• 대한기계학회논문집A
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• 제41권2호
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• pp.103-109
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• 2017

AMM(Additive Metal Manufacturing)이라 호칭되는 3차원 금속 프린팅(metal 3-D printing) 공정은 금속분말(metal powder)을 적층 재료로 사용하여 기계적부품용 실형상 금속 파트(metallic parts)를 직접 조형하여 제조한다. 한편, 조형 파트형상의 STL모델에 존재하는 기하학적 오류들과 특징형상들의 특이성으로 인하여 조형 작업 중에 내부에 결함들이 포함된 실형상 파트가 조형될 가능성이 존재하게 되며 이로 인해 3차원 금속 프린팅 조형공정 자체의 신뢰성에 문제를 야기할 수 있다. 본 논문에서는 이러한 조형작업 중 발생할 수 있는 결함들을 미리 진단, 분석하고 수정하기 위하여 첫째, 조형 전에 STL 형상모델의 진단분석을 통하여 결함요소를 사전에 탐지하고 둘째, 적층 단면내 조형 공구 경로상에 실제로 포함된 결함들을 분석하고 이를 수정하기 위한 조형 파트 진단 및 조형 공구 경로 검증 연구방법을 제시하였다. 또한 DED(direct energy deposition) 공정을 기준으로 2가지 STL 형상파트 사례들에 대하여 제시한 연구방법의 case study를 수행하였다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2012년도 제43회 하계 정기 학술대회 초록집
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• pp.126-126
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• 2012

In past decades, the themal inkjet (TIJ) printer has been widely used as one of the most well-known digital printing technology due to its low cost, and high printing quality. Since the printing speed of TIJ printers are much slower than that of laser printers, however, there has been intensive efforts to raise the printing speed of TIJ printers. One of the most plausible methods to raise the printing speed of TIJ printers is to adopt a page-wide array TIJ printhead. To accomplish this goal, the high efficiency inkjet heating resistor films should be developed to settle the high power consumption problem of a page-wide array TIJ printhead. In this study, we investigated noble metal based multicomponent thin film resistor films prepared by atomic layer deposition (ALD) for a high efficiency inkjet printhead. Design concept, preparation, material properties of noble metal based multicomponent thin films will be discussed in terms of mutlfunctionality.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 추계학술대회 논문집
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• pp.689-693
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• 2005

Inkjet printing is a non-contact and direct writing associated with a computer. In the industrial field, there have been many efforts to utilize the inkjet printing as a new way of manufacturing, especially for electronic devices. For the application of inkjet printing to electronic field, one of the key factors is exact realization of designed images into printed patterns. In this work, micro patterning for conducting line has been studied using the piezoelectric print head and silver nano ink. Dimensions of printed images have been predicted in terms of print resolution and diameter of a single dot. The predicted and the measured values showed consistent results. Using the results, the design capability for industrial inkjet printing could be achieved.

• 한국레이저가공학회지
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• 제17권4호
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• pp.20-23
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• 2014

In printed electronics, printing rolls are used to transfer electronic ink onto a flexible substrate. Generally printing rolls are patterned in microscale by the indirect laser method. Since based on the wet etch process, the indirect method is neither environment-friendly nor suitable for making a printing roll with patterns narrower than $20{\mu}m$. In this paper, we have directly engraved micro-patterns into a Zn-coated metal specimens using a picosecond laser in order both to engrave $10{\mu}m$-wide patterns and to improve the pattern profile. Experiments showed that it is possible to engrave $10{\mu}m$-wide patterns with an a rectangular-shaped profile which is necessary for the dimensionally accurate printing.

• 디지털융복합연구
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• 제18권11호
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• pp.187-194
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• 2020

본 연구는 최근 새로운 제조 수단으로 각광받고 있는 3D프린팅 기술의 통합제어 시스템과 품질개선을 위한 모니터링 SW 기술개발을 위한 프레임워크 및 연구개발 방향을 제시하고자 한다. 이를 위해 본 연구에서는 금속프린팅 기술로 조명되고 있는 DED와 PBF 3D프린팅 기술의 통합 제어기술 개발 Framework와 최근 반도체 장비 등에서 큰 관심을 받고 있는 음향센서를 이용한 모니터링 기술 등 품질 개선을 위한 4가지 모니터링 기술을 제안 소개하고자 한다. 본 연구를 위하여, 국내 3D프린팅 전문기업인 (주)컨셉션, 원광이엔텍(주), (주)디이엔티 등에서 개발 중인 국내 최신 금속 3D프린팅 시스템 장비를 활용하여 연구하였으며(1KW급 Dual Laser PBF 및 DED 프린팅 시스템), 2017년 이래 지속적인 연구개발을 수행해온 경험을 바탕으로 다음세대 3D프린팅 개발자를 위한 연구초안을 제시함으로서 국내 3D프린팅 기술 발전 및 연구개발 협력을 위한 기초자료를 제시하고자 한다.

