• 제목/요약/키워드: Defect Size

검색결과 1,005건 처리시간 0.029초

오스템퍼링처리한 구상흑연주철에서 인공결함에 대한 피로한도 민감도에 관한 연구 (A Study on the Artificial Defect Sensitivity of Fatigue Limit in Austempered Ductile Iron)

  • 김민건;김진학
    • 열처리공학회지
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    • 제12권3호
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    • pp.215-220
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    • 1999
  • Rotary bending fatigue tests were carried out to investigate the artificial defect sensitivity of fatigue limit in annealed and austempered ductile irons. Artificial defect(hole, diameter${\leq}0.4mm$) machined on specimen surface did not bring about an obvious reduction of fatigue limit in austempered ductile iron as compared with annealed. As a result of investigation on $\sqrt{area}$ c which is the critical artificial defect size. $\sqrt{area}$ c of austempered ductile iron is larger than that of annealed. This means that the crack initiation at artificial defect in austempered ductile iron is more difficult in comparison with annealed. In case that the $\sqrt{area}$ c of artificial defect and graphite nodule are same, the rate of crack initiation for graphite nodule is higher than that of artificial defect.

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연골막하 연골 결손부에 삽입한 제 1형 아교질 지지체의 연골 재생 효과 (Chondrogenic Effect of Transplanted Type I Collagen Scaffold within Subperichondrial Cartilage Defect)

  • 이혁구;손대구;한기환;김준형;이소영
    • Archives of Plastic Surgery
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    • 제32권4호
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    • pp.521-528
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    • 2005
  • The purpose of this research is to find out the degree of cartilage regeneration by inserting the atelo-collagen scaffold obtained from dermis of a calf on cartilage defect site. Dissection underneath the perichondrium by the periosteal elevator on both side of ears of six New Zealand white rabbits were made to expose the cartilage, leaving pairs of circular holes 3, 6, 9 mm width with punches. One hole was left for a control, and on the other hole atelo-collagen scaffold of the same size was transplanted. In postoperative 1, 2, 4 weeks, the tissues were dyed. The length of long axis of neocartilage was measured through an optical microscope with a 0.1 mm graduation at original magnification, ${\times}40$. In the first and second week, both group showed no sign of cartilage regeneration. In the fourth week, regeneration on marginal portions was observed on all groups and the average values of length of long axis of neocartilage according to defect size were as follows: In the cases with 3mm defect, it was $0.85{\pm}0.30mm$ in the control group, and $1.85{\pm}0.38mm$ in the graft group; in the cases with 6 mm defect, $1.33{\pm}0.58mm$ in the control group, and $2.25{\pm}0.46mm$ in the graft group; and in the cases with 9 mm defect, $2.33{\pm}0.77mm$ in the control group, and $4.47{\pm}1.39mm$ in the graft group. This means that the collagen scaffold has an influence on the regeneration of neocartilage. But the relative ratio of the length of neocartilage to cartilage defect size was not significant in the statistics.

원전 증기발생기 세관 결함 크기 예측을 위한 Bagging 신경회로망에 관한 연구 (A Study on Bagging Neural Network for Predicting Defect Size of Steam Generator Tube in Nuclear Power Plant)

  • 김경진;조남훈
    • 비파괴검사학회지
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    • 제30권4호
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    • pp.302-310
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    • 2010
  • 본 논문에서는 원자력 발전소 증기발생기 세관에 발생할 수 있는 결함의 크기측정에 사용되는 Bagging 신경회로망에 대한 연구를 수행하였다. Bagging은 부트스트랩(bootstrap) 샘플링에 기반을 둔 추정기 앙상블을 생성하는 방법이다. 증기발생기 세관의 결함 크기측정을 위하여 다양한 폭과 깊이를 갖는 4가지 결함패턴의 eddy current testing 신호를 생성하였다. 그 다음, 단일 신경회로망(single neural network; SNN)과 Bagging 신경회로망(Bagging neural network; BNN)을 구성하여 각 결함의 폭과 깊이를 추정하였다. SNN과 BNN 추정성능은 최대오차를 이용해서 측정하였다. 실험결과, 결함 깊이 추정시의 SNN과 BNN 최대오차는 0.117mm와 0.089mm 이었다. 또한, 결함 폭 추정 시에는 SNN과 BNN 최대오차는 0.494mm와 0.306mm 이었다. 이러한 실험결과는 BNN 추정성능이 SNN 추정성능보다 우수하다는 것을 보여준다.

