• Title/Summary/Keyword: Crack Defect

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Classification of Welding Defects in Austenitic Stainless Steel by Neural Pattern Recognition of Ultrasonic Signal (초음파신호의 신경망 형상인식법을 이용한 오스테나이트 스테인레스강의 용접부결함 분류에 관한 연구)

  • Lee, Gang-Yong;Kim, Jun-Seop
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.4
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    • pp.1309-1319
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    • 1996
  • The research for the classification of the natural defects in welding zone is performd using the neuro-pattern recognition technology. The signal pattern recognition package including the user's defined function is developed to perform the digital signal processing, feature extraction, feature selection and classifier selection, The neural network classifier and the statistical classifiers such as the linear discriminant function classifier and the empirical Bayesian calssifier are compared and discussed. The neuro-pattern recognition technique is applied to the classificaiton of such natural defects as root crack, incomplete penetration, lack of fusion, slag inclusion, porosity, etc. If appropriately learned, the neural network classifier is concluded to be better than the statistical classifiers in the classification of the natural welding defects.

Design of Zero-Stress Encapsulation for Mechanical Stability of Flexible OLED Displays (유연 OLED 디스플레이의 기계적 안정성을 위한 제로 스트레스 봉지막 설계)

  • Jeong, Eun Gyo
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.1
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    • pp.39-43
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    • 2022
  • In this paper, a study was conducted on encapsulation technology for high mechanical stability of flexible displays. First, unlike conventional encapsulation barrier that exclude cracks as much as possible for low water vapor transmission rate (WVTR), mechanical properties were improved by using a defect suppression mechanism introduced with crack arresters. The zero-stress encapsulation barrier optimizes the residual stress of the thin film based to improve the internal mechanical stability. The zero-stress encapsulation barrier was applied to the organic light emitting diodes (OLEDs) to confirm its characteristics and lifetime. Due to improved internal mechanical stability, it has a longer lifetime more than 35% compared to conventional encapsulation technologies. As the zero-stress encapsulation barrier proposed in this study does not require additional deposition process, it is not difficult to apply it. Based on various advantages, it is expected to play an important role in flexible displays.

Wafer Edge Defect Inspection Device R&D (웨이퍼 엣지 결함(Chip & Crack) 인식 장비 R&D)

  • Kim, Seong-Jin;Kwon, Hyeok-Min;O, Min-Seo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.881-883
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    • 2022
  • 고객사에 납품하는 웨이퍼의 안정적인 공급을 위한 웨이퍼 엣지의 결함 검출 장비다. 본 연구에서는 OpenCV와 임베디드 시스템, 머신러닝, 전자 회로 그리고 센서/카메라 기술을 핵심 기술로 R&D 한다. 고객사에서 불량 웨이퍼 발생에 대응하기 위한 장비의 데이터를 생산하여 고객과의 신뢰도 향상 및 유지를 할 수 있다. 그리고 결함이 특정 공정 지점에서 발생하는지 탐색할 수 있다.

The Basic Study on the Method of Acoustic Emission Signal Processing for the Failure Detection in the NPP Structures (원전 구조물 결함 탐지를 위한 음향방출 신호 처리 방안에 대한 기초 연구)

  • Kim, Jong-Hyun;Korea Aerospace University, Jae-Seong;Lee, Jung;Kwag, No-Gwon;Lee, Bo-Young
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.5
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    • pp.485-492
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    • 2009
  • The thermal fatigue crack(TFC) is one of the life-limiting mechanisms at the nuclear power plant operating conditions. In order to evaluate the structural integrity, various non-destructive test methods such as radiographic test, ultrasonic test and eddy current are used in the industrial field. However, these methods have restrictions that defect detection is possible after the crack growth. For this reason, acoustic emission testing(AET) is becoming one of powerful inspection methods, because AET has an advantage that possible to monitor the structure continuously. Generally, every mechanism that affects the integrity of the structure or equipment is a source of acoustic emission signal. Therefore the noise filtering is one of the major works to the almost AET researchers. In this study, acoustic emission signal was collected from the pipes which were in the successive thermal fatigue cycles. The data were filtered based on the results from previous experiments. Through the data analysis, the signal characteristics to distinguish the effective signal from the noises for the TFC were proven as the waveform difference. The experiment results provide preliminary information for the acoustic emission technique to the continuous monitoring of the structure failure detection.

The quality improvement study on the crack of heat exchanger lubricating oil port in military aircraft (군용항공기 열교환기 윤활유 유입포트 균열개선 연구)

  • Park, Sung-Jae;Choi, Jae-Ho;Choi, Gil-Gyu;Lee, Dong-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.4
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    • pp.164-172
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    • 2020
  • The fuel oil/heat exchanger installed in military aircraft is a device that cools the lubricant oil supplied to other devices, such as an AMAD, and a hydraulic pump using the low temperature of the fuel is cracked at the AMAD lubricant inlet port. If a crack in the heat exchanger occurs, the lubricant oil supplied to other equipment is not cooled. Therefore, the flight can no longer be performed. In this study, non-destructive inspection and microscopic examination of the fracture surface of the oil port were performed to analyze the crack tendency. The oil pipe connected to the oil port is a titanium pipe, which is fastened with over torque and has been identified as the leading cause of heat exchanger oil port cracks. In addition, it was verified as the main reason for cracking by finite element analysis. The material and diameter of the pipe were changed to improve this defect, and the applied torque was adjusted. In addition, the bending value of the pipe was adjusted to minimize the fatigue accumulation due to pulsating pressure. As a result, no cracks occurred on the heat exchanger via the ground test after the installation of an improved pipe under the same conditions.

