• 제어로봇시스템학회논문지
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• 제14권6호
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• pp.519-522
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• 2008

As industry of a semiconductor and LCD industry have been rapidly growing, precision technologies of machining such as etching and 3D measurement are required. Stylus has been important measuring method in traditional manufacturing process. However, its disadvantages are low measuring speed and damage possibility at contacting point. To overcome mentioned disadvantage, non-contacting measurement method is needed such as PMP(Phase Measuring Profilometry), WSI(white scanning interferometer) and Confocal Profilometry. Among above 3 well-known methods, WSI started to be applied to FPD(flat panel display) manufacturing process. Even though it overcomes 21t ambiguity of PMP method and can measure objects which has specular surface, the measuring speed and vibration coming from manufacturing machine are one of main issue to apply full automatic total inspection. In this study, We develop high speed WSI system and algorithm to reduce unknown noise. The developing WSI and algorithm are implemented to measure 3D surface of wafer. Experimental results revealed that the proposed system and algorithm are able to measure 3D surface profile of wafer with a good precision and high speed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권3호
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• pp.200-205
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• 2005

The objectives of this study were to introduce the easiest and most proper applications of datamining in industrial processes. Applying datamining in manufacturing is very different from applying it in marketing. Misapplication of datamining in manufacturing system results in significant problems. Therefore, it is very important to determine the best procedure and technique in advance. In previous studies, related literature has been introduced, but there has not been much description of datamining applications. Research has not often referred to descriptions of particular examples dealing with application problems in manufacturing. In this study, a datamining roadmap was proposed to support datamining applications for industrial processes. The roadmap was classified into three stages, and each stage was categorized into reasonable classes according to the datamining purposed. Each category includes representative techniques for datamining that have been broadly applied over decades. Those techniques differ according to developers and application purposes; however, in this paper, exemplary methods are described. Based on the datamining roadmap, nonexperts can determine procedures and techniques for datamining in their applications.

• 한국기계가공학회지
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• 제11권6호
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• pp.48-54
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• 2012

In recent years, developments in the semiconductor and electronic industries have brought a rapid increase in the use of large size silicon. However, for many companies, it is hard to produce 400mm or 450mm wafers, because of excesive funds for exchange the equipments. Therefore, it is necessary to investigate 300mm wafer to obtain a better efficiency and a good property rate. Polishing is one of the important methods in manufacturing of Si wafers and in thinning of completed device wafers. This research investigated the surface characteristics that apply variable machining conditions and Taguchi Method was used to obtain more flexible and optimal condition. In this study, the machining conditions have head speed, oscillation speed and polishing time. By using optimum condition, it achieves a ultra precision mirror like surface.

• 한국기계가공학회지
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• 제9권5호
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• pp.64-69
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• 2010

This study is the machining of fuel supply pipe used in large vessels. The fuel supply pipe of large vessels have effects to reduce engine exhaust because of common rail system and show excellent fuel efficiency so it is in the limelight as a vessel engine of next generation. At present, the shape of fuel supply pipe of common rail used for huge two-stroke & low-speed vessels is like a peanut hole so the second machining is necessary after the first machining. There is high error rate for machining and the materials waste caused by machining error is serious. Also, in this time the request for increasing the length of fuel supply pipe is suggested in the world market, it's judged that current methods will show higher error rate for machining. Therefore, the purpose of this study is to improve the machining process used originally. For that, the system controlling the process was developed as well as surface roughness and straightness which are evaluation items of fuel supply pipe were measured so that improved process can be observed in real time.

• 한국산학기술학회논문지
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• 제9권6호
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• pp.1838-1855
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• 2008

생산 공정의 효율화는 모든 제조 산업이 추구하고 있는 목표이다. 본 논문에서는 다양한 타입의 제품을 병렬기계에 투입 할 때 목표한 품질을 만족시키고 동시에 평균 납기지연 시간을 최소화 하는 효율적인 작업투입방법에 대하여 기술하였다. 본 연구에서는 품질을 고려하고 실시간으로 작업을 투입해야 하는 공정에서 Rolling Horizon 타부탐색(Tabu search)방법을 이용하여 평균 납기 지연시간을 최소화 하는 방안을 개발하였다. 시뮬레이션을 통해 제안하는 방법의 효율성을 비교대안과 비교하였다. 본 방법은 실제 생산 공정에서 품질과 납기를 동시에 만족 시킬 수있는 효율적인 작업투입 방법으로 사용되어 기업의 수익향상과 신뢰성 확보를 이룰 수 있다.

