• Journal of the Korea Institute of Building Construction
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• v.8 no.6
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• pp.83-89
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• 2008

The stone sludge produced during the manufacturing process of stone blocks is considered as one of industrial waste materials. This stone sludge are managed to either burying under the ground or stacking in the yard, but this disposal process is required an extra costs. The stone sludge disposal like burying or stacking also cause environmental pollutions such as ground pollution and subterranean water pollution. Thus, this study was conducted to explore the possibility of recycling of stone dust sludge as a concrete mixing material in order to extend recycling methods and to solve the shortage of aggregate caused by recently increased demand in construction. Based on the experiment results on various ratios of cement to stone sludge content, the compressive strengths of concrete were recorded in the range of $20{\sim}30N/mm2$. The results did not show any decrease in compressive strength due to the stone dust content. It can be concluded that the stone sludge produced by stone block manufacturing can be sufficiently recycled as one of concrete mixing materials in the aspect of compressive strength.

• Proceedings of the International Microelectronics And Packaging Society Conference
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• 2005.09a
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• pp.67-88
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• 2005

Mold-Flow 3 Die Stack CSP of Mold array packaging with different Gate types. As high density package option such as 3 or 4 die stacking technologies are developed, the major concerning points of mold related qualities such as incomplete mold, exposed wires and wire sweeping issues are increased because of its narrow space between die top and mold surface and higher wiring density. Full 3D rheokinetic simulation of Mold flow for 3 die stacking structure case was done with the rheological parameters acquired from Slit-Die rheometer and DSC of commercial EMC. The center gate showed severe void but corner gate showed relatively better void performance. But in case of wire sweeping related, the center gate type showed less wire sweeping than corner gate types. From the simulation results, corner gate types showed increased velocity, shear stress and mold pressure near the gate and final filling zone. The experimental Case study and the Mold flow simulation showed good agreement on the mold void and wire sweeping related prediction. Full 3D simulation methodologies with proper rheokinetic material characterization by thermal and rheological instruments enable the prediction of micro-scale mold filling behavior in the multi die stacking and other complicated packaging structures for the future application.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2002.05a
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• pp.181-183
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• 2002

The accurate permeability for preform is critical to model and design the impregnation of fluid resin in the composite manufacturing process. In this study, the in-plane and transverse permeability for a woven fabric are predicted numerically through the coupled flow model which combines microscopic with macroscopic flow. The microscopic and macroscopic flow which are flows within the micro-unit and macro-unit cell, respectively, are calculated by using 3-D CVFEM(control volume finite element method). To avoid checker-board pressure field and improve the efficiency on numerical computation, A new interpolation function for velocity is proposed on the basis of analytic solutions. The permeability of plain woven fabric is measured through unidirectional flow experiment and compared with the permeability calculated numerically. Based on the good agreement of the results, the relationships between the permeability and the structures of preform such as the fiber volume fraction and stacking effect can be understood. The reverse and the simple stacking are taken in account. Unlike past literatures, this study is based on more realistic unit cell and the improved prediction of permeability can be achieved. It is observed that in-plane flow is more dominant than transverse flow in the real flow through preform and the stacking effect of multi-layered preform is negligible. Consequently, the proposed coupled flow model can be applied to modeling of real composite materials processing.

• Journal of the Korean Magnetics Society
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• v.6 no.4
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• pp.251-257
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• 1996

A coercivity of barium ferrite (BaM) tape was found to be higher than the coercivity of BaM powder, This difference is in the range of 50 Oe to 600 Oe, which depends on substituted cations. physical properties of powder, and preparation conditions of the tape. The coercivity difference is attributed to both particle stacking and adsorption of organic solvent on particle surface. Regardless of substituted cations, the coercivity of longitudinally oriented BaFe tape was higher than that of BaM powder by a range of 100 Oe to 120 Oe, which is caused by particle stacking' During the active adsorption process on preparation of magnetic paint, where MEK (methyl ethyl ketone), TOL (toluene) and CHO (cyclohexanone) were used, chemisorption of solvents on the surface of substituted BaFe particle occurred to form polymeric compounds surrounding the particle. An increase in coercivity, caused by the solvent adsorption, was significant for Co-substutited BaM tape. Among these solvents CHO was the most effective one in increasing the coercivity of the Co-Ti substituted BaM tape.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.1
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• pp.9-18
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• 2023

Predicting the compressive strength of high-performance concrete (HPC) is challenging because of the use of additional cementitious materials; thus, the development of improved predictive models is essential. The purpose of this study was to develop an HPC compressive-strength prediction model using an ensemble machine-learning method of combined bagging and stacking techniques. The result is a new ensemble technique that integrates the existing ensemble methods of bagging and stacking to solve the problems of a single machine-learning model and improve the prediction performance of the model. The nonlinear regression, support vector machine, artificial neural network, and Gaussian process regression approaches were used as single machine-learning methods and bagging and stacking techniques as ensemble machine-learning methods. As a result, the model of the proposed method showed improved accuracy results compared with single machine-learning models, an individual bagging technique model, and a stacking technique model. This was confirmed through a comparison of four representative performance indicators, verifying the effectiveness of the method.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.479-480
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.733-734
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• 2011

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.1 no.1
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• pp.66-73
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• 1991

During the growth of macroscopically dislocation-free Czochralski silicon crystal, micro precipitates causing stacking faults in the silicon wafer during the oxidation are formed Thermal history the cryscausing acquire during the growth process is known to be a key factor determining the nucleation of this micro precipitates. In this article, various mechanisms suggested on the formation of microdefects in the silicon crystal are reviewed to secure the nucleation mechanism of the micro precipitates causing OSF whose pattern is normally ring or annular in CZ silicon crytal. B-defects which are known as vacancy clustering are considered to be the heterogeneous nucleation sites for the micro precipitates causing OSF in the CZ silicon crystals.

• Journal of Powder Materials
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• v.10 no.5
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• pp.318-324
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• 2003

The nano-scale crystallite sizes of uranium oxide powders in simulated spent fuel were measured by the neutron diffraction line broadening method in order to analyze the sintering behavior of the dry process fuel. The mixed $UO_2$ and fission product powders were dry-milled in an attritor for 30, 60, and 120 min. The diffraction patterns of the powders were obtained by using the high resolution powder diffractometer in the HANARO research reactor. Diffraction line broadening due to crystallite size was measured using various techniques such as the Stokes' deconvolution, profile fitting methods using Cauchy function, Gaussian function, and Voigt function, and the Warren-Averbach method. The non-uniform strain, stacking fault and twin probability were measured using the information from the diffraction pattern. The realistic crystallite size could be obtained after separation of the contribution from the non-uniform strain, stacking fault and twin.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.7
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• pp.767-773
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• 1988

We have proposed a new simple and easy method for the observation of OSF growth and shrinkage. This method is to observe the behavior of OSF in thedamaged region during oxidation as well as annealing process after introducing mechanical damage on the silicon surface by pressure-controllable indentor. The effect of SiO2 layer on the shrinkage of pregrown OSF generated by the proposed method has been investigated using the samples with or without SiO2 layer. From the experimental data, we suggest a model for the shrinkage of OSF, which is based on the recombinaiton mechanism between silicon interstitial and vacancy at the Si-SiO2 interface.