• 대한환경공학회지
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• 제31권1호
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• pp.15-20
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• 2009

정수장에서 사용되고 있는 원형 물탱크내의 물은 잔류염소농도 0.1 mg/L 이상을 유지하여야 한다. 일반적으로 잔류염소 농도는 물탱크의 구조, 크기 그리고 물의 유량에 따라 다르다. 잔류염소농도는 염소의 확산시간을 최대한 확보하는 것이 가장 중요하며, 그것을 위하여 일반적으로 원형 물탱크내의 격벽을 설치한다. 본 연구에서는 수치해석을 이용한 유동해석을 수행하여 물과 염소의 농도분포를 구하였다. 유동해석 결과 격벽사이에서 유동내 와류가 발생하였으며, 격벽의 수가 증가할수록 염소가 물에 확산되는 시간을 확보할 수 있었다.

• 해양환경안전학회지
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• 제22권4호
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• pp.344-353
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• 2016

황해연안 조위관측소 10 개 지점에서 2013년 11월 24일 밤부터 25일 오전까지 관측한 해수면, 해면기압, 바람, 유동 자료뿐만 아니라 일기도를 분석하여 이상조위편차의 발생 원인과 관측자료들 간의 상호상관성을 알아보았다. 이상조위편차란 최대조위편차와 최소조위편차가 나타나는 시간동안 두 편차간의 차를 의미한다. 영종도의 최대조위편차는 111 cm, 최소조위편차는 -65 cm로, 4시간 1분 동안 176 cm의 이상조위편차를 보여 10개 조위관측소 가운데 가장 크다. 반면 모슬포의 이상조위편차는 8시간 52분 동안 약 68 cm로 가장 작다. 이 같은 이상조위편차는 기압점프에 의한 기상해일이 아니라 저기압에 의한 기압배치의 영향으로 바람에 의해 발생한 것으로 확인되었다. 각 지점에서 이상조위편차에 의한 흐름은 연평균 낙조류 세기의 16 ~ 41 %로 무시할 수 없을 정도이다. 조위편차, 바람, 조류잔차의 상호상관관계로부터 저기압의 중심이 한반도 서쪽에 가까이 위치해 있을 때 인천에서 남풍계열의 바람에 의한 북향류가 해수면을 상승시켰고, 한반도 통과 후 북풍계열의 바람에 의해 남향류가 해수면을 하강시켰다.

• 대한기계학회논문집A
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• 제29권2호
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• pp.341-349
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• 2005

Damage often occurs on the surface of railway wheel by wheel-rail contact fatigue. It should be removed before reaching wheel failure, because wheel failure can cause derailment with loss of life and property. The increase or decrease of the contact fatigue life by the metal removal of the contact surface were shown by many researchers, but it has not explained precisely why fatigue life increases or decreases. In this study, the effect of metal removal depth on the contact fatigue life for railway wheel has been evaluated by applying finite element analysis. It has been revealed that the residual stress and the plastic flow are the main factors determining the fatigue life. The railway wheel has the initial residual stress formed during the manufacturing process, and the residual stress is changed by thermal stress induced by braking. It has been found that the initial residual stress determines the amount of metal removal depth. Also, the effects of the initial residual stress and metal removal on the contact fatigue lift has been estimated, and an equation is proposed to decide the optimal metal removal depth for maximizing the contact fatigue life.

• 대한기계학회논문집A
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• 제27권1호
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• pp.77-87
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• 2003

The residual stress and birefringence in injection-molded plastic parts can be divided into the flow-induced residual stress and birefringence produced in flowing stage, the thermally-induced residual stress and birefringence produced in cooling stage. However, the physics involved in the generation of the thermally-induced residual stress and birefringence still remains to be understood. Because polymer experiences viscoelastic history near the glass-transition temperature it is hard to model the entire process. Volume relaxation phenomenon was included to predict the final thermally-induced residual stress and birefringence in quenched plastic parts more accurately. The present study focused on comparing the predicted values far thermally-induced residual stress and birefringence with and without volume relaxation behavior (or free volume theory) under free and constrained quenching conditions. As a result, tile residual stress remained as a tensile stress at the center and as a compressible stress near the surface for the free quenching cases. In contract the residual stress remained as a compressible stress at the center and as a tensile stress near the surface fur the constrained quenching cases. The residual birefringence remained as minus values at the center and as plus values near the surface for the free quenching cases. Interestingly the residual birefringence showed minus values in entire zone for the constrained quenching cases. In the prediction of birefringence only the case including free volume theory showed the correct result for the distribution of birefringence in thickness direction.

