• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2008년도 춘계학술대회 논문집
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• pp.297-300
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• 2008

High pressure is involved during injection molding operation specially packing phase. Cracks in the mold are often occurred by high cavity pressure. In this study, structural analysis of mold has been performed using commercial softwares, Abaqus and Ansys, to investigate cause of crack in the injection mold. Structural analysis contains four cases: stress distribution according to the cavity pressure, stress concentration according to the boundary conditions, stress concentration for inter-locking design of mold, and stress concentration for distributed cavity pressure. Through this study it was observed that the locations of stress concentrations were coincident with locations of crack. Robust mold design is being required to withstand high cavity pressure.

• Fibers and Polymers
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• 제7권4호
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• pp.404-413
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• 2006

This study examines multiple quality optimization of the injection molding for Polyether Ether Ketone (PEEK). It also looks into the dimensional deviation and strength of screws that are reduced and improved for the molding quality, respectively. This study applies the Taguchi method to cut down on the number of experiments and combines grey relational analysis to determine the optimal processing parameters for multiple quality characteristics. The quality characteristics of this experiment are the screws' outer diameter, tensile strength and twisting strength. First, one should determine the processing parameters that may affect the injection molding with the $L_{18}(2^1{\times}3^7)$ orthogonal, including mold temperature, pre-plasticity amount, injection pressure, injection speed, screw speed, packing pressure, packing time and cooling time. Then, the grey relational analysis, whose response table and response graph indicate the optimum processing parameters for multiple quality characteristics, is applied to resolve this drawback. The Taguchi method only takes a single quality characteristic into consideration. Finally, a processing parameter prediction system is established by using the back-propagation neural network. The percentage errors all fall within 2%, between the predicted values and the target values. This reveals that the prediction system established in this study produces excellent results.

• KIEE International Transactions on Electrophysics and Applications
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• 제12C권4호
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• pp.229-235
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• 2002

The apparent volume resistivity of powders measured by both the tapping and the compressing methods was compared in this study. Factors such as applied voltage, pressure, corona charging, and so on affecting the apparent volume resistivity of polymer powders were also examined experimentally. Powders of polyacrylonitrile and Nylon 11 were mainly used. The values of the apparent resistivity of polymer powders taken by the tapping method turned out to be larger than those taken by the compressing method, which indicates that the apparent volume resistivity of polymer powders depends strongly on the measurement method. The apparent resistivity of polymer powders increased with an increase in applied voltage while it decreased with an increase in pressure, tapping time, and particle size. The influence of the moisture content of powder and corona charging on the resistivity of polymer powders is also discussed.

• 소성∙가공
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• 제29권4호
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• pp.218-228
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• 2020

The prediction of final mass and optimized process conditions of injection molded products using Artificial Neural Network (ANN) were demonstrated. The ANN was modeled with 10 input parameters and one output parameter (mass). The input parameters, i.e.; melt temperature, mold temperature, injection speed, packing pressure, packing time, cooling time, back pressure, plastification speed, V/P switchover, and suck back were selected. To generate training data for the ANN model, 77 experiments based on the combination of orthogonal sampling and random sampling were performed. The collected training data were normalized to eliminate scale differences between factors to improve the prediction performance of the ANN model. Grid search and random search method were used to find the optimized hyper-parameter of the ANN model. After the training of ANN model, optimized process conditions that satisfied the target mass of 41.14 g were predicted. The predicted process conditions were verified through actual injection molding experiments. Through the verification, it was found that the average deviation in the optimized conditions was 0.15±0.07 g. This value confirms that our proposed procedure can successfully predict the optimized process conditions for the target mass of injection molded products.

• 한국세라믹학회지
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• 제53권5호
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• pp.563-567
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• 2016

The structural properties of $HfO_2$ films could be improved by thermal treatment owing to their crystallization. We deposited $HfO_2$ films on sapphire by radio frequency (RF) magnetron sputtering, whose base vacuum pressure was lower than $4.5{\times}10^{-6}$ Pa, RF power was 100 W, working temperature was $200^{\circ}C$, working pressure was 3 mTorr, and the density of the active gas (Argon) was 20 sccm. After depositing the $HfO_2$ films, the samples were thermally treated by rapid thermal annealing (RTA) in $O_2$ ambient at different temperatures. Subsequently, the measured physical properties (structural, morphological, and optical) indicated that the crystallite size, refractive index at a wavelength of 632 nm, and packing density increased with rising temperatures. In particular, an $HfO_2$ film thermally treated at $800^{\circ}C$ in $O_2$ ambient had the highest refractive index of 2.0237 and packing density of 0.9638. The relation between optical and structural properties was also analyzed.

