• Title/Summary/Keyword: 3D Printing Scaffold

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CNN 알고리즘을 이용한 인공지지체의 3D프린터 출력 시 실시간 출력 불량 탐지 시스템에 관한 연구 (A Study on Real-Time Defect Detection System Using CNN Algorithm During Scaffold 3D Printing)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제20권3호
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    • pp.125-130
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    • 2021
  • Scaffold is used to produce bio sensor. Scaffold is required high dimensional accuracy. 3D printer is used to manufacture scaffold. 3D printer can't detect defect during printing. Defect detection is very important in scaffold printing. Real-time defect detection is very necessary on industry. In this paper, we proposed the method for real-time scaffold defect detection. Real-time defect detection model is produced using CNN(Convolution Neural Network) algorithm. Performance of the proposed model has been verified through evaluation. Real-time defect detection system are manufactured on hardware. Experiments were conducted to detect scaffold defects in real-time. As result of verification, the defect detection system detected scaffold defect well in real-time.

3D프린팅 활용 생체의료분야 기술동향 (Current Status of Biomedical Applications using 3D Printing Technology)

  • 박석희;박진호;이혜진;이낙규
    • 한국정밀공학회지
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    • 제31권12호
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    • pp.1067-1076
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    • 2014
  • To date, biomedical application of three-dimensional (3D) printing technology remains one of the most important research topics and business targets. A wide range of approaches have been attempted using various 3D printing systems with general materials and specific biomaterials. In this review, we provide a brief overview of the biomedical applications using 3D printing techniques, such as surgical tool, medical device, prosthesis, and tissue engineering scaffold. Compared to the other applications of 3D printed products, the scaffold fabrication should be performed with careful selection of bio-functional materials. In particular, we describe how the biomaterials can be processed into 3D printed scaffold and applied to tissue engineering area.

3D CT Image Processing for 3D Printed Auricular Reconstruction of Unilateral Microtia Patient

  • Roh, Tae Suk;Yun, In Sik
    • Journal of International Society for Simulation Surgery
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    • 제1권2호
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    • pp.80-82
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    • 2014
  • Purpose Microtia is congenital anomaly of external ear and the reconstruction method for the external ear of microtia patient was based on autogenous costal cartilage framework. The application of 3D printing technique in medical science has made more possibility of human tissue restoration, and we tried to apply this technique in auricular reconstruction field. Materials and Methods As for unilateral microtia patient, the contralateral side ear is normal and reconstructive surgeon tried to mimic it for reconstruction of affected ear. So, we obtained facial CT scan of microtia patient and made mirror image of normal side ear. Moreover, to make the 3D scaffold based on the mirror image of normal ear and to apply this scaffold for the auricular reconstruction surgery, we included auriculocephalic sulcus and anterior fixation part. Results We could successfully obtain mirror image of normal ear, auriculocephalic sulcus and anterior fixation part for 3D scaffold printing. Conclusions Using this CT image processing and 3D printing technique, we will be able to make the scaffold for auricular reconstruction of unilateral microtia patient, and perform auricular reconstruction in near future.

3D 바이오프린팅과 무지지체 조직공학 기술 기반 추간판 복합 조직 제작 (Fabrication of Tissue Engineered Intervertebral Disc Using Enable 3D bio-printing and Scaffod-Free technologies)

  • 김병국;박진호;박상혁
    • 대한의용생체공학회:의공학회지
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    • 제39권1호
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    • pp.22-29
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    • 2018
  • Intervertebral disc(IVD) mainly consists of Annulus fibrosus(AF) and Nucleus pulposus(NP), playing a role of distributing a mechanical load on vertebral body. IVD tissue engineering has been developed the methods to achieve anatomic morphology and restoration of biological function. The goal of present study is to identify the possibilities for creating a substitute of IVD the morphology and biological functions are the same as undamaged complete IVD. To fabricate the AF and NP combine biphasic IVD tissue, AF tissue scaffolds have been printed by 3D bio-printing system with natural biomaterials and NP tissues have been prepared by scaffold-free culture system. We evaluated whether the combined structure of 3D printed AF scaffold and scaffold-free NP tissue construct could support the architecture and cell functions as IVD tissue. 3D printed AF scaffolds were printed with 60 degree angle stripe patterned lamella structure(the inner-diameter is 5mm, outer-diameter is 10 mm and height is 3 mm). In the cytotoxicity test, the 3D printed AF scaffold showed good cell compatibility. The results of histological and immunohistochemical staining also showed the newly synthesized collagens and glycosaminoglycans, which are specific makers of AF tissue. And scaffold-free NP tissue actively synthesized glycosaminoglycans and type 2 collagen, which are the major components of NP tissue. When we combined two engineered tissues to realize the IVD, combined biphasic tissues showed a good integration between the two tissues. In conclusion, this study describes the fabrication of Engineered biphasic IVD tissue by using enable techniques of tissue engineering. This fabricated biphasic tissue would be used as a model system for the study of the native IVD tissue. In the future, it may have the potential to replace the damaged IVD in the future.

