• 제목/요약/키워드: 2D-FDM

검색결과 101건 처리시간 0.031초

FDM 3D프린터 소재에서 방출될 수 있는 휘발성유기화합물 평가 (Evaluation for Volatile Organic Compounds (VOCs) Emitted from Fused Deposition Modeling (FDM) 3D Printing Filaments)

  • 김성호;박해동;정은교
    • 한국산업보건학회지
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    • 제32권2호
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    • pp.153-162
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    • 2022
  • Objectives: Fused deposition modeling (FDM) 3D printer which is one of the material extrusion (MEX) technologies is an additive manufacturing (AM) process. 3D printers have been distributed widely in Korea, particularly in school and office, even at home. Several studies have shown that nanoparticles and volatile organic compounds (VOCs) were emitted from an FDM 3D printing process. The objective of this study was to identify types of chemicals possibly emitted from FDM 3D printing materials such as PLA (polylactic acid), ABS (acrylonitrile butadiene styrene), nylon, PETG (polyethylene terephthalate glycol), PVA (polyvinyl alcohol), PC (polycarbonate) filaments. Methods: 19 FDM 3D printing filaments which have been distributed in Korea were selected and analyzed VOCs emitted of 3D printing materials by headspace gas chromatography mass spectrometry (headspace GC-MS). Subsamples were put into a vial and heated up to 200℃ (500 rpm) during 20 minutes before analyzing FDM 3D printing filaments. Results: In the case of PLA filament, lactide and methyl methacrylate, the monomer components of one, were detected, and the volume ratio ranged 27~93%, 0.5~37% respectively. In the case of ABS filaments, styrene (50.5~59.1%), the monomer components of one, was detected. Several VOCs among acetaldehyde, toluene, ethylbenzene, xylene, etc were detected from each FDM 3D printing filaments. Conclusions: Several VOCs, semi-VOCs were emitted from FDM 3D printing filaments in this study and previous studies. Users were possibly exposed to ones so that we strongly believe that we recommend to install the ventilation system such as a local exhaust ventilation (LEV) when they operate the FDM 3D printers in a workplace.

유한차분법과 유한체적법을 이용한 1차원과 2차원 개수로 흐름해석 (Analysis of 1D and 2D Flows in Open-Channel with FDM and FVM)

  • 김만식;이진희;정찬;박노혁
    • 한국습지학회지
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    • 제10권2호
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    • pp.67-79
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    • 2008
  • 하천에서의 부정류 해석을 위해서 1차원 유한차분법(FDM)인 Abbott-Ionescu scheme과 2차원 유한체적법(FVM)인 근사의 Riemann solver(Osher scheme)에 대하여 살펴보았다. 두 모형은 직선 하도, 약간 굽어진 사행하도 및 사행하도에서의 흐름 문제들에 적용되었으며 결과의 비교는 균일한 직사각형 수로에 대하여 이루어졌다. 하천의 복잡한 형상의 표현하기 위해서는 이를 고려할 수 있는 유한체적법을 이용하였다. 유한차분법과 유한체적법 결과는 수위 및 유량 수문곡선에 대하여 매우 만족스러운 것으로 나타났다. 균일한 직선하도에 대해서는 1차원분석으로도 충분하다는 사실을 파악할 수 있었으며, 사행하도의 경우 흐름을 정확하게 모형화하기 위해서는 2차원 또는 3차원 모형을 사용하여야 할 것이다.

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TRIZ 기법을 이용한 FDM방식 3D프린터 출력물의 휨 현상 개선에 관한 연구 (A Study on Warpage Reduction of FDM 3D Printer Output Using TRIZ Method)

  • 이송연;허용정;박종순
    • 반도체디스플레이기술학회지
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    • 제15권2호
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    • pp.1-5
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    • 2016
  • 3D printer is the equipment of the system for sequentially layer laminated in the materials. Now 3D printer used in various fields such as, semiconductor, electricity automobile, medical and various types of output method and material. In this paper, we studied about the improvement on warpage due to shrinkage of product from 3D printer of FDM(Fused Deposition Modeling) type, we proposed measures systematically to solve warpage problem using of 6SC(6 Step Creativity) method of practical TRIZ. After experimented with product prototypes experiment, we verified effect about solution.

