• Proceedings of the Korea Concrete Institute Conference
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• 2002.10a
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• pp.549-554
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• 2002

In Powder System, SCC demands high dosage of superplasticizer and a lage amout of powder for suitable fluidity and viscosity. Okamura's method of most representative mixing design method in SCC of Powder-System is unfavorable economically because of using a large amount of powder. In addition, many ready-mixed concrete plants do not use his mix design method and procedure due to complexity for practical application. Therefore, Nan Su proposed more simple mix design method than Okamura's. It had an advantage in simplicity in practical application and required a smaller amount of powders compared with Okamura's method. This paper proposed an optimal mixture proportion of SCC with consideration of Nan Su's method. The new and modified mix design method required a smaller amount of powder than that of Nan Su's. To check the properties of SCC, considered with the requirements specified by the Japanese Society of Civil Engineering.(JSCE)

• Journal of the Korean Society for Precision Engineering
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• v.15 no.2
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• pp.99-106
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• 1998

In this paper, we have constructed an expert system for semiconductor chip encapsulation which combines a knowledge-based system with CAE software. The knowledge-base module includes heuristic and pre analysis knowledge for evaluation and redesign. Evaluation of the initial design and generation of redesign recommendations can be developed from the rules as applied to a given chip package. The CAE programs can be used for simulating the filling and packing stage of encapsulation process. The expert system is a new tool which enables package design or process conditions with high yields and high productivity.

• 한국금형공학회:학술대회논문집
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• 2008.06a
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• pp.175-181
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• 2008

The technologies of mold design, manufacturing, injection molding process and computer aided engineering(CAE) are developed rapidly with the growth of plastic product market. Injection molding process optimum design can not be easily determined. This study was determined factors and levels which carried out to analyze an influence of narrow pitch BGA socket warpage and performed investigating the main effect and interaction effect between factors using design of experiment. The result of this paper is injection time and packing pressure are affect on narrow pitch BGA socket warpage at injection molding.

• Design & Manufacturing
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• v.6 no.1
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• pp.67-72
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• 2012

Most of the plastics products have been manufactured by injection molding. Molding trouble in injection-molded parts is caused by changing a molding product and molding process condition, etc. In this study, warpage in the injection molded part have been studied. Specimens are rectangular flat shape with and without ribs. Non-crystalline resins (ABS+GF30%, PC+GF30%) and crystalline resins (PP+GF30%, PA66+GF30%) were used for material. Flat shape ribs showed higher warpage than flat shape without rib by 10 to 41%. the specimens with ribs that are located parallel to flow direction has higher warpage than the specimens with rib that are located perpendicular to flow direction by 11 to 50%. crystalline resins have higher warpage than non-crystalline resins by 22 to 78%. Warpage decreases as packing time increases as injection temperature increases.

• Culinary science and hospitality research
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• v.23 no.8
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• pp.17-26
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• 2017

This study compared and analyzed the importance-satisfaction regarding the selection attributes of the convenience store focusing on PB lunch box for consumers of 20s and 30s. According to the research results, the importance of factors such as easy purchase, time reduction, convenient intake were found to be high among the selection attributes of the convenience store PB lunchbox and those of factors such as confirmation of food ingredients, nutrition, and new taste were found to be relatively low. In addition, factors with high satisfaction included easy purchase, convenient intake, time reduction, while factors with low satisfaction were confirmation of food ingredients, nutrition and hygiene. The results of the IPA analysis were as follows: The $1^{st}$ quadrant (Keep up the good work) included convenience, time reduction, easy purchase, convenient intake, convenient cooking method, and convenient packing container Etc. $2^{nd}$ quadrant (possible overkill) includes origin labeling and the 3rd quadrant (low priority) includes packing container design, convenient storage, consistency of quality and taste, good taste, moderate amount, new taste, one meal, moderate quantity and quality, inexpensive intake, and hygiene Etc. $4^{th}$ quadrant was found to include no corresponding factors.

• Design & Manufacturing
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• v.16 no.3
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• pp.1-8
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• 2022

In this study, an artificial neural network(ANN) was constructed to establish the relationship between process condition prameters and the qualities of the injection-molded product in the injection molding process. Six process parmeters were set as input parameter for ANN: melt temperature, mold temperature, injection speed, packing pressure, packing time, and cooling time. As output parameters, the mass, nominal diameter, and height of the injection-molded product were set. Two learning structures were applied to the ANN. The single-task learning, in which all output parameters are learned in correlation with each other, and the multi-task learning structure in which each output parameters is individually learned according to the characteristics, were constructed. As a result of constructing an artificial neural network with two learning structures and evaluating the prediction performance, it was confirmed that the predicted value of the ANN to which the multi-task learning structure was applied had a low RMSE compared with the single-task learning structure. In addition, when comparing the quality specifications of injection molded products with the prediction values of the ANN, it was confirmed that the ANN of the multi-task learning structure satisfies the quality specifications for all of the mass, diameter, and height.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.33
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• pp.161-171
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• 1995

When physical distribution cost can be correctly measured, its management can also be efficient. Thus the primary objective of the study is to develop systems for measuring correctly physical distribution cost. The systems have two aspects : the One is the consumption of the resourses(materials, labor service, the other services), the other is the creation of physical distribution services(transportation, storage, cargo, packing, distribution conversion, management). By measuring the cost through the systems, the commoditization of the physical distribution services is possible and measurement of the cost and revenue can also be reasonable ,which makes its management efficient.

• Plant Journal
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• v.14 no.4
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• pp.33-38
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• 2018

In this study, it was confirmed whether the cooling water bypass ratio of packing for plume abatement matched designed value during winter operation of combined cycle power plant. Designed operating wet bulb temperature of the plume abatement cooling tower with 29 Gcal/h capacity had a range from $13^{\circ}C$ to $-20^{\circ}C$, while its designed bypass ratio was from 0 % to 78%, so that increasing rate of the designed bypass ratio was $2.36%/^{\circ}C$ when the external temperature decreased. When the wet bulb temperature at cooling tower inlet had a range from $7.8^{\circ}C$ to $-11.8^{\circ}C$ in a normal operation, it was measured that actual bypass ratio of packing for plume abatement had a range from 23.8 % to 74.3%. While increasing rate of the actual bypass ratio was $2.71%/^{\circ}C$ in a range from $7.8^{\circ}C$ to $-9.55^{\circ}C$, it was $1.61%/^{\circ}C$ under $-10^{\circ}C$ in cold weather condition according to atmospheric temperature drop, therefore it was confirmed that the increasing rate of the bypass ratio for packing was lowered than its design.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.264-268
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• 2003

Recently reduction of industrial products in size and weight has been increased by application of micro-drills in gadgets of high precision and a great interest of a micro-drilling has been raised. Due to the lack of tool stiffness and the chip packing, the micro-drilling requires not only the robust tool structure which has not affected by vibration but also effective drilling methods designed to prevent tool fracture from cutting troubles. This paper presents an optimum design shape of a 0.15 mm micro-drill associated with a new manufacturing process to improve the production rate and to lengthen the tool life and suggestions on the micro-drilling characteristic properties associated with the tool life and workpiece quality.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.6
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• pp.55-60
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• 2020

The injection molding technique is a processing method widely used for the production of plastic parts. In this study, the gate position, gate size, packing time, and melt temperature were optimized to minimize both the stress and deformation that occur during the injection molding process of medical suction device components. We used a central composite design and Latin hypercube sampling to acquire the data and adopted the response surface method as an approximation method. The efficiency of the optimization of the injection molding problem was determined by comparing the results of a genetic algorithm, sequential quadratic programming, and a non-dominant classification genetic algorithm.