• Design & Manufacturing
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• 제2권1호
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• pp.39-43
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• 2008

There occur not only many problems in the injection process but also low quality productivity due to the injection conditions of various injection factors. Injection molding process factors such as molding temperature, injection pressure, flow rate and flow velocity, must be controlled properly in filling and packing phases in the injection molding process. In this study, effects of these factors on the injection molding were investigated through the flow analysis for the holding pressure affecting cooling time. Results of this study would be helpful to setting of holding pressure for optimization of forming condition in order to reduce cooling time in injection molding.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제27권6호
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• pp.560-564
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• 2001

The experienced surgeon can be surprised & challenged by the hazards of active bleeding during oral & maxillofacial surgical procedure, because of alterations in the surgical anatomy, bleeding disorders and surgical intervention of infected tissues. This is a report of two cases of active bleeding during surgical extraction of mandibular third molar, that had the pericoronitis, osteitis and adjacent neurovascular bundle in its apex. When the abrupt active bleeding was occurred during surgical extraction of mandibular third molar, pressure packing by hemostatie agent(bone wax) & wet gauze biting were applied into the extraction socket during 30 minutes. After 30 minutes, the wound was explored about the bleeding and active bleeding was then continued. In spite of repeated bleeding control method of the pressure dressing, the marked hemorrhage was generated continuously. Therefore, the author decised the bleeding as immediately uncontrollable hemorrhage and the pressure dressing was again applied for the more longer duration without wound closure. After 3 days, the pressure dressing was removed and iodoform gauze drainge was then established without the bleeding. The drain was changed as the interval of 3~5 days for prevention of infection & secondary hemorrhage and relatively good wound healing was then resulted in 6 weeks.

• 자원리싸이클링
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• 제7권4호
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• pp.27-34
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• 1998

본 연구에서는 NiCuZn Ferrite(NCZF) 제조공정의 제어에 대하여 연구하였다. $700^{\circ}C$, 3시간 하소한 NCZF를 약 60시간 볼밀링하여 약 $0.5\mu\;extrm{m}$ 입자크기로 분쇄한 후 분무 건조하여 과립화하였다. NCZF의 충전율에 따른 겉보기 고화속도 및 초기투자율에 미치는 영향을 조사한 결과 다음과 같은 결과를 얻었다. 1. 성형압력 유지시간 1분에서 성형압력을 약 20~170 ㎫로 변화시켜 제조한 NCZF 토로이달 상의 출발시편은 성형압이 증가하면서 입자의 충전율은 48.6%에서 56.8%로 증가하였다. 2. 일정 소성온도에서 NCZF의 충전율이 높아질수록 고화속도가 높아지고, 일정 성형압력에서 소성온도가 높아질수록 NCZF의 겉보기 고화속도는 빨라졌다. NCZF의 충전율과 소성온도가 높고, 소성시간이 길어지면 bulk density는 증가하였다. 3. 고정된 조성에서 소성온도($875~925^{\circ}C$)와 소성시간(0~5시간)의 조합에 의해 제조된 NCZF의 초기투자율은 bulk density와 semi-log상에서 직선적인 비례관계를 가지며 NCZF입자의 충전율에 크게 의존하였다. NCZF입자의 충전율과 이들을 소성하였을 때의 bulk density를 알면 초기투자율을 예측할 수 있었다. log $\mu$i=$G1{\times}BD$+$G2{\times}충전율$+b(0), G1;0.8394, G2;-3.6233, (b);0.7053.

• 한국공작기계학회논문집
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• 제15권1호
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• pp.108-112
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• 2006

A Study of birefringence in an aspheric lens of injection molding became more important to improve its optical properties. In the present study, the experimental study was carried out to investigate the relationship between birefringence and injection molded conditions. The processing factors are conditions include packing pressure, packing time, injection speed, melt temperature of optical resin and wall temperature. Birefringence was observed figures by using a polarizer in light. This experiments were carried out using the simulation software and injection molding machine.

• 소성∙가공
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• 제15권9호
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• pp.641-647
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• 2006

During the injection molding process an excessive packing can occur in the smaller volume cavity because of volumetric difference of the family-mold. It causes warpage by increased residual stress in the product and flesh by over packing. In this study, we used a variable-runner system for the filling balance of the cavities by changing the cross-sectional area of a runner, and confirmed the filling imbalance by temperature and pressure sensors. We carried out experiments to examine the influence of types of resins such as LDPE/ABS/PA6,6 on the filling balancing of the system, in order to help mold designers, who can easily adopt the variable-runner system to their design. We also examined filling imbalance in the system with CAE analysis.