• 한국생산제조학회지
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• 제9권2호
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• pp.80-86
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• 2000

Although polishing process take 30-50% of whole process of manufacturing die and mold it has not been fully automat-ed yet. Considering current trend of manufacturing it is necessary to study on polishing automation. To accomplish automation reliable database must be developed. For developing it polishing mechanism should be defined and a general empirical formula that can be applied widely should be created. In this paper it is found that polishing process must be separated into 2 process such as removing cusp and getting fine surface process and the polishing parameter which is com-posed of major machining parameters and normalization of data can be applied efficiently in making reliable database.

• 한국공작기계학회논문집
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• 제17권6호
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• pp.111-117
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• 2008

An automation process of filter unit is presented for the application of the assembling procedure and dry furnace work. By that automation procedure, it is expected to enhance working environment such as reducing laboring load, harmful gas, and burning scald. Furthermore, this automation process also minimizes via standardization of manufacturing process so that it may increase productivity and reliability. An automation process of filter unit is presented for the application of the assembling procedure and dry furnace work. Filter automation process also gives a good quality and productivity by simplifying to only one line from the complicated process such as filter cutting$\rightarrow$ adhering$\rightarrow$fabricating in a very small space. It is found that a new conceptual design of dry furnace shows the better quality like uniform heat distribution compared to the conventional design. It is also found that the present design gives a better working environment by adding cooling system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1020-1023
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• 1996

Fieldbus provides real-time data communication among field devices in the process control and manufacturing automation systems. This paper presents an implementation method of Profibus in the experimental model of manufacturing automation system. The manufacturing automation system considered in this paper consists of robots, NC machines, sensors, conveyers and PCs. The application task programs are developed on the basis of FMS/FMA7 communication services which are provided by Profibus application layer. The communication and application programs are developed in the real-time environment.

• 한국산업융합학회 논문집
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• 제25권2_2호
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• pp.247-255
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• 2022

Robot Process Automation (RPA) is a computer technology called Robotic Process Automation, a form of business process automation based on the concept of software robots or artificial intelligence (AI) walkers. In general, in traditional workflow automation tools, software developers design software that creates a set of actions to automate tasks and interfaces for the back-end systems using internal APIs or dedicated script languages. However, in RPA software, automation can be implemented by configuring an operating processor as if the general user is directly performing the task of the application. In other words, it can be said that it is a suitable development method for automating simply repetitive tasks rather than developing specific programs in which all necessary functions are implemented, as in general software development. Thus, this is more appropriate for configuring and automating RPA software in traditional manufacturing companies that are not easy to develop and apply smart factories or high-end AI software. Therefore, this research aims to analyze the requirements required at the actual manufacturing companies, focusing on the manufacturer's case in Changwon, Gyeongsangnam-do, called SinceWin Co., Ltd., and to examine the possibility of RPA software in the manufacturing companies by implementing actual RPA software that supports office automation. Through the research, it was confirmed that the actually implemented RPA software met the requirements of the company and helped manufacturer practice significantly by automating the parts that were worked error-prone and manually periodically.

• 한국산학기술학회논문지
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• 제11권11호
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• pp.4108-4114
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• 2010

프레스 금형의 가공 및 제작 공정의 자동화란 불필요한 반복 작업을 피하여 시간을 절약하고 표준 품질의 가공물을 얻고자 하는 것이다. 자동화의 범위는 3차원 금형설계, 머시닝 센터, 와이어 컷 방전가공, 도면작업까지를 포함하는 것이다. 본 논문에서는 컨트롤박스제어 센서에 사용되는 Irp브라켓으로 3차원 금형설계 후에 동일한 환경에서 프레스 금형의 가공 및 제작 공정 자동화에 대하여 연구하고자 하였다.

• 한국산업융합학회 논문집
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• 제22권2호
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• pp.235-241
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• 2019

The shoe manufacturing process is very low compared to other industries due to the labor-intensive process. As automation and smart factories are becoming more and more automated, changes in the shoe manufacturing process are also needed. In this paper, we want to standardize the fuse manufacturing process by modularizing it. First, we defined the terms of shoeupper and fuse process, the shoe upper fuse process by function and classified it as a modular process. The fuse process can be modularized with pattern supply module, pattern recognition module, pattern laminate module, pattern waiting module, adhesion module, heat pressing module, transmission module, etc.

• 한국정밀공학회지
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• 제16권3호통권96호
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• pp.91-102
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• 1999

Fieldbus provides real-time data communication among field devices in the manufacturing automation and process control systems. In this study, an experimental model of fieldbus-based manufacturing automation system is developed. Experimental model consists of two robots, two conveyor belts, NC machine, PLC, sensors and operator station. These machines are interconnected into the Profibus network, and exchange their data through the services provided by FMS(Fieldbus Message Specification), which is the application layer protocol of Profibus. The experimental model is used to measure the network-induced delay of variable and file data transmitted through FMS services. Network-induced delays are collected and analyzed on each sublayer of Profibus protocol stack. The results obtained from the experiment of this study can be effectively utilized when fieldbus is implemented on the practical manufacturing automation systems.

• 한국산업정보학회논문지
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• 제22권5호
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• pp.31-37
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• 2017

본 논문에서는 자동화 계측 시스템 설계를 통하여 액상황산알루미늄 제조 공정을 개선하였다. 액상황산알루미늄 제조과정은 대용량의 무게를 사용하며 제품의 품질이 생산과정에서 투입되는 원료의 비율에 높게 의존하기 때문에 정밀한 중량 분석이 매우 중요하다. 자동화설계를 위하여 대용량의 무게를 정밀하게 측정할 수 있는 로드셀 센서와 자동화 공정에서 가장 많이 활용되는 PLC 기술을 적용하였다. 자동화 시스템을 사용하기 전에 생산된 황산알루미늄에 포함된 산화알루미늄의 함량은 8.023% ~ 8.250%의 변화가 나타났으나 자동화 시스템 적용 이후에는 8.09% ~ 8.109% 로 변화폭이 크게 감소하였다. 그 결과 계량오차에 의한 품질 불량률을 감소시킬 수 있었으며 물과 재이용수의 부정확한 투입으로 인한 반응제품의 역류 현상과 같은 안전사고를 감소시킬 수 있었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.653-657
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• 2000

The paper describes the contents and results of the national project named "Development of Computer Integrated Product Design for Automation Equipment". It is focussed on the real-time control '||'&'||' monitoring of manufacturing process for automobile rubber parts. Automobile rubber parts industy is one of the typical process that high11 depends upon manufacturing facilities and equipments. So. it requires high cost and engineering technolog) on plant implementation. But most companies of rubber parts industries are small or mid companies that habe weak abilities for plant implementation properly and systematically. Therefore, for upgrading the levelof automation. it is necessar). to dekelope the computer based management and monitoring slsteni that enables to build-up the common base of automation and systemization. 'Through this project. we developed low cost real-time monitoring system for banbun mixing process '||'&'||' mold injection process of rubbcr parts manufacturing, that is composed with DDCU(Distributed Digital Control Unit),signal interfaces to gathering mon~toring terms and speciall\ developed functional sofhare including some algorithm for management '||'&'||' process monitoring

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.615-616
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• 2006

Many manufacturing companies manage their production-related data for quality management and production management. Nevertheless, production related-data should be closely related to each other Stored data is mainly used to monitor their process and products' error. In this paper, we provide an enterprise-wide production data model for decision support system and product automation. Process data, quality-related data, and test data are integrated to identify the process inter or intra dependency, the yield forecasting, and the trend of process status. In addition, it helps the manufacturing decision support system to decide critical manufacturing problems.