• Korea-Australia Rheology Journal
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• 제20권2호
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• pp.59-63
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• 2008

A theoretical model was developed to describe the flow behavior of a filled polymer in the packing stage of reaction injection molding and predict the residual stress distribution of thin injection-molded parts. The model predictions were compared with experiments performed for phenol-formaldehyde resin filled with wood dust and cured by urotropine. The packing stage of reaction injection molding process presents a typical example of complex non-isothermal flow combined with chemical reaction. It is shown that the time evolution of pressure distribution along the mold cavity that determines the residual stress in the final product can be described by a single 1D partial differential equation (PDE) if the rheological behavior of reacting liquid is simplistically described by the power-law approach with some approximations made for describing cure reaction and non-isothermality. In the formulation, the dimensionless time variable is defined in such a way that it includes all necessary information on the cure reaction history. Employing the routine separation of variables made possible to obtain the analytical solution for the nonlinear PDE under specific initial condition. It is shown that direct numerical solution of the PDE exactly coincides with the analytical solution. With the use of the power-law approximation that describes highly shear thinning behavior, the theoretical calculations significantly deviate from the experimental data. Bearing in mind that in the packing stage the flow is extremely slow, we employed in our theory the Newtonian law for flow of reacting liquid and described well enough the experimental data on evolution of pressure.

• 열처리공학회지
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• 제32권5호
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• pp.201-211
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• 2019

Low carbon steel (S20C steel) and SPCC steel sheet have been austenitic nitrided at $700^{\circ}C$ in a closed pit type furnace by changing the flow rate of ammonia gas and heat treating time. When the flow rate of ammonia gas was low, the concentration of residual ammonia appeared low and the hardness value of transformed surface layer was high. The depth of the surface layer, however, was shallow. With increasing the concentration of residual ammonia by raising up the ammonia gas flow, both the depth of the surface layer and the pore depth increased, while the maximum hardness of the surface layer decreased. By introducing a large amount of ammonia gas in a short time, a deep surface layer with minimal pores on the outermost surface was obtained. In this experiment, while maintaining 10~12% of residual ammonia, the flow rate of inlet ammonia gas, 7 liter/min, was introduced at $700^{\circ}C$ for 1 hour. In this condition, the thickness of the surface layer without pores appeared about $60{\mu}m$ in S20C steel and $30{\mu}m$ in SPCC steel plate. Injecting additional methane gas (carburizing gas) to this condition played a deteriorating effect due to promoting the formation of vertical pores in the surface layer. For $1^{st}$ transformed surface layer for S20C steel, maintaining 10~12% residual ammonia condition via austenitic nitriding process resulted in ${\varepsilon}$ phase with relatively high nitrogen concentration (just below 4.23 wt.%N) among the mixed phases of ${\varepsilon}+{\gamma}$. The ${\varepsilon}$ phase was formed a specific orientation perpendicular to the surface. For $2^{nd}$ transformed layer for S20C steel, ${\gamma}$ phase was rather dominant (just above 2.63 wt.%N). For SPCC steel sheet, there appeared three phases, ${\gamma}$, ${\alpha}(M)$ and weak ${\varepsilon}$ phase. The nitrogen concentration would be approximately 2.6 wt.% in these phases condition.

• 한국지반신소재학회논문집
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• 제10권2호
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• pp.1-12
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• 2011

조립재료의 입자 결합 및 파쇄 형태가 전단거동 특히 잔류 전단거동 특성에 미치는 영향을 분석하기 위하여, 개별요소법(DEM, discrete element method)에 기초를 둔 프로그램인 PFC(Particle Flow Code)를 이용하여 링 전단시험을 수치해석적으로 모델링하였다. 본 연구에서는 PFC내의 clump 모델 및 cluster 모델을 이용하여 두 개의 비파쇄모델 그리고 두 개의 파쇄모델을 포함한 총 네 개의 모델을 제시하였다. Lobo-Guerrero and Vallejo(2005)가 제안한 Lobo-crushing 모델의 적합성을 검토하였다. 또한 링 전단시험 모델링의 결과 분석을 통하여 직접전단시험 모델링 결과와 비교하였다. 연구 결과, 잔류 전단거동 분석을 위해서는 링 전단시험의 모델링이 필수적임을 알 수 있었다. 또한 잔류 전단강도 분석을 위해서는 Lobo-crushing 모델이 부적합함을 알 수 있었다. 따라서 본 연구에서 제시한 수치해석 모델은 향후 입자 파쇄를 포함한 조립재료의 잔류 전단강도 특성 연구에 다양하게 적용될 수 있다고 판단된다.

