FDM기술 에서 원형단면 필라멘트 재료의 노즐 유입속도에 따른 압출량

김민경(M. K. Kim),최용선(Y. S. Choi),이인환(I. H. Lee),김호찬(H. C. Kim),조해용(H. Y. Cho),김범근(B. K. Kim) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11

The additive manufacturing technology(AM) has been used for a variety of prototyping. Recently, the study of a variety of additive manufacturing technology has been conducting to fabricate the actual usable product. The most commonly used techniques are FDM technology on the additive manufacturing. FDM technique has the advantage that the material and equipment is low. However, the surface roughness of an FDM structure has a disadvantage not superior to other additive manufacturing technology. In this study, We configured the FDM system for perform study to improve the surface roughness of the fabricated structure using FDM technology. Also, We were quantified the Filament material extrusion amount of FDM system through the experiment.

FDM 방식 3D 프린터에 대한 딥러닝 기반 물성 추정

임주현(Joo Hyeon Im),김원곤(Wongon Kim),안성훈(Sung-Hoon Ahn),윤병동(Byeng Dong Youn) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11

Additive manufacturing (AM) is playing a major role in Industry 4.0. AM can simplify the fabrication of complex shapes while minimizing manufacturing time and cost. However, the poor surface quality and weak mechanical properties of the output hinder the broad application of AM. In this study, we propose a deep learning-based method for estimating the mechanical property in a fused deposition modeling-type 3D printer. Acceleration signals were acquired in the process of outputting a tensile specimen through construction of a test-bed. In addition, a tensile test was performed using the specimen to collect information on mechanical properties. After that, features were extracted from the divided signals to analyze the correlation with the mechanical properties. Finally, the quality of highly correlated property was estimated through deep neural network. We confirmed that deep learning-based method is good at estimating property through mean square error loss and root mean square error.

FDM에서 SLICE INTERVAL이 시작품의 표면에 미치는 영향

하만경,전재억 한국공작기계학회 2002 한국생산제조학회지 Vol.11 No.4

The FD process is analogous to the direct piston extrusion process where the cold feed filament acts as a piston, extruding the molten filament from the heated liquefier through a nozzle. The extruded filament is deposited on top of fixtureless platform, where the liquefier and the nozzle move in X and Y direction control by computer based on the part geometry. After the first layer, the Z platform indexes down and the next layer get deposited on top of the first layer, the layer by layer building process introduces surface problem. This paper describes effect of slice interval of the parts built by fused deposition modelling rapid prototyping system.

FDM 방식 3D 프린터에 대한 딥러닝 기반 물성 추정

임주현(Joo Hyeon Im),김원곤(Wongon Kim),안성훈(Sung-Hoon Ahn),윤병동(Byeng Dong Youn) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11

Additive manufacturing (AM) is playing a major role in Industry 4.0. AM can simplify the fabrication of complex shapes while minimizing manufacturing time and cost. However, the poor surface quality and weak mechanical properties of the output hinder the broad application of AM. In this study, we propose a deep learning-based method for estimating the mechanical property in a fused deposition modeling-type 3D printer. Acceleration signals were acquired in the process of outputting a tensile specimen through construction of a test-bed. In addition, a tensile test was performed using the specimen to collect information on mechanical properties. After that, features were extracted from the divided signals to analyze the correlation with the mechanical properties. Finally, the quality of highly correlated property was estimated through deep neural network. We confirmed that deep learning-based method is good at estimating property through mean square error loss and root mean square error.

FDM 3D프린팅 기반 VR컨트롤러용 맞춤형보조기기의 제작

김수현(Su-Hyun Kim),박지혜(Ji-Hye Park),박지영(Ji-Young Park),김승권(Seung-Gwon Kim) 한국산업기술융합학회(구. 산업기술교육훈련학회) 2023 산업기술연구논문지 (JITR) Vol.28 No.2

