• 제목/요약/키워드: 3D Print

검색결과 128건 처리시간 0.027초

소프트웨어 중심의 주문 형 의상제작 융합플랫폼 개발을 통한 OSMU콘텐츠 뉴비즈니스 시장 창출 제안 (Suggestion of OSMU Content New Business Market through Development of Integrated Platforms for Software-oriented Tailored Costume Production)

  • 정민수
    • 한국멀티미디어학회논문지
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    • 제21권8호
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    • pp.1021-1026
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    • 2018
  • 3D SCAN enables easy human body measurement via a digital method in the process of film costume production which used to be done manually. Software-oriented computer graphic, which integrates 3D SCAN data in the process of manual film costume production, can induce quick and diverse design outcomes. While, 3D PRINT, which integrates computer graphic data in the process of manual film costume production, can automate the process of special costume production using a digital method. Integration of 3D Scan + Computer Graphic + 3D Print using integrated platforms for tailored costume production as developed in this study allows significant reduction of costume production period and costs. It also allows efficient integration of costume production outcomes in various industries related with OSMU contents in particular. In other words, using it, we can create a new business market that integrates multiple areas of film content, drama content and game content.

머신 러닝을 이용한 인공지지체 기공 크기 예측 모델에 관한 연구 (A Study on Prediction Model of Scaffold Pore Size Using Machine Learning)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제18권4호
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    • pp.46-50
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    • 2019
  • In this paper, We used the regression model of machine learning for improve the print quantity problem when which print scaffold with 400 ㎛ pore using FDM 3d printer. We have difficult to experiment with changing all factors in the field. So we reduced print quantity by selected two factors that most impact the pore size. We printed and measured scaffold 5 times under same conditions. We created regression model using scaffold pore size and print conditions. We predicted pore size of untested print condition using the regression model. After print scaffold with 400 ㎛ pore, we printed scaffold 5 times under same conditions. We compare the predicted scaffold pore size and the measured scaffold pore size. We confirmed that error is less than 1 % and we verified the results quantitatively.

다중 선형 회귀 기반 기계 학습을 이용한 인공지지체의 사각 기공 형태 진단 모델에 관한 연구 (A Study on Square Pore Shape Discrimination Model of Scaffold Using Machine Learning Based Multiple Linear Regression)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제19권4호
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    • pp.59-64
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    • 2020
  • In this paper, we found the solution using data based machine learning regression method to check the pore shape, to solve the problem of the experiment quantity occurring when producing scaffold with the 3d printer. Through experiments, we learned secured each print condition and pore shape. We have produced the scaffold from scaffold pore shape defect prediction model using multiple linear regression method. We predicted scaffold pore shapes of unsecured print condition using the manufactured scaffold pore shape defect prediction model. We randomly selected 20 print conditions from various predicted print conditions. We print scaffold five times under same print condition. We measured the pore shape of scaffold. We compared printed average pore shape with predicted pore shape. We have confirmed the prediction model precision is 99 %.

머신 러닝 회귀 방안을 이용한 인공지지체 기공 크기 예측모델 성능에 관한 연구 (A Study on Prediction Model Performance of Scaffold Pore Size Using Machine Learning Regression Method)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제19권1호
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    • pp.36-41
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    • 2020
  • In this paper, We need to change all print factors when which print scaffold with 400 ㎛ pore using FDM 3d printer. Therefore the print quantity is 10 billion times, So we are difficult to print on workplace. To solve the problem, we used the prediction model based machine learning regression. We preprocessed and learned the securing print condition data, and we produced different kinds of prediction models. We predicted the pore size of scaffolds not securing with new print condition data using prediction models. We have derived the print conditions that satisfy the pore size of 400 ㎛ among the predicted print conditions of pore size. We printed the scaffolds 5 times on the condition. We measured the pore size of the printed scaffold and compared the average pore size with the predicted pore size. We confirmed that error was less than 1%, and we were identify the model with the highest pore size prediction performance of scaffold.

Dicom file을 이용하여 만든 신체 맞춤형 3D print 손가락 보조기 제작 (Produced Body Customized 3D Print Finger Brace using Dicom File)

  • 최현우;박지은;김정훈;서안나;이종민
    • 한국방사선학회논문지
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    • 제13권4호
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    • pp.597-603
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    • 2019
  • 임상에서 사용하는 진단 검사 장치인 전산화 단층촬영기(CT)를 이용하여 Dicom 파일을 획득하였습니다. Dicom 파일과 3D 프로그램, 3D 프린터로 손가락 보조기(Finger brace)를 제작하였습니다. 손가락 보조기(Finger brace)는 인체를 대상으로 하기 때문에 형태의 정밀도가 매우 중요합니다. 3D Print는 정밀도가 우수하고, 재료가 다양하고, 출력 시간이 짧은 이점이 있습니다. 임상에서는 알루미늄 보호대나 의료기 업체의 손가락 보호대가 한정적입니다. 3D 프린터로 손가락 보조기(Finger brace)를 제작하면, 환자의 손가락 외상, 질병, 변형의 치료에 이용할 수 있는 정밀한 형태의 맞춤형 손가락 보조기(Finger brace)를 환자에게 적용할 수 있을 것이라고 기대합니다.

