• Title/Summary/Keyword: 3D Printing defect

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Skull Reconstruction with Custom Made Three-Dimensional Titanium Implant

  • Cho, Hyung Rok;Roh, Tae Suk;Shim, Kyu Won;Kim, Yong Oock;Lew, Dae Hyun;Yun, In Sik
    • Archives of Craniofacial Surgery
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    • v.16 no.1
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    • pp.11-16
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    • 2015
  • Background: Source material used to fill calvarial defects includes autologous bones and synthetic alternatives. While autologous bone is preferable to synthetic material, autologous reconstruction is not always feasible due to defect size, unacceptable donor-site morbidity, and other issues. Today, advanced three-dimensional (3D) printing techniques allow for fabrication of titanium implants customized to the exact need of individual patients with calvarial defects. In this report, we present three cases of calvarial reconstructions using 3D-printed porous titanium implants. Methods: From 2013 through 2014, three calvarial defects were repaired using custom-made 3D porous titanium implants. The defects were due either to traumatic subdural hematoma or to meningioma and were located in parieto-occipital, fronto-temporo-parietal, and parieto-temporal areas. The implants were prepared using individual 3D computed tomography (CT) data, Mimics software, and an electron beam melting machine. For each patient, several designs of the implant were evaluated against 3D-printed skull models. All three cases had a custom-made 3D porous titanium implant laid on the defect and rigid fixation was done with 8 mm screws. Results: The custom-made 3D implants fit each patient's skull defect precisely without any dead space. The operative site healed without any specific complications. Postoperative CTs revealed the implants to be in correct position. Conclusion: An autologous graft is not a feasible option in the reconstruction of large calvarial defects. Ideally, synthetic materials for calvarial reconstruction should be easily applicable, durable, and strong. In these aspects, a 3D titanium implant can be an optimal source material in calvarial reconstruction.

3D Printed Titanium Implant for the Skull Reconstruction: A Preliminary Case Study

  • Choi, Jong-Woo;Ahn, Jae-Sung
    • Journal of International Society for Simulation Surgery
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    • v.1 no.2
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    • pp.99-102
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    • 2014
  • The skull defect can be made after the trauma, oncologic problems or neurosurgery. The skull reconstruction has been the challenging issue in craniofacial fields for a long time. So far the skull reconstruction with autogenous bone would be the standard. Although the autogenous bone would be the ideal one for skull reconstruction, donor site morbidity would be the inevitable problem in many cases. Meanwhile various types of allogenic and alloplastic materials have been also used. However, skull reconstruction with many alloplastic material have produced no less complications including infection, exposure, and delayed wound healing. Because the 3D printing technique evolved so fast that 3D printed titanium implant were possible recently. The aim of this trial is to try to restore the original skull anatomy as possible using the 3D printed titanium implant, based on the mirrored three dimensional CT images based on the computer simulation. Preoperative computed tomography (CT) data were processed for the patient and a rapid prototyping (RP) model was produced. At the same time, the uninjured side was mirrored and superimposed onto the traumatized side, to create a mirror-image of the RP model. And we fabricated Titanium implant to reconstruct three-dimensional orbital structure in advance, using the 3D printer. This prefabricated Titanium-implant was then inserted onto the defected skull and fixed. Three dimensional printing technique of titanium material based on the computer simulation turned out to be very successful in this patient. Individualized approach for each patient could be an ideal way to manage the traumatic patients in near future.

Certification Proposal for 3D Printing Technology Integrated Aviation Parts (3D 프린팅 기술 접목 항공부품의 인증 제안)

  • Park, Tae-Jin;Choi, Jeong-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.267-272
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    • 2021
  • This study would like to propose a certification of aviation components manufactured through 3D printing. Currently, many types of 3D printers are being used in various industries. Among them, a lot of research is being done in the aviation sector to manufacture drones and aviation components. However, the current level of 3D printer technology and the application of aviation components using it are lacking in many problems and related airworthiness certification standards. Furthermore, clear certification criteria for conformity and coherence are rarely presented. Therefore, we would like to propose matters related to certification of 3D printed equipment for application as aviation components. It is expected that 3D printing equipment will improve precision, reduce defect rate, sagging problem, and bed leveling problem will be solved in the future, and certification standards will be clearly established. In addition, we hope that the reliability of aviation components applied with 3D printing technology will be improved and the relevant certification standards will be further developed.

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

  • Woo Young Lee;Jong-Hyeok Yu;Kug Weon Kim
    • Journal of Practical Engineering Education
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    • v.15 no.2
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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.

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

  • Lee, Song-Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.4
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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 %.

A Study on Prediction Model of Scaffold Appearance Defect Using Machine Learning (기계 학습을 이용한 인공지지체 외형 불량 예측 모델에 관한 연구)

  • Lee, Song-Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.2
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    • pp.26-30
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    • 2020
  • In this paper, we studied the problem if the experiment number occurring in order to identify defect in scaffold. We need to change each of the 5 print factor to predict defect when printing disk type scaffold using FDM 3d printer. So then the number of scaffold print will be more than 100,000 times. This experiment number is difficult to perform in the field. In order to solve this problem, we have produced a prediction model based on machine learning multiple linear regression using print conditions and defect scaffold data for print conditions. The prediction model produced was verified through experiments. The verification confirmed that the error was less than 0.5 %. We have confirmed that satisfied within the target margin of error 5 %.