VR기술 구현을 가능하게 하는 핵심장치인 VR컨트롤러는 사용자의 동작을 감지하여 사용자와 VR환경을 연결하는 매개체 역할을 한다. VR사용자는 자신의 체형과 감각을 기반으로 VR컨트롤러를 접촉하게 되며, 기존의 정형화된 VR컨트롤러에 맞춤형보조기기를 적용하여 VR기기의 사용성 개선이 가능하다. VR기기의 사용성 개선을 위한 과정의 일환으로 VR컨트롤러에 조립대응하는 맞춤형보조기기의 조립성 및 제작공정효율 개선에 초점을 맞추어 제작이 진행된다. 맞춤형보조기기의 시제품제작의 수정 및 보완을 위해 다품목 소량생산 방식의 도입이 필요하며 3D프린팅은 이를 충족하는 유연생산시스템 중 하나이다. 본 연구에서는 (1) VR컨트롤러용 맞춤형 보조기기의 제작에 사용되는 PLA소재에 대해 인장시험을 실시하여 기계적 특성을 파악하고, (2) VR컨트롤러와 바디의 체결에 적용되는 레버의 안전설계를 위한 요구단면적을 파악하였다. 그리고 (3) 맞춤형보조기기의 조립성 개선과 공정효율 향상을 위해 시제품의 수정보완을 수행하였다. 이를 통해 FDM3D프린팅 기반 맞춤형보조기기 개발의 적합성을 확인하고 그 활용성을 제안하고자 한다. VR controllers, which are key devices for implementing VR technology, play a role as a mediator that connects users and VR environments by detecting users' movements. VR users come into contact with VR controllers based on their own physique and senses, and the usability of VR devices can be improved by applying custom assistive devices to existing standardized VR controllers. As part of the process to improve the usability of VR devices, the focus of this study is on improving the assembly and production process efficiency of custom assistive devices that are compatible with VR controllers. To produce prototype custom assistive devices and make modifications, a small-scale production method for multiple items is required, and 3D printing is one of the flexible production systems that satisfies this requirement. In this study, (1) tensile tests were conducted on PLA material used to make custom assistive devices for VR controllers to determine their mechanical characteristics, and (2) for the safety design of the lever applied to the VR controller and body The required cross-sectional area was identified. And (3) modifications were made to the prototypes to improve their assembly and production process efficiency. Through this research, we confirm the suitability of developing custom assistive devices for VR controllers based on FDM 3D printing and propose their practical use.

FDM 3D Printer의 층간 충진율에 따른 강도변화

강용구(Yong-Goo Kang),권현규(Hyun-Kyu Kweon),신근식(Geun-Sik Shin) 한국기계가공학회 2019 한국기계가공학회지 Vol.18 No.3

Recently, FDM-type 3D printer technology has been developed, and efforts have been made to improve the output formability and characteristics further. Through this, 3D printers are used in various fields, and printer technologies are suggested according to usage, such as FDM, SLA, DLP, and SLM. In particular, the FDM method is the most widely used, and the FDM method technology is being developed further. The characteristics of the output are produced by the FDM-type 3D printer, which is determined by various factors, and particularly the perspective of the Inter-Layer Fill Factor, which is the volume ratio of the laminated material that exerts a direct influence. In this study, the Inter-Layer Fill Factor is theoretically obtained by presenting the internal space between each layer according to the laminate thickness as a cross-sectional shape model, and the cross section of the actual laminated sample is compared with the theoretical model through experiments. Then, the equation for the theoretical model is defined, and the strength change according to each condition (tensile strength of material, reduction slope, strength reduction rate, and output strength) is confirmed. In addition, we investigated the influence on the correlation and strength between laminate thickness and the Inter-Layer Fill Factor.

3D 프린팅용 금속 입자 필라멘트의 물성 및 차폐 능력 평가

박기석(Ki-Seok Park),최우전(Woo-Jeon Choi),김동현(Dong-Hyun Kim) 한국방사선학회 2021 한국방사선학회 논문지 Vol.15 No.5

