall boiling is accounted for via the Rensselaer Polytechnic Institute (RPI) model and, within this model, the bubble is characterized using three main parameters: departure diameter (D), nucleation site density (N), and departure frequency (f). Typically, the magnitudes of these three parameters are obtained from empirical correlations. However, in recent years, efforts have been directed toward mechanistic modeling of the boiling process. Of the three parameters mentioned above, the departure diameter (D) is least affected by the intrinsic uncertainties of the nucleate boiling process. This feature, along with its prominence within the RPI boiling model, has made it the primary candidate for mechanistic modeling ventures. Mechanistic modeling of D is mostly carried out through solving of force balance equations on the bubble. Forces incorporated in these equations are formulated as functions of the radius of the bubble and have been developed for, and applied to, low-pressure conditions only. Conversely, for high-pressure conditions, no mechanistic information is available regarding the growth rates of bubbles and the forces acting on them. In this study, we use direct numerical simulation coupled with an interface tracking method to simulate bubble growth under high (up to 45 bar) pressure, to obtain the kind of mechanistic information required for an RPI-type approach. In this study, we compare the resulting bubble growth rate curves with predictions made with existing experimental data.

• Archives of design research
• /
• v.13 no.3
• /
• pp.221-234
• /
• 2000

This thesis aims to study the space concept of the constructive mode in the work space of the postmodernism artists since 1970s. According to the changing view of the world artists, they are searching for the characteristics of having the parameter of formative organization on how they are related to the constructive system which represents the work styles. First, this study searches for the theoretical approaches of the constructive system and parameters that were studied by Le Corbusier - the module concept as the meaning of order system being used for the basic formative construction Second, when it is regarded as a formative construction in making art as the'principles of organization'(the law of living form), which was defined by Suzanne Langer in the formative theory as the organized structure shown in growth structure in mu and ecological system, the principles governing the module rules were arthmetically analysed art-work space through the dynamic symmetry of Jay Hambidge. Therefore, this study shows the principles working on the parameters for new formative organization as follows: First, the module in the work space should be designed and built from the dynamic symmetry. Second, the module should satisfy the human needs that it must be acceptable, efficient, flexible, which are the necessary and sufficient condition for the dynamic symmetry. Third, the dynamic symmetry which has the principle of Reciprocity and the principle of Complement as its primary construction principle has the common properties and the reciprocity in the construction of the work space and when it has the self similarity, it segments organically the total space without damaging the continuum.

• Environmental and Resource Economics Review
• /
• v.18 no.1
• /
• pp.53-73
• /
• 2009

This study examines the existence of ${\beta}$-convergence of carbon dioxide emissions in 24 countries over the period 1971~2002. For that purpose, The model of economic growth developed by Barro and Sala-i-Martin (1995) is extended and conducted Dynamic panel analysis and unit root testing by employing the panel stationarity test of Levin et al. (2002) and 1m et al. (2003). A dynamic panel estimation is well known method including capacity to control for both the endogeneity problem and the unobserved country-specific effects problem. Dynamic panel estimation method has been widely used in similar empirical studies. therefore, we also used the dynamic panel estimation method in our estimation. The result show that evidence of ${\beta}$-convergence exists among both the Obligatory GHG reduction countries (Annex) and the Non-obligatory GHG reduction countries (Non-Annex). but China discharge amount of $CO_2$ gas more than any other country. This fact can cause some bias in overall test. and so we reexamined test of convergence for Non-annex countries excluding china. As expected, in the Non-annex countries excluding china, I couldn't find any evidence of convergence.

• Journal of Environmental Policy
• /
• v.10 no.4
• /
• pp.3-37
• /
• 2011

This paper investigates the existence of the environmental Kuznets curve (EKC) for carbon dioxide $CO_2$ emissions and its causal relationships with economic growth and openness by using time series data (1971-2006) from China (an emerging market), Korea (a newly industrialized country), and Japan (a developed country). The sample countries span a whole range of development stages from industrialized to newly industrialized and emerging market economies. The environmental consequences according to openness and economic growth do not show uniform results across the countries. Depending on the national characteristics, the estimated EKC show different temporal patterns. China shows an N-shaped curve while Japan has a U-shaped curve. Such dissimilarities are also found in the relationship between $CO_2$ emissions and openness. In the case of Korea, and Japan it represents an inverted U-shaped curve while China shows a U-shaped curve. We also analyze the dynamic relationships between the variables by adopting a vector auto regression or vector error correction model. These models through the impulse response functions allow for analysis of the causal variable's influence on the dynamic response of emission variables, and it adopts a variance decomposition to explain the magnitude of the forecast error variance determined by the shocks to each of the causal variables over time. Results show evidence of large heterogeneity among the countries and variables impacts.