Spontaneous healing capacity of rabbit cranial defects of various sizes

  • Sohn, Joo-Yeon;Park, Jung-Chul;Um, Yoo-Jung;Jung, Ui-Won;Kim, Chang-Sung;Cho, Kyoo-Sung;Choi, Seong-Ho
    • Journal of Periodontal and Implant Science
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    • 제40권4호
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    • pp.180-187
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    • 2010
  • Purpose: This study evaluated the spontaneous healing capacity of surgically produced cranial defects in rabbits with different healing periods in order to determine the critical size defect (CSD) of the rabbit cranium. Methods: Thirty-two New Zealand white rabbits were used in this study. Defects of three sizes (6, 8, and 11 mm) were created in each of 16 randomly selected rabbits, and 15-mm defects were created individually in another 16 rabbits. The defects were analyzed using radiography, histologic analysis, and histometric analysis after the animal was sacrificed at 2, 4, 8, or 12 weeks postoperatively. Four samples were analyzed for each size of defect and each healing period. Results: The radiographic findings indicated that defect filling gradually increased over time and that smaller defects were covered with a greater amount of radiopaque substance. Bony islands were observed at 8 weeks at the center of the defect in both histologic sections and radiographs. Histometrical values show that it was impossible to determine the precise CSD of the rabbit cranium. However, the innate healing capacity that originates from the defect margin was found to be constant regardless of the defect size. Conclusions: The results obtained for the spontaneous healing capacity of rabbit cranial defects over time and the underlying factors may provide useful guidelines for the development of a rabbit cranial model for in vivo investigations of new bone materials.

Flap selection for reconstruction of wide palatal defect after cancer surgery

  • Park, Yun Yong;Ahn, Hee Chang;Lee, Jang Hyun;Chang, Jung Woo
    • 대한두개안면성형외과학회지
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    • 제20권1호
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    • pp.17-23
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    • 2019
  • Background: The resection of head and neck cancer can result in postoperative defect. Many patients have difficulty swallowing and masticating, and some have difficulty speaking. Various types of flaps are used for palatal reconstruction, but flap selection remains controversial. Therefore, our study will suggest which flap to choose during palatal reconstruction. Methods: Thirteen patients who underwent palatal reconstruction from 30 January, 1989 to 4 October, 2016 at our institution. Size was classified as small when the width was < $4cm^2$, medium when it was $4-6cm^2$, and large when it was ${\geq}6cm^2$. Based on speech evaluation, the subjects were divided into a normal group and an easily understood group. After surgery, we assessed whether flap selection was appropriate through the evaluation of flap success, complications, and speech evaluation. Results: Defect size ranged from $1.5{\times}2.0cm$ to $5.0{\times}6.0cm$. In four cases, the defect was in the anterior third of the palate, in eight cases it was in the middle, and there was one case of whole palatal defect. There were three small defects, two medium-sized defects, and eight large defects. Latissimus dorsi free flaps were used in six of the eight large defects in the study. Conclusion: The key to successful reconstructive surgery is appropriate selection of the flap with reference to the characteristics of the defect. Depending on the size and location of the defect, the profiles of different flaps should be matched with the recipient from the outset.

레이저 스페클 전단간섭법을 이용한 압력용기 내부결함의 측정 가능한 결함 크기의 평가 (Evaluation of Detectable Defect Size for Inner Defect of Pressure Vessel Using Laser Speckle Shearing Interferometry)

  • 김경석;선상우;최태호;강찬근;나만균;정현철
    • 비파괴검사학회지
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    • 제34권2호
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    • pp.135-140
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    • 2014
  • 최근 압력용기가 다양한 산업분야에서 사용되고 있다. 압력용기의 내부 또는 외부에 결함이 발생하면 대형 사고를 유발하게 된다. 압력용기의 외부에 발생하는 결함은 육안검사를 통해 어느 정도 해결이 가능하지만, 압력용기 내부에 발생하는 결함은 육안검사로는 측정하기 어렵다. 이러한 형태의 결함을 측정하기 위해서는 비파괴검사가 적합하다. 전단간섭법은 광계측을 이용한 비파괴검사법 중 하나이며, 비접촉식으로 전체 측정영역에 대해 실시간으로 한 번의 실험을 통해 결함을 측정할 수 있다는 장점을 지니고 있다. 본 논문에서는 레이저 스페클 전단간섭법을 이용하여 측정할 수 있는 압력용기의 내부에 존재하는 결함 크기를 평가하였다. ASTM A53 Gr.B 재질로 제작된 압력용기 시험편 내부에 인위적인 결함을 가공하고 공압을 이용하여 압력용기에 내압을 가하여 결함을 측정하였다. 실험을 통해 0.2 MPa의 압력차에서도 압력용기의 원래 두께의 25 %의 깊이로 발생한 결함까지는 측정 가능함을 확인하였다.