3D 프린팅 FDM방식의 재료인 필라멘트 중 차폐성능을 지닌 필라멘트는 국내에 판매되지 않고 있으며 관련 연구도 미비하다. 이에 본 연구는 금속 입자가 함유된 필라멘트의 물성과 방사선의 차폐능력을 평가하여 3D 프린트를 이용한 방사선 차폐체 개발의 기초자료를 제공하고자 한다. 금속입자 강화재가 함유된 금속 필라멘트 5가지를 선정 후 ASTM의 평가방법을 이용하여 인장강도, 밀도, XRD, 무게측정 등 물성을 평가하고 방사선 차폐능력을 알아보기 위하여 한국산업표준의 방호용구류 시험방법에 따라서 방사선 차폐율을 구하였다. 인장강도는 PLA + SS가 가장 높았고 ABS + W가 가장 낮았으며 밀도는 ABS + W 가 3.13 g/cm3으로 가장 높게 나타났다. XRD결과 시편의 표면의 입자의 XRD peak 패턴이 각 입자 강화재 분말 금속의 패턴과 일치함을 확인 할 수 있어 프린트된 시편이 분말금속이 함유 되었음을 확인하였다. 3D 프린트 복합 필라멘트별 차폐효과는 ABS + W, ABS + Bi, PLA + SS, PLA + Cu, PLA + Al의 순서로 실효원자번호와 밀도에 비례하여 차폐율이 높게 나타났다. 본 연구에서는 강화재로 금속 분말이 함유된 금속입자 복합 필라멘트는 방사선의 차폐능력을 가지는 것이 확인되었으며 향후 방사선 차폐용 필라멘트의 사용가능성을 확인하였다. It is hard to get Filaments which are materials of the 3D printing Fused Deposition Modeling(FDM) method as radiation shielding in Korea. and also related research is insufficient. This study aims to provide basic data for the development of radiation shields using 3D printing by evaluating the physical properties and radiation shielding capabilities of filaments containing metal particles. after selecting five metal filaments containing metal particle reinforcement materials, the radiation shielding rate was calculated according to the Korean Industrial Standard s protective equipment test method to evaluate physical properties such as tensile strength, density, X-ray Diffraction(XRD), and weight measurement using ASTM s evaluation method. In the tensile strength evaluation, PLA + SS was the highest, ABS + W was the lowest, and ABS + W is 3.13 g/cm3 which value was the highest among the composite filaments in the density evaluation. As a result of the XRD, it may be confirmed that the XRD peak pattern of the particles on the surface of the specimen coincides with the pattern of each particle reinforcing material powder metal, and thus it was confirmed that the printed specimen contained powder metal. The shielding effect for each 3D printed composite filament was found to have a high shielding rate in proportion to the effective atomic number and density in the order of ABS + W, ABS + Bi, PLA+SS, PLA + Cu, and PLA + Al. In this study, it was confirmed that the metal particle composite filament containing metal powder as a reinforcing material has radiation shielding ability, and the possibility of using a radiation shielding filament in the future.

3D printing of multiple container models and their trajectory tests in calm water

Li, Yi,Yu, Hanqi,Smith, Damon,Khonsari, M.M.,Thiel, Ryan,Morrissey, George,Yu, Xiaochuan Techno-Press 2022 Ocean systems engineering Vol.12 No.2

More and more shipping containers are falling into the sea due to bad weather. Containers lost at sea negatively affect the shipping line, the trader and the consumer, and the environment. The question of locating and recovering dropped containers is a challenging engineering problem. Model-testing of small-scaled container models is proposed as an efficient way to investigate their falling trajectories to salvage them. In this study, we first build a standard 20-ft container model in SOLIDWORKS. Then, a three-dimensional (3D) geometric model in the STL (Standard Tessellation Language) format is exported to a Stratasys F170 Fused Deposition Modeling (FDM) printer. In total, six models were made of acrylonitrile styrene acrylate (ASA) and printed for the purpose of testing. They represent three different loading conditions with different densities and center of gravity (COG). Two samples for each condition were tested. The physical models were dropped into the towing tank of University of New Orleans (UNO). From the experimental tests, it is found that the impact of the initial position after sinking can cause a certain initial rolling velocity, which may have a great impact on the lateral displacement, and subsequently affect the final landing position. This series of model tests not only provide experimental data for the study of the trajectory of box-shape objects but also provide a valuable reference for maritime salvage operations and for the pipeline layout design.

FDM을 기반으로한 3차원 전자회로의 성형

오성택(S. T. Oh),이인환(I. H. Lee),김호찬(H. C. Kim),조해용(H. Y. Cho) 한국기계가공학회 2013 한국기계가공학회 춘추계학술대회 논문집 Vol.2013 No.11

FDM방식 삼차원프린터의 기초성형 특성파악

장종명(Z. M. Zhang),정믿음(M. E. Jung),홍주표(J. P. Hong) 한국소성가공학회 2016 한국소성가공학회 학술대회 논문집 Vol.2016 No.4