• 한국분말야금학회:학술대회논문집
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• 한국분말야금학회 2002년도 제3회 최신 분말제품 응용기술 Workshop
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• pp.25-37
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• 2002

The most important industrial application of gamma radiation in characterizing green compacts is the determination of the density. Examples are given where this method is applied in manufacturing technical components in powder metallurgy. The requirements imposed by modern quality management systems and operation by the workforce in industrial production are described. The accuracy of measurement achieved with this method is demonstrated and a comparison is given with other test methods to measure the density. The advantages and limitations of gamma ray densitometry are outlined. The gamma ray densitometer measures the attenuation of gamma radiation penetrating the test parts (Fig. 1). As the capability of compacts to absorb this type of radiation depends on their density, the attenuation of gamma radiation can serve as a measure of the density. The volume of the part being tested is defined by the size of the aperture screeniing out the radiation. It is a channel with the cross section of the aperture whose length is the height of the test part. The intensity of the radiation identified by the detector is the quantity used to determine the material density. Gamma ray densitometry can equally be performed on green compacts as well as on sintered components. Neither special preparation of test parts nor skilled personnel is required to perform the measurement; neither liquids nor other harmful substances are involved. When parts are exhibiting local density variations, which is normally the case in powder compaction, sectional densities can be determined in different parts of the sample without cutting it into pieces. The test is non-destructive, i.e. the parts can still be used after the measurement and do not have to be scrapped. The measurement is controlled by a special PC based software. All results are available for further processing by in-house quality documentation and supervision of measurements. Tool setting for multi-level components can be much improved by using this test method. When a densitometer is installed on the press shop floor, it can be operated by the tool setter himself. Then he can return to the press and immediately implement the corrections. Transfer of sample parts to the lab for density testing can be eliminated and results for the correction of tool settings are more readily available. This helps to reduce the time required for tool setting and clearly improves the productivity of powder presses. The range of materials where this method can be successfully applied covers almost the entire periodic system of the elements. It reaches from the light elements such as graphite via light metals (AI, Mg, Li, Ti) and their alloys, ceramics ($AI_20_3$, SiC, Si_3N_4, $Zr0_2$, ...), magnetic materials (hard and soft ferrites, AlNiCo, Nd-Fe-B, ...), metals including iron and alloy steels, Cu, Ni and Co based alloys to refractory and heavy metals (W, Mo, ...) as well as hardmetals. The gamma radiation required for the measurement is generated by radioactive sources which are produced by nuclear technology. These nuclear materials are safely encapsulated in stainless steel capsules so that no radioactive material can escape from the protective shielding container. The gamma ray densitometer is subject to the strict regulations for the use of radioactive materials. The radiation shield is so effective that there is no elevation of the natural radiation level outside the instrument. Personal dosimetry by the operating personnel is not required. Even in case of malfunction, loss of power and incorrect operation, the escape of gamma radiation from the instrument is positively prevented.

• 한국전자거래학회지
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• 제25권4호
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• pp.143-154
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• 2020

가공 시스템의 지능화 및 자율화 추세가 확대되면서, CNC 공작기계의 자동화된 오퍼레이션을 위한 머신 텐딩 시스템 도입이 산업 현장에서 활발히 진행되고 있다. 머신 텐딩 시스템을 구축함에 있어 CNC 공작기계와 로봇 간 인터페이스 구성 및 구성한 인터페이스에 대한 작업 설계 변경은 가장 중요한 프로세스이다. 하지만 이러한 중요도에도 불구하고 머신 텐딩 시스템은 많은 설정 문제가 있다. 새로운 CNC 공작기계나 로봇을 도입할 때마다 인터페이스에 맞추어 컨트롤러를 다시 제작하거나 재구성해야 하는 어려움이 있고, 추가적으로 머신 텐딩 시스템의 복잡한 구조로 인해 현장 작업자가 해당 시스템을 변경하는 부분에도 어려움이 있다. 이에 본 연구에서는 이기종의 CNC 머신과 산업용 로봇 간 인터페이스를 하나의 통합 시스템으로 구성하였다. 또한 손쉽게 작업 설계 변경을 하기 위해 디지털 트윈을 구현하여 현장 작업자는 간단하게 변경을 가능하게 하였다. 이 시스템을 구현하기 위하여 이기종 CNC 공작기계에 대한 표준화된 인터페이스를 제공하는 지능형 HMI 플랫폼과 다양한 로봇을 제어할 수 있는 응용 소프트웨어 개발 플랫폼인 ROS 플랫폼의 통합 개발 환경을 구축하였다. 또한 손쉬운 작업환경을 위해 게임 엔진인 Unity3D를 사용하여 시스템 모델링 후 웹 브라우저 환경에서 머신 텐딩 원격 제어 및 실시간 모니터링 프로그램을 개발하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1249-1249
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• 2022