고해상도 라인 스캔 카메라를 이용한 LCD 점 이물 검출 (Inspection of Point Defects on A LCD panel Using High Resolution Line Cameras)

  • 백승일;곽동민;박길흠
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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    • pp.351-354
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    • 2003
  • To inspect point-defect in LCD pannel, calculate period and eliminated pattern. And then find point-defect to compare block image with each period. First processing, Founded over point defects. To reduce wrong point defect. Next, label point-defects and eliminated not surpass fixed limit-size.

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위상잠금 광-적외선 열화상 기술을 이용한 내분결함의 위치 및 크기 평가 (Defect Sizing and Location by Lock-in Photo-Infrared Thermography)

  • 최만용;강기수;박정학;김원태;김경석
    • 비파괴검사학회지
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    • 제27권4호
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    • pp.321-327
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    • 2007
  • 위상잠금 적외선 열화상기법은 넓은 면적을 동시에 검사할 수 있으며, 결함부와 건전부 사이의 위상 차로부터 결함의 유무를 판단할 수 있다. 지금까지 결함의 크기는 검사자의 주관적 판단으로 평가되어 왔으며, 재현성과 정확성이 부족하였다. 본 논문에서는 결함의 크기와 위치 평가에 있어 정확성과 재현성을 개선하기 위해서 전단위상기법을 제안하였다. 시험에서는 인공결함을 갖는 시험편으로 제안된 기법을 검증하였으며, 결함평가에 영향을 주는 인자를 추출하여 그 영향을 분석하였다.

FCDD 기반 웨이퍼 빈 맵 상의 결함패턴 탐지 (Detection of Defect Patterns on Wafer Bin Map Using Fully Convolutional Data Description (FCDD) )

  • 장승준;배석주
    • 산업경영시스템학회지
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    • 제46권2호
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    • pp.1-12
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    • 2023
  • To make semiconductor chips, a number of complex semiconductor manufacturing processes are required. Semiconductor chips that have undergone complex processes are subjected to EDS(Electrical Die Sorting) tests to check product quality, and a wafer bin map reflecting the information about the normal and defective chips is created. Defective chips found in the wafer bin map form various patterns, which are called defective patterns, and the defective patterns are a very important clue in determining the cause of defects in the process and design of semiconductors. Therefore, it is desired to automatically and quickly detect defective patterns in the field, and various methods have been proposed to detect defective patterns. Existing methods have considered simple, complex, and new defect patterns, but they had the disadvantage of being unable to provide field engineers the evidence of classification results through deep learning. It is necessary to supplement this and provide detailed information on the size, location, and patterns of the defects. In this paper, we propose an anomaly detection framework that can be explained through FCDD(Fully Convolutional Data Description) trained only with normal data to provide field engineers with details such as detection results of abnormal defect patterns, defect size, and location of defect patterns on wafer bin map. The results are analyzed using open dataset, providing prominent results of the proposed anomaly detection framework.

레이저 전단 간섭계를 이용한 압력용기의 내부 결함 평가 (The Evaluation of Thin Pressure Vessel′s Internal Defects by Laser Shearography)

  • 장경영;장석원;현민관
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.929-933
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    • 2003
  • Internal defects of thin pressure vessel used in the power plants or the chemical plants may be created and grow due to corrosion or creep fatigue to reduce the strength and cause critical failure during operation. Therefore it is very important to detect this defect at the early stage. For this purpose, non-destructive, non-contact and highly sensitive method should be considered for on-line application. In this paper, a laser shearographic interferometer is applied to inspect circular defects and notch defects existed inside of thin pressure vessel under the presence of pressure up to 3 times of atmospheric pressure. The influences of the defect shape and size as well as the internal pressure to the characteristic pattern in the shearography fringe are investigated, and the quantitative evaluation of the defect size is tried. Also the experimental results are compared with the destructive test results to show the applicability of this method to the quantitative evaluation of internal defects in the thin pressure vessel.

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