• 한국정밀공학회지
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• 제23권8호
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• pp.22-26
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• 2006

• 핵의학기술
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• 제28권1호
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• pp.35-40
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• 2024

Purpose: To improve the image quality in positron emission tomography (PET), the attenuation correction technique based on the computed tomography (CT) data is important process. However, the artifact is caused by metal material during PET/CT scan, and the image quality is degraded. Therefore, the purpose of this study was to evaluate image quality according to with and without iterative metal artifact reduction (iMAR) algorithm using customized 3D printing phantom. Materials and Methods: The Hoffman and Derenzo phantoms were designed. To protect the gamma ray transmission and express the metal portion, lead substance was located to the surface. The SiPM based PET/CT was used for acquisition of PET images according to application with and without iMAR algorithm. The quantitative methods were used by signal to noise ratio (SNR), coefficient of variation (COV), and contrast to noise ratio (CNR). Results and Discussion: The results shows that the image quality applying iMAR algorithm was higher 1.15, 1.19, and 1.11 times than image quality without iMAR algorithm for SNR, COV, and CNR. Conclusion: In conclusion, the iMAR algorithm was useful for improvement of image quality by reducing the metal artifact lesion.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.1806-1809
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• 2008

Study that form micro pattern by direct ink jet printing method is getting attention recently. Direct ink jet printing spout fine droplet including nano metal particle by force or air pressure. There is reason which ink jet printing method is profitable especially in a various micro-patterning technology. It can embody patterns directly without complex process such as mask manufacture or screen-printing for existent lithography. In this study, research of a technology that ejects fine droplet form of Pico liter and forms metal micro pattern was carried with inkjet head of piezoelectricity drive system. Droplet established pattern while ejecting consecutively and move on the surface at the fixed speed. Patterns formed in ink are mixed with organic solvent and polymer that act as binder. So added thermal hardening process after evaporate organic solvent at isothermal after printing. I executed high frequency special quality estimation of CPW transmission line to confirm electrical property of manufactured circuit board. We tried a large area printing to confirm application possibility of an ink jet technology.

• 한국기계가공학회지
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• 제21권5호
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• pp.1-8
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• 2022

Fused deposition modeling (FDM), based on stacking a continuous filament of polymer or composite materials, is well matured and is thus widely used in additive manufacturing technology. To advance FDM-based 3D printing technology, the mechanical properties of additively manufactured composite materials must be improved. In this study, we proposed a novel FDM 3D printing process using metal wire-polymer composites, enabling enhanced mechanical properties. In addition, we developed a new type FDM filament of copper wire wrapped in nylon material for stable 3D printing without thermal damage during the printing process. After FDM printing of the copper wire-nylon composite filament, we conducted a tensile test to investigate the mechanical behavior of the printed composite materials. The experimental results confirmed that the tensile strength of the 3D-printed metal wire-polymer composites was higher than that of the conventional single polymer material. Thus, we expect that the FDM printing process developed in this study may be promising for high-load-bearing applications.

• 한국분말재료학회지
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• 제28권3호
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• pp.208-215
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• 2021

Metal three-dimensional (3D) printing is an important emerging processing method in powder metallurgy. There are many successful applications of additive manufacturing. However, processing parameters such as laser power and scan speed must be manually optimized despite the development of artificial intelligence. Automatic calibration using information in an additive manufacturing database is desirable. In this study, 15 commercial pure titanium samples are processed under different conditions, and the 3D pore structures are characterized by X-ray tomography. These samples are easily classified into three categories, unmelted, well melted, or overmelted, depending on the laser energy density. Using more than 10,000 projected images for each category, convolutional neural networks are applied, and almost perfect classification of these samples is obtained. This result demonstrates that machine learning methods based on X-ray tomography can be helpful to automatically identify more suitable processing parameters.