• 대한기계학회논문집A
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• 제27권4호
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• pp.507-514
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• 2003

Most of CAE analyses for injection molding have been based on the Mele Shaw's approximation: two-dimensional flow analysis. in some cases, that approximation causes significant errors due to loss of the geometrical information as well as simplification of the flow characteristics in the thickness direction. Although injection molding analysis software using three-dimensional solid elements has been developed recently, such as Moldflow Flow3D, it does not contain a deformation analysis function yet. The present work covers three-dimensional deformation analysis or injection molded plastic parts using solid elements. A numerical scheme for deformation analysis has bun proposed from the results of injection molding analysis using Moldflow Flow3D. The accuracy of the proposed approach has been verified through a numerical analysis of rectangular plates with various thicknesses in comparison with the classical shell-based approach. In addition, the reliability of the approach has also been proved through an industrial example. an optical plastic lens, in comparison of real experiments.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.237-245
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• 2022

The prominence of IoTs (Internet of Things) and exponential advancement of computer networks has resulted in massive essential applications. Recognizing various cyber-attacks or anomalies in networks and establishing effective intrusion recognition systems are becoming increasingly vital to current security. MLTs (Machine Learning Techniques) can be developed for such data-driven intelligent recognition systems. Researchers have employed a TFDNNs (Tensor Flow Deep Neural Networks) and DCNNs (Deep Convolution Neural Networks) to recognize pirated software and malwares efficiently. However, tuning the amount of neurons in multiple layers with activation functions leads to learning error rates, degrading classifier's reliability. HTFDNNs ( Hybrid tensor flow DNNs) and MRNs (Modified Residual Networks) or Resnet CNNs were presented to recognize software piracy and malwares. This study proposes HTFDNNs to identify stolen software starting with plagiarized source codes. This work uses Tokens and weights for filtering noises while focusing on token's for identifying source code thefts. DLTs (Deep learning techniques) are then used to detect plagiarized sources. Data from Google Code Jam is used for finding software piracy. MRNs visualize colour images for identifying harms in networks using IoTs. Malware samples of Maling dataset is used for tests in this work.

• 폴리머
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• 제36권2호
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• pp.131-136
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• 2012

사출성형품은 성형 중 온도변화와 전단응력에 의해 잔류응력이 형성된다. 이 잔류응력으로 인해 짧게는 하루 이내에 길게는 수 년 이상 시간이 흐른 뒤 변형과 뒤틀림 등이 발생될 수 있다. 따라서 잔류응력 최소화를 위한 사출성형조건 및 사출성형품의 열처리가 요구된다. 본 논문에서는 투명한 사출성형품을 어닐링 조건 즉, 상대습도와 온도, 그리고 어닐링 시간을 변화시켜가며 각 어닐링 조건이 잔류응력 해소에 미치는 영향을 조사하였다. 상대습도가 작을 경우 잔류응력의 해소가 매우 적었으나 상대습도 50% 이상에서는 그 영향이 크게 작용하였다. 또한 유리전이온도 부근에서 어닐링 시 매우 빠른 잔류응력 해소를 보였으며 이는 광탄성 장치를 통하여 관찰할 수 있었다. 상대 습도보다는 어닐링 온도가 잔류응력 해소에 더 큰 영향을 미치고 있음을 확인할 수 있다. 시편에서 잔류응력이 해소되면서 시편에서 수지의 흐름방향으로는 수축이, 흐름의 직각방향으로는 팽창이 발생하여 변형이 일어나는 것이 관찰되었다. 어닐링 시 제품의 변형을 최소화 하기 위해서는 지그나 고정구로 시편을 구속한 환경에서 어닐링이 필요할 것으로 판단되었다.