• 유체기계공업학회:학술대회논문집
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• 2006.08a
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• pp.345-348
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• 2006

In sheet metal forming process using press and draw die some defect can be made because of the high pressure of air pocket between draw die and the product. The purpose of this study is to develop a program to decide an optimal combination of air vent hole size and number to prevent those defect on product. The air inside air pocket is considered as ideal gas and the compression and expansion is assumed as isentropic process. The mass flow is computed in two flow condition: unchocked and chocked condition. The present computation obtains required cross-sectional area of air vent hole for not exceeding the user specified pressure such as the pressure for yielding strength of the product or the pressure for unchocked flow. To validate the program the present results are compared with the results of other researchers and commercial CFD code.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.292-297
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• 2013

Nowadays, a strategy of the self-optimizing machining process is an imperative approach to improve the product quality and increase productivity of manufacturing systems. This paper presents a concept of self-optimizing forming system that allows the forming system automatically to adjust the forming parameters online for guarantee the product quality and avoiding the machine stop. An intelligent monitoring system that has the functions of observation, evaluation and diagnostic is developed to evaluate the pully quality during forming process. Any abnormal variation of forming machining parameters could be detected and adjusted by an intelligent control system aiming to maintain the machining stability and the desired product quality. This approach is being practiced on the pully forming machine for evaluating the efficiency of the proposed strategy.

• Journal of Mechanical Science and Technology
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• v.15 no.8
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• pp.1108-1118
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• 2001

The purpose of this study is to establish a CAD (Computer Aided Design) system for research and development(R&D) of a new product. In the R&D process of a new product, the design objects are frequently redesigned based on the experimental results obtained with prototypes. The CAD/CAE systems (which is based on computer simulation of physical phenomena) are effective in reducing the number of useless prototypes of a new product. These kinds of conventional CAD/CAE systems do not provide a function to reflect the experimental results to the redesign process, however. This paper proposes a methodology to establish the CAD system, which possesses the engineering model of a designed object in the model database, and refines the model on the basis of experimental results of prototype. The blackboard inference model has been applied to infer model refinement and redesign counterplan by using insufficient knowledge of R&D process of new products.

• Journal of the Korean Ceramic Society
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• v.25 no.3
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• pp.300-306
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• 1988

The catalytic effect of salts on formation of ${\alpha}$-calcium sulfate hemihydrate under water vapor at atmospheric pressure was studied and the formation of q-calcium sulfate hemilydrate from by-product gypsum of phosphoric acid process was investigated. The order of catalytic effect of salts are as follow: Ammonium chloride>Sodium succinate>Calcium chloride>Sodium tartrate>Magnesium chloride The prismatic crystals was formed when ammonium chloride, calcium chloride and magnesium chloride was added, whereas the needle crystals was formed when sodium tartrate was added. Ammonium chlorideis most successful in catalytic effects in formation of ${\alpha}$-calcium sulfate hermihydrate for the by-product gypsum of phosphoric acid process.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.263-271
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• 2013

This paper reviewed the relationship between innovation(organization innovation, personnel innovation, product innovation, process innovation) and firm performance in small business. Based on the responses from 218 firms, the results of multiple regression analysis showed that personnel innovation, product innovation, and process innovation effect positively on all firm performance(sales, profit, market share, customer satisfaction), and organization innovation effects positively only on market share and customer satisfaction. The results of hierarchical regression analysis showed that technical innovation(product innovation, process innovation) effects more positively on sales, profit and customer satisfaction than administrative innovation(organization innovation, personnel innovation).

• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.239-246
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• 2010

The purpose of this study is looking for the effects of innovation on business performance in Korean SMEs. We were able to obtain participations of 169 questionnaire, and derived statistics by means of SPSS/PC version 15.0 and AMOS. In this study we found that employee's quality mind and organizational supports for company innovation activities are significant to product innovation and process innovation. The reason is easy to adoption and participation in the innovation for all the members of the staff. As a statistical result, the research conduced that both product innovation and process innovation largely affects the business performances increase.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.247-252
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• 2011

The purpose of this study is to minimize the PCH(Propylene CHlorohydrins) as a by-product in HPMC(HydroxyPropyl MethylCellulose) manufacturing process. HPMC is made of cellulose which is natural high polymer. And HPMC is applicable to several industrial areas. Especially it can be used in food industry as an effective additive. PCH is the by-product which is generated in chemical reaction in HPMC manufacturing process. So it is essential to eliminate PCH for the improvement of product quality. Therefore we have studied to minimize the amount of PCH. It is expected that the application of HPMC could be enlarged as the result of this study.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.109-114
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• 2005

The large injection molded parts technology such as instrument panel, front and rear bumper are presented for a precision molding. Some lead time and cost are required to product these part from design to mass product. Recently, CAE is widely used in product design, mold design and analysis of molding conditions to reduce time and cost. The optimal molding conditions can be obtained by DOE(Design of Experiment). The optimal design applications with CAE and DOE have been used in small molded parts. However, application to the large molded body is not reported. In this paper, optimization of injection molding process is studied for quality control in mass production of automobile bumper. Mold temperature difference is chosen through robust design of injection molding process, the molding process being optimized in term of shrinkage and deflection. The optimal conditions through DOE are validated by using injection molding analysis.

• Journal of Powder Materials
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• v.15 no.2
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• pp.87-94
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• 2008

In order to investigate a nitriding process of spent oxide fuel and the subsequent change in thermal properties after nitriding, simulated spent fuel powder was converted into a nitride pellet with simulated fission product elements through a carbothermic reduction process. Nitriding rate of simulated spent fuel was decreased with increasing of the amount of fission products. Contents of Ba and Sr in simulated spent fuel were decreased after the carbothermic reduction process. The thermal conductivity of the nitride pellet was decreased by an addition of fission product element but was higher than that of the oxide fuel containing fission product elements.

• Journal of Korean Society for Quality Management
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• v.25 no.2
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• pp.140-153
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• 1997

As product quality is maily determined in the product design and process design step, systematic design should be performed through parameter design and tolerance design. Therefore, we introduced analysis of variance and regression analysis as a statistical method which determine optimal levels of affective design factors to product characteristics, then we compared that process and result. In analysis of variance, variation of quality characteristics arises from noise factors, so the optimal levels of design factors are selected to minimize the effect of noise factors. In regression analysis, variation of quality characteristics aries from variation of each own design factors. As a method to reduce variation of these quality characteristics, sensitivity analysis was performed about each design factors. Through this sensitivity analysis, we represented process to calculate the interaction term of the factors.