소형 IoT 기기 제작을 위한 FDM 프린팅 공정에서의 내부채움에 따른 물성치 변화 연구 (A Study for the Mechanical Properties with Infill Rate in FDM Process to Fabricate the Small IoT Device)

  • 안일혁
    • 사물인터넷융복합논문지
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    • 제6권3호
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    • pp.75-80
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    • 2020
  • 최근의 IoT 센서의 소형화와 센서의 소형화로 인하여 다른 센서 및 구조물들과의 간섭 및 견고성을 고려하여 더욱 복잡해 지고 있다. 최근 3D 프린팅 기술은 센서 직접 제작이나, 센서 소자를 포함하는 기구를 만드는 분야에 다양하게 적용이 되고 있다. 그 중에서, fused deposition modeling(FDM) 기술은 장비 및 소재의 가격이 상당히 저렴하며, IoT 기기의 제작이 활용이 가능한 가장 유력한 기술중에 하나이다. 그런 FDM 프린팅 기술은 플라스틱 소재 기반의 필라멘트를 녹여서 적층하여 3D 형상을 만들어 내는 기술이며, 최근에 특허 종료와 아울러 오픈 소스 기반의 저가형 프린터가 개발됨으로 일반인들에게도 널리 사용되고 있다. 이런 FDM 기술을 이용하여 출력된 출력물에 있어서 기계적 물성치는 소재의 종류와 다양한 공정 변수들에 의해서 영향을 받는다. 그 중에서도 내부 채움(infill)은 기계적 물성치에도 큰 영향을 주면, 출력 시간에도 영향을 준다. 따라서 본 논문에서 내부 채움과 기계적 물성치 및 출력 시간 사이의 관계를 규명하여, 기계 기구물을 제작할 때 출력 시간과 기계적 물성치를 고려한 최적의 내부 채움 조건 선정 방법을 제시하고자 한다. 제시된 방법을 증명하고자, 다른 공정은 모두 고정하고, 내부 채움 조건만을 변경한 인장 시편을 제작하고, 제작된 시편을 인장 실험을 통하여 내부 채움에 따른 출력물의 기계적 물성치를 비교 분석하였다.

3차원 MT 모델링 기법의 비교 분석 (A Comparative Study of 3D MT Modeling Methods)

  • 한누리;남명진;김희준;송윤호;서정희
    • 지구물리와물리탐사
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    • 제10권2호
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    • pp.154-160
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    • 2007
  • 이 논문에서는 Mackie et al. (1994), Sasaki (1999) 및 Nam et al. (2007)이 개발한 3차원 자기지전류 탐사 모델링 알고리듬의 특징을 자세히 비교 분석하고자 한다. Mackie et al. (1994)과 Sasaki (1999)의 알고리듬은 유한차분법(FDM)에 기초한 반면, Nam et al. (2007)의 알고리듬은 변유한요소법(EFEM)에 기초하고 있다. 이들 세 가지 방법으로 COMMEMI 3D-2 모형의 해를 구하고 적분방정식법의 해와 비교하였으며, 또한 세 가지 격자에 대해 세 개 주파수에서 계산시간을 비교하였다. FDM에 기반을 둔 두 가지 기법에서는 EFEM을 이용하는 경우보다 빠른 시간에 해를 계산할 수 있으며 이때 계산된 겉보기비저항과 위상은 전체적으로 적분방정식법의 해와 잘 일치하였으며 이상체 근처에서만 작은 차이를 보인다. 한편 EFEM에 기초한 알고리듬도 비교적 합리적인 시간 내에 매우 정확한 해를 계산할 수 있으며 지형을 포함한 경우에도 해를 계산할 수 있는 장점이 있다.

Determination of Optimal Adhesion Conditions for FDM Type 3D Printer Using Machine Learning

  • Woo Young Lee;Jong-Hyeok Yu;Kug Weon Kim
    • 실천공학교육논문지
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    • 제15권2호
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    • pp.419-427
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    • 2023
  • In this study, optimal adhesion conditions to alleviate defects caused by heat shrinkage with FDM type 3D printers with machine learning are researched. Machine learning is one of the "statistical methods of extracting the law from data" and can be classified as supervised learning, unsupervised learning and reinforcement learning. Among them, a function model for adhesion between the bed and the output is presented using supervised learning specialized for optimization, which can be expected to reduce output defects with FDM type 3D printers by deriving conditions for optimum adhesion between the bed and the output. Machine learning codes prepared using Python generate a function model that predicts the effect of operating variables on adhesion using data obtained through adhesion testing. The adhesion prediction data and verification data have been shown to be very consistent, and the potential of this method is explained by conclusions.