• 한국기계가공학회지
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• 제18권10호
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• pp.93-98
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• 2019

Recently, with the development of the aerospace and automotive industries, the demand for high-melting-point materials has increased. However, high-melting-point materials are difficult to cut through conventional machining methods. Thermally assisted machining (TAM) is a method for improving the machinability by preheating the materials. A laser, the most commonly used device for TAM, has high efficiency through local preheating but is not sufficient for maintaining a high preheating temperature due to rapid cooling. However, the use of multi-heat sources can supplement the disadvantage of a single heat source. The high preheating temperature can be maintained with a wide and deep heat-affected zone (HAZ) by multi-heat sources. The purpose of this study is to analyze the preheating effects of multi-heat sources using laser plasma. Thermal analysis and preheating experiments were carried out. As a result, the high preheating effect of multi-heat sources compared with a single heat source was verified.

• 품질경영학회지
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• 제49권4호
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• pp.641-654
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• 2021

Purpose: One distinctive trend in the recent industrial and technological development has been the change in the structures of industries brought by information technology, boosting the productivity of different sectors. This relation has clearly opened a path for the fourth industrial revolution to reform numerous industrial sectors, including i-fashion sectors. Therefore, in this research, we would like to present the direction of the direction policy for the fusion of the manufacturing industry and the service industry of i-fashion. Methods: In this study, an empirical time series data analysis of machinery investment efficiency and capital investment efficiency of 43 industrial sectors in manufacturing and service was conducted to show their potential and ongoing convergence toward i-fashion. Results: Most impressive as a finding in this research was that those sectors previously underinvested due to a combination of technological and financial reasons found an exit for growth. In textile and apparel sectors, that could be the i-fashion. Conclusion: One strong implication of this study is that sectoral level convergence based on technology and industry is occurring, and i-fashion is one of the industrial convergence case to be observed.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.355-364
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• 2021

The main objective of this study is to examine the interactive effect of technology spillover channels on business efficiency within the case study of manufacturing industry of Vietnam during the period from 2012 to 2018. The research model was developed with business efficiency as dependent variable and the relevant factors affecting the technology spillover capacity as independent variables. With a sample of 2,776 cross-sectional enterprises, panel data analysis approach was adopted to estimate the impact of technology spillover issue. Different spillover channels were also included in the analysis to enhance the empirical result. The study reveals that technology spillovers positively influence manufacturing business efficiency, in which horizontal spillover channel produces negative impact and vertical spillover channel, creates positive impact. Several factors that negatively affect the technology spillover capacity of businesses could be mentioned such as limited skills and experiences of workers, methods of implementing R&D, and the existence of FDI enterprises. Meanwhile, the rise of other factors related to joint-venture activities can help to increase the technology spillover capacity of businesses. In addition, skill and experience transfer makes a partial impact since this variable only positively affect the vertical spillover channel and provide no evidence of impact regarding horizontal spillover channel model.

• 정보보호학회논문지
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• 제29권2호
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• pp.321-330
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• 2019

기업에서 내부자에 의한 기업 기밀 유출 방지는 기업의 생존을 위한 필수 과제이다. 내부자에 의한 정보유출 사고를 막기 위해 기업에서는 보안 솔류션을 도입하여 적용하고 있으나 접근 권한이 있는 내부자의 이상행위를 효과적으로 탐지하는 데에는 한계가 있다. 이번 연구에서는 기업의 제품 제조 이력, 품질 정보 등을 담고 있는 제조정보시스템의 작업자 작업화면 접근 로그 데이타를 기계학습 기법의 비지도학습 알고리즘을 활용하여 정상적인 접근 로그와 비정상적인 접근 로그를 효과적으로 군집화하는 방법을 연구하여 이상징후 탐지를 위한 최적화된 속성 선택 모델을 제시하고자 한다.

• 한국인터넷방송통신학회논문지
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• 제19권5호
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• pp.239-244
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• 2019

기존의 주조 방식은 긴 제작 시간과 많은 비용이 소모되며, 즉각적인 디자인 수정이 불가능하여 다변화하는 현대사회에 대응하기 어려웠다. 때문에 주조 산업은 새로운 대안이 필요했으며 그 중 하나가 적층 제조 기술과의 접목이다. 적층제조기술에는 7가지가 있으나 본 논문에서는 PBF를 활용한 중자 제작을 살펴보려고 한다. 현재의 적층 제조 기술 장비들은 대부분 외산 장비들로 기능 활용과 서비스의 제약이 따르고 있어서 장비의 국산화가 필요하였고 장비의 개발과 함께 기술 활용의 내용을 담았다. 각 장에서는 PBF의 장비 개발 단계 및 소재 적용과 변수 설정에 대해서 서술하고 있으며, 최종적으로 기술을 활용한 산업용 중자 개발의 성공과 특성에 대한 정보를 보여주고 있다.