• 제목/요약/키워드: Manufacturing Processes

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Digital Manufacturing - a Strategy for Engineering Collaboration

  • Noh Sang Do
    • Journal of Ship and Ocean Technology
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    • 제8권4호
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    • pp.45-55
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    • 2004
  • How to achieve engineering collaboration among diverse engineering activities is one of the key topics in manufacturing fields nowadays. The infrastructure for collaborative engineering is essential, and it can be realized by information technologies and intelligent engineering applications in digital environments. Digital Manufacturing is a technology to facilitate effective product developments and agile productions by computer models representing the physical and logical schema and the behavior of real manufacturing systems including products, processes and factories. A digital factory as a well-designed and integrated digital environment is incorporated in it. In this paper, digital manufacturing is recommended as a good strategy for collaborative engineering, especially in product developments and productions. By business process analysis and some case studies, we suggested sophisticated digital models are very useful to concurrent and collaborative engineering. It is expected that digital manufacturing is a very good strategy for achieving dramatic time and cost savings in many engineering activities of many manufacturing industries, including machinery, automotive and shipbuilding.

사회적 자본 및 정보기술 하부구조의 도입수준과 지식경영 과정들에 대한 영향 (The Adoption Degrees of Social Capital and IT Infrastructure, and Their Effects on Knowledge Management Processes)

  • 최종민
    • 한국정보시스템학회지:정보시스템연구
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    • 제18권3호
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    • pp.183-210
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    • 2009
  • This study investigated the degrees of knowledge management processes according to the levels of social capital(i.e., inter-departmental communication, trust, cooperation and integration) as well as information technology(IT) infrastructure(i.e., knowledge storage and transfer IT, and knowledge search IT) in Korean manufacturing firms. We also demonstrated the differences in organizational performance under various degrees of knowledge management processes. Through cluster analysis with social capital variables, we classified sample firms into five groups; 'the highest firms', 'higher firms', 'middle firms', 'lower firms', and 'the lowest firms'. It was also observed that the degrees of knowledge management processes and organizational performance in 'the highest firms' is the highest. With a structural equation modeling technique, the causal relationships among social capital, IT infrastructure, knowledge management processes, and organizational performance were confirmed. Hence, it is concluded that social capital and IT infrastructure have direct effects on knowledge management processes, and indirectly influence organizational performance through the degrees of knowledge management processes.

Exposure to Volatile Organic Compounds and Possibility of Exposure to By-product Volatile Organic Compounds in Photolithography Processes in Semiconductor Manufacturing Factories

  • Park, Seung-Hyun;Shin, Jung-Ah;Park, Hyun-Hee;Yi, Gwang-Yong;Chung, Kwang-Jae;Park, Hae-Dong;Kim, Kab-Bae;Lee, In-Seop
    • Safety and Health at Work
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    • 제2권3호
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    • pp.210-217
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    • 2011
  • Objectives: The purpose of this study was to measure the concentration of volatile organic compound (VOC)s originated from the chemicals used and/or derived from the original parental chemicals in the photolithography processes of semiconductor manufacturing factories. Methods: A total of four photolithography processes in 4 Fabs at three different semiconductor manufacturing factories in Korea were selected for this study. This study investigated the types of chemicals used and generated during the photolithography process of each Fab, and the concentration levels of VOCs for each Fab. Results: A variety of organic compounds such as ketone, alcohol, and acetate compounds as well as aromatic compounds were used as solvents and developing agents in the processes. Also, the generation of by-products, such as toluene and phenol, was identified through a thermal decomposition experiment performed on a photoresist. The VOC concentration levels in the processes were lower than 5% of the threshold limit value (TLV)s. However, the air contaminated with chemical substances generated during the processes was re-circulated through the ventilation system, thereby affecting the airborne VOC concentrations in the photolithography processes. Conclusion: Tens of organic compounds were being used in the photolithography processes, though the types of chemical used varied with the factory. Also, by-products, such as aromatic compounds, could be generated during photoresist patterning by exposure to light. Although the airborne VOC concentrations resulting from the processes were lower than 5% of the TLVs, employees still could be exposed directly or indirectly to various types of VOCs.

Development of Roll-to- Flat Thermal Imprinting Equipment and Experimental Study of Large Area Pattern Replication on Polymer Substrate

  • 이문구;란 슈하이;이수훈;이혜진;;성연욱
    • 한국생산제조학회지
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    • 제18권3호
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    • pp.307-314
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    • 2009
  • Large area micro pattern replication has promising application potential in many areas. Rolling imprint process has been demonstrated as one of the most competitive processes for such micro pattern replication, because it has advantages in low cost, high throughput and high efficiency. In this paper, we developed a prototype of roll-to-flat(R2F) thermal imprint system for large area micro pattern replication process, which is one of the key processes in the fabrication of flexible displays. Experimental tests were conducted to evaluate the feasibility of system and the parameters' effect on the process, such as flat mold temperature, loading pressure and rolling speed. 100mm $\times$ 100mm stainless steel flat mold and commercially available polycarbonate sheets were used for the tests. The experimental results showed that the developed R2F system is suitable for fabrication of various micro devices with micro pattern over large area.