가상현실을 활용한 모델하우스 시스템 (Model House System Using Virtual Reality)

  • 김성근;김동현
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2017년도 추계학술대회
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    • pp.92-93
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    • 2017
  • 부동산 중개소에서 일반인이 자신이 원하는 집을 찾을 때 부동산 중개인 검색대상인 집의 도면을 구매자에게 보여준다. 그러나 일반인은 도면을 보더라도 집의 형태를 명확하기 파악하기 어려운 문제가 있다. 또한 이 논문에서는 이러한 문제를 해결하기 위하여 가상현실 기기를 이용한 모델하우스 시스템을 개발한다. 개발한 시스템은 안드로이드 스마트기기를 사용하여 2D도면을 3D입체 도면으로 보여준다. 그리고 컨트롤러를 이용하여 사용자가 이동하게 함으로서 자신이 원하는 지점을 상세히 살펴볼 수 있게 한다.

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3D 프린트 소재에 따른 선량평가를 통한 볼루스 적용성 평가 (Evaluation of Bolus Applicability through Dose Evaluation According to 3D Print Materials)

  • 김정훈;이득희
    • 한국방사선학회논문지
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    • 제13권2호
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    • pp.241-246
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    • 2019
  • 4차 산업혁명의 기술 중 3D 프린팅 기술의 소재에 따른 선량평가를 통해 볼루스 적용 가능성을 평가하였다. 선량의 평가는 몬테카를로 방식의 MCNPX프로그램을 이용하였으며, 3D 프린트 물성은 ABS, PC, PLA 세 가지로 하였다. 그리하여 볼루스 10 mm와 동일한 효과를 보이는 두께를 산정한 결과 6 MeV 전자선의 경우 ABS 10 mm, PC 9 mm, PLA 9 mm로 나타났다. 6 MV X-선의 경우 ABS 11 mm, PC 10 mm, PLA 9 mm로 나타났다. 본 실험을 통해 3D 프린터 소재로 제작하는 조직등가물질이 볼루스를 대체할 수 있음을 확인할 수 있었다.

Automated Print Quality Assessment Method for 3D Printing AI Data Construction

  • Yoo, Hyun-Ju;Moon, Nammee
    • Journal of Information Processing Systems
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    • 제18권2호
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    • pp.223-234
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    • 2022
  • The evaluation of the print quality of 3D printing has traditionally relied on manual work using dimensional measurements. However, the dimensional measurement method has an error value that depends on the person who measures it. Therefore, we propose the design of a new print quality measurement method that can be automatically measured using the field-of-view (FOV) model and the intersection over union (IoU) technique. First, the height information of the modeling is acquired from a camera; the output is measured by a sensor; and the images of the top and isometric views are acquired from the FOV model. The height information calculates the height ratio by calculating the percentage of modeling and output, and compares the 2D contour of the object on the image using the FOV model. The contour of the object is obtained from the image for 2D contour comparison and the IoU is calculated by comparing the areas of the contour regions. The accuracy of the automated measurement technique for determining, which derives the print quality value was calculated by averaging the IoU value corrected by the measurement error and the height ratio value.

신경회로망기법을 사용한 엇갈린 딤플 유로의 최적설계 (Design Optimization of a Staggered Dimpled Channel Using Neural Network Techniques)

  • 신동윤;김광용
    • 한국유체기계학회 논문집
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    • 제10권3호
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    • pp.39-46
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    • 2007
  • This study presents a numerical procedure to optimize the shape of staggered dimple surface to enhance turbulent heat transfer in a rectangular channel. The RBNN method is used as an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid flow and heat transfer with shear stress transport (SST) turbulence model. The dimple depth-to-dimple print diameter (d/D), channel height-to-dimple print diameter ratio (H/D), and dimple print diameter-to-pitch ratio (D/S) are chosen as design variables. The objective function is defined as a linear combination of heat transfer related term and friction loss related term with a weighting factor. Latin Hypercube Sampling (LHS) is used to determine the training points as a mean of the design of experiment. The optimum shape shows remarkable performance in comparison with a reference shape.

옵셋 인쇄기계 동력규모 변화에 따른 소음 영향 평가 (The Noise Influence Assessment according to the Change of the Offset Type Print Machine's Power)

  • 구진회;권명희;이우석;이재원;박형규;김삼수;윤희경;이규목;정대관;서충열
    • 한국소음진동공학회논문집
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    • 제24권9호
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    • pp.682-686
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    • 2014
  • Nowadays, the needs to revise the classification criteria for noise emission facilities have been suggested by the related industries. Because there existed many reasonable factors in the criteria regarding the noise emission facilities. And the noise emission facility classification criterion of the print machine changed from 50 HP to 100 HP in 2013. But the increasement of the noise emission facility classification criterion of the print machine can cause adverse effects like the bigger noise. So, in this paper, we measured the print machine's sound power level according to the changes of the print machine's power to assess the adverse effects. The measurement method applied with KS I ISO 9614-2(1996). The corelation between the sound power level and the power of print machines was analyzed by regression analysis. In this paper, we found that the sound power level of the print machines can increase about 1.3 dB in the condition of that the power of print machine increases from 50 HP to 100 HP. And we found that the sound power level of the print machines can increase about 1.0 dB for a increasement of 1,000 SPH(sheet per hour) of printing speed. The noise emission characteristics of print machine stuied in this paper will be useful to design the noise reduction plan in the future.