• Journal of the Semiconductor & Display Technology
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• v.21 no.4
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• pp.168-173
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• 2022

As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.1
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• pp.109-141
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• 1998

Many processes in the industrial realm exhibit sstochastic and nonlinear behavior. Consequently, an intelligent system must be able to nonlinear production processes as well as probabilistic phenomena. In order for a knowledge based system to control a manufacturing processes as well as probabilistic phenomena. In order for a knowledge based system to control manufacturing process, an important capability is that of prediction : forecasting the future trajectory of a process as well as the consequences of the control action. This paper examines the robustness of data mining tools under varying levels of noise while predicting nonlinear processes, includinb chaotic behavior. The evaluated models include the perceptron neural network using backpropagation (BPN), the recurrent neural network (RNN) and case based reasoning (CBR). The concepts are crystallized through a case study in predicting a chaotic process in the presence of various patterns of noise.

• International Journal of Precision Engineering and Manufacturing
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• v.5 no.1
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• pp.55-59
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• 2004

This study developed a fully automated test system for pressure vessels, containing such as oxygen, nitrogen, which is widely used in many industries. The pressure vessel test has three major parts including weight measurement test, water-hydraulic test and leakage test followed by cleaning and drying. The control system for these tests consists of three parts: a PLC, a monitoring system and a database management system. The PLC oversees overall control of test machines, while the monitoring system measures and displays weight, pressure, flow etc. for every situations, and the database management system stores test data. These three modules are designed to communicate with one another at 1 Hz frequency alerting problematic situations to the operator. The system has gone through actual field tests for verification of performances.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.04a
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• pp.485-486
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• 1999

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2002.10a
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• pp.446-449
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• 2002

Recently, advanced manufacturing system with high speed and intelligent have been developed for the betterment of machining ability. In this case, reliability prediction work with motion characteristic evaluation of sliding cover has also important roll from design procedure to manufacturing and assembly process. Accordingly in this study, H/W test -bed system for reliability evaluation of sliding cover has been developed to obtain proper reference data for design of new model, and also prevention trouble, quality and life cycle improvement extremely for advanced mother machinary.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.2
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• pp.33-42
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• 2023

Throughout all industries, eco-friendliness is being promoted worldwide with focus on suppressing the environmental impact. With recent international environment policies and regulations supported by government, the electric vehicles demand is expected to increase rapidly. Battery system itself perform an essential role in EVs technology that is arranged in cells, modules, and packs, and each of them are connected mechanically and electrically. A multifaceted approach is necessary for battery pack bonding technologies. In this paper, pros and cons of applicable bonding technologies, such as resistance welding, laser and ultrasonic bonding used in constructing electric vehicle battery packs were compared. Each bonding technique has different advantages and limitations. Therefore, several criteria must be considered when determining which bonding technology is suitable for a battery cell. In particular, the shape and production scale of battery cells are seen as important factors in selecting a bonding method. While dealing with the types and components of battery cells, package bonding technologies and general issues, we will review suitable bonding technologies and suggest future directions.

• Journal of Korea Technology Innovation Society
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• v.6 no.4
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• pp.429-446
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• 2003

The status of microfactory or microfactory-related research in some advanced countries are investigated. Under the financial support of government, Japan has accomplished the Microfactory Project, the United States has pursued the Micro/Meso mMf project, and European countries have been studying micro assembly systems. In Korea, several universities and some large manufacturers have participated in the development of micro-components or micrcrdevices based on MEMS technology since the late 1990's. Microfactory is a process which achieves an integrated micro-manufacturing system in a production system, which is followed by the steps of micro-technology of machine parts based on micro-system technology. In addition, this process is a new concept of manufacturing system that renovates the existing manufacturing system It is sure that the research of micro- manufacturing technology must lead to nano-technology in the near future, with intensive financial supports of government for this technology.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.05a
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• pp.991-994
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• 2000

Recently, reliability engineering is regarded as the major field for aerospace and electronics, semiconductor related industry to improve safety and life cycle. And advanced manufacturing systems with high speed and intelligent have been developed for the betterment of machining ability In this case, reliability prediction has also important roll from design procedure to manufacturing and assembly process. Accordingly in this study, reliability evaluation system has been developed for prevention trouble. quality and life cycle improvement extremely for advanced mother machinary.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.84-93
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• 2015

This study is for the development of Cover Glass Grinding Processing System. This system is developed for manufacturing a mass product system grinding cover glasses with highly precise mechanism, and we improved resulted quality. In the development process, we developed a complete process technology through mechanical design, image processing technology, spindle control, mark identification algorithm etc. With this cover glass grinding development, we could developed process technology, image processing technology, organization mechanisms and control algorithms.

• Resources Recycling
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• v.26 no.5
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• pp.85-96
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• 2017

In this study, we tried to select a slag system capable of pyro-metallurgical process through analysis of sludge generated from PCB plating and etching process solution. Based on this, the possibility of extracting valuable metals in the sludge was studied by experimental and thermodynamic approaches. The sludge was dried at $100{\sim}500^{\circ}C$ and the morphology, chemical composition and phase of the sludge were analyzed. The possibility of pyro-metallurgical process of sludge was investigated through thermodynamic approach using FactSage software.