The facade, an exterior material of a building, is one of the crucial factors that determine its morphological identity and its functional levels, such as energy performance, earthquake and fire resistance. However, regardless of the type of exterior materials, huge property and human casualties are continuing due to frequent exterior materials dropout accidents. The quality of the building envelope depends on the detailed design and is closely related to the back frames that support the exterior material. Detailed design means the creation of a shop drawing, which is the stage of developing the basic design to a level where construction is possible by specifying the exact necessary details. However, due to chronic problems in the construction industry, such as reducing working hours and the lack of design personnel, detailed design is not being appropriately implemented. Considering these characteristics, it is necessary to develop the detailed design process of exterior materials and works based on the domain-expert knowledge of the construction industry using artificial intelligence (AI). Therefore, this study aims to establish a detailed design automation algorithm for AI-based condition-responsive exterior wall panels and their back frames. The scope of the study is limited to "detailed design" performed based on the working drawings during the exterior work process and "stone panels" among exterior materials. First, working-level data on stone works is collected to analyze the existing detailed design process. After that, design parameters are derived by analyzing factors that affect the design of the building's exterior wall and back frames, such as structure, floor height, wind load, lift limit, and transportation elements. The relational expression between the derived parameters is derived, and it is algorithmized to implement a rule-based AI design. These algorithms can be applied to detailed designs based on 3D BIM to automatically calculate quantity and unit price. The next goal is to derive the iterative elements that occur in the process and implement a robotic process automation (RPA)-based system to link the entire "Detailed design-Quality calculation-Order process." This study is significant because it expands the design automation research, which has been rather limited to basic and implemented design, to the detailed design area at the beginning of the construction execution and increases the productivity by using AI. In addition, it can help fundamentally improve the working environment of the construction industry through the development of direct and applicable technologies to practice.

• 한국결정성장학회지
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• 제33권6호
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• pp.216-225
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• 2023

본 연구에서는 냉간 헤딩 공정에서 성형하중과 펀치 금형의 마모 감소를 통한 펀치 수명 증대를 위해 헤딩용 펀치 형상 최적설계를 수행하였다. 기존 생산에 사용되는 냉간 헤딩 펀치와 성형공정에 대한 유한요소해석 시뮬레이션을 통해 성형하중과 유동 특성 분석, 펀치금형에 집중되는 유효응력 및 마모량에 대하여 분석하였으며, 이를 통해 금형 마모와 밀접한 주요 설계인자를 확인하였다. 펀치금형의 최적설계 변수로서는 펀치 금형 포인트각(Point angle), 에지 반경값(Corner radius), 펀치소재재종(die material type), 마찰계수(friction coefficient) 등의 4가지 변수를 대상으로 4인자 3수준 인자 및 변수 수준을 설정하고, 성형해석 시뮬레이션과 다구찌법을 활용하여 설계인자별 영향도를 분석하여 최적의 최적설계 인자를 결정하였다. 본 연구를 통해 얻어진 최적설계변수를 적용하여 냉간 헤딩용 펀치 최적설계 시뮬레이션 결과, 각 펀치에 발생하는 최대유효응력은 최대 8.9 % 감소 효과를, 최대 펀치 마모 깊이는 37 % 감소 효과를, 성형하중은 평균 20% 수준 의 감소효과를 얻을 수 있었다. 현재, 소성 성형제품군이 적용되는 자동차, 건설 플랜트사에서 요구되는 고품질에 대응하면서도 적정 제조원가 절감을 위한 성형성 개선을 위한 성형공정개발 및 금형설계의 최적화가 지속적으로 필요하며, 향후 연구 결과를 현업에 적용하여 제품 성형성 개선 및 금형수명 증대 관리를 위한 기술자료로 활용하고자 한다.