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다중공선성과 불균형분포를 가지는 공정데이터의 분류 성능 향상에 관한 연구 (A Study on Improving Classification Performance for Manufacturing Process Data with Multicollinearity and Imbalanced Distribution)

  • 이채진;박정술;김준석;백준걸
    • 대한산업공학회지
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    • 제41권1호
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    • pp.25-33
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    • 2015
  • From the viewpoint of applications to manufacturing, data mining is a useful method to find the meaningful knowledge or information about states of processes. But the data from manufacturing processes usually have two characteristics which are multicollinearity and imbalance distribution of data. Two characteristics are main causes which make bias to classification rules and select wrong variables as important variables. In the paper, we propose a new data mining procedure to solve the problem. First, to determine candidate variables, we propose the multiple hypothesis test. Second, to make unbiased classification rules, we propose the decision tree learning method with different weights for each category of quality variable. The experimental result with a real PDP (Plasma display panel) manufacturing data shows that the proposed procedure can make better information than other data mining procedures.

분산 환경하의 설계 및 제조활동을 위한 프로세스관리기법 연구 (A Process Management Framework for Design and Manufacturing Activities in a Distributed Environment)

  • 박화규;김현;오치재;정문정
    • 한국전자거래학회지
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    • 제2권1호
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    • pp.21-37
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    • 1997
  • As the complexity in design and manufacturing activities of distributed virtual enterprises rapidly increases, the issue of process management becomes more critical to shorten the time-to-market, reduce the manufacturing cost and improve the product quality. This paper proposes a unified framework to manage design and manufacturing processes in a distributed environment. We present a methodology which utilizes process flow graphs to depict the hierarchical structure of workflows and process grammars to represent various design processes and design tools. To implement the proposed concept, we develop a process management system which mainly consists of a cockpit and manager programs, and we finally address a preliminary implementation procedure based on the Object Modeling Technique. Since the proposed framework can be a formal approach to the process management by providing formalism, parallelism, reusability, and flexibility, it can be effectively applied to further application domains of distributed virtual enterprises.

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베어링메탈 제조공정에 따른 결함발생 및 피로균열 전파특성 (Properties of Defect Initiation and Fatigue Crack Growth in Manufacturing Process of Bearing Metal)

  • 김민건
    • 산업기술연구
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    • 제35권
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    • pp.3-8
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    • 2015
  • A study has been made on defects which are formed in manufacturing processes of engine bearing and also on fatigue crack growth behavior in each step of bearing metal manufacturing. After the first step(sinter brass powder on steel plate ; Series A) many voids are made on brass surface and its size is decreased by the second step(rolling process of sintered plate ; Series B). After the third step(re-sintering step of brass powder and rolling ; Series C) the number of voids is decreased and its type shows line. The time of fatigue crack initiation and the growth rate of fatigue crack are in order of Series A, Series B, Series C. These reasons are that void fosters the crack initiation and growth, and residual stress made by rolling process effects on the crack growth rate in Series B, C. In forming and machining processes by use of final bearing metal, crack was observed at internal corner of flange and peeling off was observed at junction between steel and brass. Owing to the above crack and peeling off, it is considered that there is a possibility of fatigue fracture during the application time.

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데이터마이닝 기법을 이용한 생산데이터 분석시스템 설계 (Design of Manufacturing Data Analysis System using Data Mining Techniques)

  • 이형욱;이근안;최석우;박홍균;배성민
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.611-612
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    • 2006
  • Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

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옥상녹화용 경량유닛의 블록제조 공법 및 공정 연구 (A Study on Manufacturing and Processes of the Lightweight Block Unit for Roof Greening with Bottom ash)

  • 문종욱;오중근;이태구
    • KIEAE Journal
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    • 제12권3호
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    • pp.95-100
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    • 2012
  • Thermal phenomena has caused abnormal weather phenomena due to the lack of urban green spaces To solve these problems, the country of recorded a city business is actively evolving trends. but in all the land, most built-up city's green buildings unless the demolition of the composition is an impossible situation, green space in urban areas, with emphasis on composition. In this study, thermal power plants that occured in the evolution of vegetation by utilizing Bottom Ash was tried to develop a lightweight block. Bottom Ash block to take advantage of vegetation is focused create green space in urban areas Vegetation in the block was carried out manufacturing lightweight, porous, lightweight water ratio suitable for three types of blocks selected according to its kind study on the manufacturing and process. Bottom Ash from this study at the time of disposal of coal ash generated by recycling the landfill shortages, loss of landfill costs, environmental pollution and are trying to solve the same problem at the same time.

금속분말의 레이저 공정 기술 (Laser Processing Technology using Metal Powders)

  • 장정환;문영훈
    • 대한금속재료학회지
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    • 제50권3호
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    • pp.191-200
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    • 2012
  • The purpose of this paper is to review the state of laser processing technology using metal powders. In recent years, a series of research and development efforts have been undertaken worldwide to develop laser processing technologies to fabricate metal-based parts. Layered manufacturing by the laser melting process is gaining ground for use in manufacturing rapid prototypes (RP), tools (RT) and functional end products. Selective laser sintering / melting (SLS/SLM) is one of the most rapidly growing rapid prototyping techniques. This is mainly due to the processes's suitability for almost any materials, including polymers, metals, ceramics and many types of composites. The interaction between the laser beam and the powder material used in the laser melting process is one of the dominant phenomena defining feasibility and quality. In the case of SLS, the powder is not fully melted during laser scanning, therefore the SLS-processed parts are not fully dense and have relatively low strength. To overcome this disadvantage, SLM and laser cladding (LC) processes have been used to enable full melting of the powder. Further studies on the laser processing technology will be continued due to the many potential applications that the technology offers.