FDM을 이용한 층유유동장내에서 오염물질확산에 관한 연구 (Numerical Prediction of Contaminant Dispersion within the Laminar Flow Field using FDM)

  • 김양술
    • 한국안전학회지
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    • 제10권2호
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    • pp.56-63
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    • 1995
  • A simulation of contaminant dispersion in a water reservoir has been done using 2-D finite difference method(FDM). The steady state velocity field of the reservoir was computed using stream function-vorticity formulation of Wavier-Stokes equation and continuity equation. Based on the computed steady state velocity field, the transient convective diffusion equation of the contaminant dispersion was computed. For the 1m$\times$1m reservoir model with inlet and outlet attached, it was shown that the center of circulation located toward right. For the numerical values of v =0.01($\textrm{cm}^2$/s) and D=0.6($\textrm{cm}^2$/s) and the flow of 50($\textrm{cm}^3$/s ), it was determined that the outflow had to be shut down in 18 seconds to prevent from severe pollution. Also the required time was computed to be 6 seconds for the inflow of 100 ($\textrm{cm}^3$/s). The result of this study is considered, hopefully, to be useful for the design of the water reservoir systems that are the subjects to various contamination.

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투명조각자기의 고속 FDM 3D 프린팅을 위한 가변 압출 기법 (An Adaptive Extrusion Control Technique for Faster FDM 3D Printing of Lithophanes)

  • 장승호;홍정모
    • 한국CDE학회논문집
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    • 제22권2호
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    • pp.190-201
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    • 2017
  • This paper proposes how to solve a problem of FDM 3D printer's irregular output when changing volume of extrusion, adjusting movement speed of the printer's head and a way to fill new inner part. Existing slicers adjust directly to change the rotation speed of the stepper. In this method, the change of the extrusion area is delayed due to the gap between the stepper and the nozzle, so that precise control is difficult. We control the extrusion area adjusting the moving speed of the print head and making constantly the rotation speed of the stepper. Thus, the output time can be shortened by generating an efficient path having a short travel distance. For evaluation, we applied our method to lithophanes with detailed variation. Comparing existing methods, our method reduced output time at least 30%.

FDM 3D Printing of Environmental Friendly and High Strength Bio-based PC Filaments for Baby Toys

  • Park, Seong Je;Lee, Ji Eun;Park, Jean Ho;Lyu, Min-Young;Park, Keun;Koo, Myung Sool;Jin, Sun Chul;Kim, Ki Yong;Son, Yong
    • Elastomers and Composites
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    • 제52권2호
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    • pp.99-104
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    • 2017
  • Due to the depletion of fossil oil and the increasing oil price, bio-plastic is currently topical. Bio-based plastics are synthesized from plant resources, unlike conventional petroleum-based counterparts. Therefore, the former minimizes global warming and reduces carbon dioxide emission. Fossil polycarbonate (PC)has good mechanical and optical properties, but its synthesis requires bisphenol-A and phosgene gas, which are toxic to humans. To address these problems, the fused deposition 3D printing process (hereafter, FDM) is studied using environmentally-friendly and high-strength bio-based PC. A comparisonof the environmental impact and tensile strength of fossil PC versus bio-based PC is presented herein, demonstrating that bio-based PC is more environmentally-friendly with higher tensile strength than fossil PC. The advantages of bio-based PC are applied in the FDM process for the fabrication of environmentally-friendly baby toys.

3D 프린터를 이용한 임펠러 출력물의 치수 특성 (Dimensional Characteristics of Impeller Output Using 3D Printers)

  • 공정리;김해지
    • 한국기계가공학회지
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    • 제21권9호
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    • pp.56-62
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    • 2022
  • This study analyzed the output precision of 3D printing methods. The inner impeller of the centrifugal compressor was printed in as a sheet with 100% packing density using two methods: field deposition modelling and stereolithography. Dimensional differences between the initial CAD and printed models were evaluated using a 3D scanner. To investigate the dimensional characteristics of the 3D printed impeller, 3D dimension analysis and point dimension analysis were performed. The point dimension analysis was divided into 3D and 2D for comparative analysis.