ADRIGE 트리즈 알고리즘과 실험계획법을 이용한 인공지지체 3D프린팅의 제작문제 해결에 관한 연구 (A Study on Problem Solving of 3D Printing Production of Scaffold Using ADRIGE TRIZ Algorithm and DOE)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제18권2호
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    • pp.92-97
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    • 2019
  • In this paper, we investigated the problems and solutions in the production of scaffolds using commercially available FDM 3D printers. We used ADRIGE TRIZ algorithm to systematically analyze the problems and suggest solutions. We printed scaffolds using suggested solutions. We measured the pore size and printing time of the scaffolds. We have confirmed that the printing precision is greater than 99% and the printing time is decreased by half. The suggested solutions proved its validity through experiments and showed satisfactory results.

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 %.

조직공학을 위한 생체모사용 스캐폴드 개발 (Development of Biomimetic Scaffold for Tissue Engineering)

  • 박수아;이준희;김완두
    • Elastomers and Composites
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    • 제44권2호
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    • pp.106-111
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    • 2009
  • 조직공학은 기능을 상실한 인체를 대체하거나 복원하기 위해 인공대체품을 개발하기 위한 중요한 학문이다. 특히, 세포가 자랄 수 있는 지지체 역할을 하는 스캐폴드는 조직공학 연구를 위한 중요한 부분을 차지하고 있다. 그래서, 3차원 조직공학용 스캐폴드 개발을 위한 다양한 제조 방법을 소개하고자 하였다. 스캐폴드의 일반적인 제조방법으로는 염침출법 (solvent-casting particulate-leaching), 염 발포법 (gas foaming/salt leaching), fiber meshes/fiber bonding 법, 상분리법 (phase separation), melt moulding 법, 동결 건조법 (freeze drying)이 있으며, 넓은 표면적을 가진 스캐폴드 개발방법으로 전기방사법이 알려져 있다. 또한, 최근에는 스캐폴드 내부의 균일한 세포의 침투를 유도하기 위해 적당한 공극크기를 조절하고 우수한 공극률을 가진 스캐폴드를 개발하고자 stereolithography (SLA), selective laser sintering (SLS), fused deposition modeling (FDM), 및 3D printing (3DP) 와 같은 다양한 solid freeform fabrication (SFF) 기술이 개발되어지고 있다.

인공지지체 불량 분류를 위한 기계 학습 알고리즘 성능 비교에 관한 연구 (A Study on Performance Comparison of Machine Learning Algorithm for Scaffold Defect Classification)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제19권3호
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    • pp.77-81
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    • 2020
  • In this paper, we create scaffold defect classification models using machine learning based data. We extract the characteristic from collected scaffold external images using USB camera. SVM, KNN, MLP algorithm of machine learning was using extracted features. Classification models of three type learned using train dataset. We created scaffold defect classification models using test dataset. We quantified the performance of defect classification models. We have confirmed that the SVM accuracy is 95%. So the best performance model is using SVM.

3 차원 프린팅 기술로 제작된 조직공학용 3 차원 구조체 (Three-Dimensional Printed 3D Structure for Tissue Engineering)

  • 박정훈;장진아;조동우
    • 대한기계학회논문집B
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    • 제38권10호
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    • pp.817-829
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    • 2014
  • 조직공학 분야에서의 3 차원 구조체는 세포의 성장과 분화를 유도하기 위한 미세 환경을 제공하고, 재생하고자 하는 조직의 형태를 유지할 수 있도록 지탱해 주는 역할을 수행한다. 현재까지 다양한 생체재료 및 이의 가공 기법들이 이러한 3 차원 구조체를 제작하는데 적용되고 있다. 특히, 3 차원 프린팅 기술은 다양한 재료를 이용하여 원하는 외부 형상과 내부 구조를 제작할 수 있기 때문에 오늘날 조직공학 분야에 많이 이용되고 있고, 이 기술을 통해 새로운 조직공학적 접근 방법도 시도되고 있다. 본 논문에서는, 현재 조직공학 분야에 적용되고 있는 3 차원 프린팅 기술과, 이를 통해 제작된 기능성 인공지지체 및 세포 프린팅 구조체, 그리고 이의 다양한 조직공학적 적용에 대해서 서술하고자 한다.

3D 바이오 프린팅 기술 현황과 응용 (Status and Prospect of 3D Bio-Printing Technology)

  • 김성호;여기백;박민규;박종순;기미란;백승필
    • KSBB Journal
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    • 제30권6호
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    • pp.268-274
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    • 2015
  • 3D printing technology has been used in various fields such as materials science, manufacturing, education, and medical field. A number of research are underway to improve the 3D printing technology. Recently, the use of 3D printing technology for fabricating an artificial tissue, organ and bone through the laminating of cell and biocompatible material has been introduced and this could make the conformity with the desired shape or pattern for producing human entire organs for transplantation. This special printing technique is known as "3D Bio-Printing", which has potential in biomedical application including patient-customized organ out-put. In this paper, we describe the current 3D bio-printing technology, and bio-materials used in it and present it's practical applications.