Three-dimensional bio-printing and bone tissue engineering: technical innovations and potential applications in maxillofacial reconstructive surgery

  • Salah, Muhja;Tayebi, Lobat;Moharamzadeh, Keyvan;Naini, Farhad B.
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.42
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    • pp.18.1-18.9
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    • 2020
  • Background: Bone grafting has been considered the gold standard for hard tissue reconstructive surgery and is widely used for large mandibular defect reconstruction. However, the midface encompasses delicate structures that are surrounded by a complex bone architecture, which makes bone grafting using traditional methods very challenging. Three-dimensional (3D) bioprinting is a developing technology that is derived from the evolution of additive manufacturing. It enables precise development of a scaffold from different available biomaterials that mimic the shape, size, and dimension of a defect without relying only on the surgeon's skills and capabilities, and subsequently, may enhance surgical outcomes and, in turn, patient satisfaction and quality of life. Review: This review summarizes different biomaterial classes that can be used in 3D bioprinters as bioinks to fabricate bone scaffolds, including polymers, bioceramics, and composites. It also describes the advantages and limitations of the three currently used 3D bioprinting technologies: inkjet bioprinting, micro-extrusion, and laserassisted bioprinting. Conclusions: Although 3D bioprinting technology is still in its infancy and requires further development and optimization both in biomaterials and techniques, it offers great promise and potential for facial reconstruction with improved outcome.

A Study on Shape Warpage Defect Detecion Model of Scaffold Using Deep Learning Based CNN (CNN 기반 딥러닝을 이용한 인공지지체의 외형 변형 불량 검출 모델에 관한 연구)

  • Lee, Song-Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.99-103
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    • 2021
  • Warpage defect detecting of scaffold is very important in biosensor production. Because warpaged scaffold cause problem in cell culture. Currently, there is no detection equipment to warpaged scaffold. In this paper, we produced detection model for shape warpage detection using deep learning based CNN. We confirmed the shape of the scaffold that is widely used in cell culture. We produced scaffold specimens, which are widely used in biosensor fabrications. Then, the scaffold specimens were photographed to collect image data necessary for model manufacturing. We produced the detecting model of scaffold warpage defect using Densenet among CNN models. We evaluated the accuracy of the defect detection model with mAP, which evaluates the detection accuracy of deep learning. As a result of model evaluating, it was confirmed that the defect detection accuracy of the scaffold was more than 95%.

Irregular surface output using FDM (Fused Deposition Modeling) 3D printer (FDM(Fused Deposition Modeling) 방식 3D 프린터를 이용한 불규칙한 표면 출력)

  • Lee, Jung-Soo;Cha, Kyung-Chul
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.32 no.1
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    • pp.33-39
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    • 2022
  • As 3D printer-related patents expire and major technologies are disclosed, the price of 3D printers is dropping, creating an environment where you can easily find the product you want. In particular, the cheapest FDM (Fused Deposition Modeling) 3D printer is being used in various fields. The FDM method can be manufactured without collapsing of the shape only by attaching a support under certain conditions when outputting the shape. When printing a shape without a support, the irregular surface that occurs at a certain angle is a defect in the product, but it is considered that it can be used as another fun factor in terms of arts and crafts. In this paper, to obtain such an irregular surface, factors that can affect the output were controlled and only the output angle was tested as a displacement factor. As a result of the experiment, it was possible to obtain an irregular surface without the filament flowing down when printing at an angle of 62° to 70° from the vertical. Also, artificially irregular surfaces were applied to craft products.

Mandible Reconstruction with 3D Virtual Planning

  • Woo, Taeyong;Kraeima, Joep;Kim, Yong Oock;Kim, Young Seok;Roh, Tai Suk;Lew, Dae Hyun;Yun, In Sik
    • Journal of International Society for Simulation Surgery
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    • v.2 no.2
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    • pp.90-93
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    • 2015
  • The fibula free flap has now become the most reliable and frequently used option for mandible reconstruction. Recently, three dimensional images and printing technologies are applied to mandibular reconstruction. We introduce our recent experience of mandibular reconstruction using three dimensionally planned fibula free flap in a patient with gunshot injury. The defect was virtually reconstructed with three-dimensional image. Because bone fragments are dislocated from original position, relocation was necessary. Fragments are virtually relocated to original position using mirror image of unaffected right side of the mandible. A medical rapid prototyping (MRP) model and cutting guide was made with 3D printer. Titanium reconstruction plate was adapted to the MRP model manually. 7 cm-sized fibula bone flap was designed on left lower leg. After dissection, proximal and distal margin of fibula flap was osteotomized by using three dimensional cutting guide. Segmentation was also done as planned. The fibula bone flap was attached to the inner side of the prebent reconstruction plate and fixed with screws. Postoperative evaluation was done by comparison between preoperative planning and surgical outcome. Although dislocated condyle is still not in ideal position, we can see that reconstruction was done as planned.