• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.165-166
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• 2023

Free-form Concrete Panel(FCP) is each panel that composes the concrete exterior skin of Free-form building. FCPs contain curved surfaces, and FCPs have different curvature, size, and angles. In order to manufacture FCP, high technology is required, and it is currently difficult to manufacture it according to the design shape. In particular, many errors occur in the side shape of FCP. This is because when the side silicone mold is applied, it is installed without a coupling method between molds and support device. In this study, basic research was conducted to develop a side silicone mold support device to solve the above problems. We classified the required performance and derived the detailed requirements. Also, Based on this, we drew the basic design of the support device. We plans to conduct design improvement, mock-up making, and FCP manufacturing experiments through future research.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.453-454
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• 2008

• Journal of the Korea Safety Management & Science
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• v.6 no.4
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• pp.183-193
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• 2004

The injection mold industry has strong relationship with many other industries. In the injection mold industry, the harmonious collaboration of the order-making companies, the mold-making companies, and the molded-parts making companies, which are distantly located, is very important. In this study, a web-based collaboration system is developed for the purpose. It offers the criterion to select appropriate production companies. It also tries to minimize the production cost of the mold design by distributing and evaluating the design information. The developed system is constructed using various recent web-programming tools.

• Korean Journal of Computational Design and Engineering
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• v.10 no.3
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• pp.188-198
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• 2005

There are two types of mold parts, ready-made standard parts and ETO (Engineered-to-Order) parts, the latter are of increasing importance to manufacturers. However, the ETO parts require more engineering support and communication than the ready-made standard parts. Existing e-Catalog modules provide classification structures of products that allow customers to select products based on their needs, and the trade begins with the provided specification. However, machine parts or mold parts have different purchasing patterns. Customers do not purchase the ready-made standard parts offered by an e-Catalog. They usually (1) add own options to the provided specifications or (2) change specification items such as length. To support these trades, a new e-Catalog system is proposed. The proposed system is based on the product design process and the specification selection process in addition to the parts classification structure.

• Design & Manufacturing
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• v.15 no.4
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• pp.1-7
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• 2021

A study on in-mold punching technology for hole piercing during molding of hollow plastic parts was conducted. Considering the non-linearity of the HDPE plastic material, mechanical properties were obtained according to the change in temperature and load speed. A standard specimen for the in-mold punching test was designed to implement the in-mold punching process, and the specimen was obtained through injection molding. In order to analyze the influence of process variables during in-mold punching, an in-mold punching mold capable of controlling variables such as temperature and support pressure of the specimen was designed and manufactured. Mold heating characteristics were confirmed through finite element analysis, and punching simulations for changes in process conditions were performed to analyze punching characteristics and reflected in the experiment. Through simulations and experiments, it was found that the heating temperature, punch shape, punching speed, and pressure of the back side of the specimen were very important during in-mold punching of HDPE materials, and optimal conditions were acquired within a given range.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.119-123
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• 2005

Mold design is a knowledge-intensive decision making process where product designer, injection molding engineer as well as mold designer affect each other. Representation and management of design knowledge is a prerequisite for an intelligent design system, which aims to guide and support designer to carry out design activity in more efficient way by avoiding or minimizing unnecessary trial and errors. This paper discusses the issues in knowledge-based mold design, and describes the structure of a knowledge-based mold design system fur parts with micro features under development.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1101-1107
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• 2005

Mold industry has the difficulty to employ young people as the successors of the skilled workers, because it has been regarded as a 3D-jobs(dirty, difficult, and dangerous). To overcome this situation, thus, manufacturing technologies maintained in the factory should be systemized, and engineering systems should support unskilled workers to do their jobs without any difficulty. As a research of developing the supporting system, this study proposes a decision support system that facilitates unskilled workers to easily select high quality NC-data, as well as to increase productivity. The proposed system is assumed to follow a CAM operation scenario that consists of next three steps: 1) identifying several process plans and enumerating feasible unit machining operations (UMOs) from material and part surface information, 2) creating all feasible NC-data based on UMOs using a commercial CAM system, 3) selecting the best NC data among the feasible NC data using four screening criteria, such as machining accuracy, machining allowance, cutting load, and processing time. A case study on the machining of a camera core mold is provided to demonstrate the proposed system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.954-957
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• 2002

The objective of design process modeling is a systematic support of rapid redesign process fur a modified input data. The design process modeling is realized by storing key parameters or geometric entities used in the intermediate design steps and reusing them for change of the designed parts or assemblies according to the modified input. In this paper, we adopted and implemented the design process modeling approach to our injection mold design system developed based on the Unigraphics system. It was proved that the productivity of mold redesign process is raised highly by introducing the design process modeling technique mold design system.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.12
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• pp.2252-2260
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• 1992

This paper deals with development of expert process planning system which automatically generates process plan for manufacturing parts of injection mold. The specific domain of study is two-plate injection mold without support plate. Decision making rules for selection of machining processes machine tools, cutting tools and for determination of sequence of machining operations are acquired by interview of skilled process planner. The developed expert process planning system is programmed by using expert system shell CLIPS on the IBM PC/AT. The proposed system works well to real problems.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.117-124
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• 2021

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.