Optimum Design of Rubber Injection Molding Process (고무사출성형의 적정설계)

  • Lee, Eun-Ju;Lim, Kwang-Hee;Giang, Vu Tai
    • Korean Chemical Engineering Research
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    • v.49 no.1
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    • pp.47-55
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    • 2011
  • The optimum mold design and the optimum process condition were constructed upon executing process simulation of rubber injection molding with the commercial CAE program of MOLDFLOW (Ver. 5.2) in order to solve the process-problems of K company relating to cracks, which occurs at the inner cavity wall of C. V. joint boots. As a result it was confirmed that the real cracks occurs at the exactly same position of the cavity as exhibits the defects of weld and meld line and unsatisfactory curing according to the result of simulation. In order to prevent the occurrence of weld and meld line at the defect-position, the location of gate was altered to the optimum position of the cavity. Consequently the filling pattern was established to minimize the degree of the melt-fronts confronting or the melt-flows melding to prevent the occurrence of weld and meld line at the defect-position. It was observed that both gate-positions to maximize the degree of the formation of weld and meld line and air traps are located, respectively, in opposite direction each other with reference to the optimum gate position. In addition, the temperature of mold was raised by $10^{\circ}C$ and maintained at $170^{\circ}C$ for satisfactory curing.

Detection Method for Road Pavement Defect of UAV Imagery Based on Computer Vision (컴퓨터 비전 기반 UAV 영상의 도로표면 결함탐지 방안)

  • Joo, Yong Jin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.6
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    • pp.599-608
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    • 2017
  • Cracks on the asphalt road surface can affect the speed of the car, the consumption of fuel, the ride quality of the road, and the durability of the road surface. Such cracks in roads can lead to very dangerous consequences for long periods of time. To prevent such risks, it is necessary to identify cracks and take appropriate action. It takes too much time and money to do it. Also, it is difficult to use expensive laser equipment vehicles for initial cost and equipment operation. In this paper, we propose an effective detection method of road surface defect using ROI (Region of Interest) setting and cany edge detection method using UAV image. The results of this study can be presented as efficient method for road surface flaw detection and maintenance using UAV. In addition, it can be used to detect cracks such as various buildings and civil engineering structures such as buildings, outer walls, large-scale storage tanks other than roads, and cost reduction effect can be expected.

Nondestructive Defect Detection in Two-dimensional Anisotropic Composite Elastic Bodies Using the Boundary Element Method (경계 요소법을 이용한 2차원 비등방성 복합재료 탄성체의 비파괴 결함 추정)

  • 이상열
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.17 no.1
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    • pp.39-47
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    • 2004
  • In this paper, the defects of two-dimensional anisotropic elastic bodies are identified by using the boundary element method. The use of numerical models that contain only boundary integral terns reduces the dimensionality of the problem by one. This advantage is particularly important in problems such as crack mechanics. Avoiding domain meshing is also particularly advantageous in the solution of inverse problems since it overcomes mesh perturbations and simplifies the procedure. In this paper, nondestructive approaches for the existing isotropic materials are extended to analyze the elastic bodies made of anisotropic materials such as composites. After verifying that the proposing boundary element model is in good agreement with numerical results reported by other investigators, the effect of noise in the measurements on the identifiability is studied with respect to different design parameters of layered composites. Sample studies are carried out for various layup configurations and loading conditions. The effects of the layup sequences in detecting flaw of composites is explored in this paper.

Characterization of Acoustic Emission Signal for Welding Flaw and Stress Corrosion of SPPH Steels (SPPH강의 용접결함과 응력부식에 따른 음향 방출 신호의 특성)

  • Kim, Sung-Dai;Jung, Woo-Gwang;Lee, Jong-O;Jung, Yu-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.27 no.2
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    • pp.97-104
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    • 2007
  • An investigation has been made on the relationship between characteristics of Acoustic Emission (AE) signal in welding flaw and the stress corrosion defect in-service for the high pressure pipe steel. In order to tackle the problem of welding flaw in high pressure pipe, specimens were made by the aid of the application of both corrosion liquid usage and a quenching method after local heating. The amplitude of signal was $60{\sim}75\;dB$ in the territory which is suspected for defect, and the specimens which only have welding flaw showed gradients of 0.034, 0.034, 0.035. Moreover, there is a certain increase in gradient even though the differences are very slight. That is, corrosion specimens showed new gradients of 0.040, 0.039, 0.041 which put welding flaw and corrosion mechanism together. After pressurizing 3 minutes, AE signal has been detected from welding flaw easily in each part of the section. It is possible to predict the occurrence and also prevent the damage of stress corrosion crack which has characteristics of cleavage fracture.

Application and Design of Eddy Current based on FEM for NDE Inspection of Surface Cracks with Micro Class in Vehicular Parts (자동차부품의 마이크로급 표면크랙 탐상을 위한 FEM 를 기반한 와전류 센서 디자인 및 적용)

  • Im, Kwang-Hee;Lee, Seul-Ki;Kim, Hak-Joon;Song, Sing-Jin;Woo, Yong-Deuk;Na, Sung-Woo;Hwang, Woo-Chae;Lee, Hyung-Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.32 no.6
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    • pp.529-536
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    • 2015
  • A defect could be generated in bolts for a use of oil filters for the manufacturing process and then may affect to the safety and quality in bolts. Also, fine defects may be imbedded in oil filter system. So it is very important that such defects be investigated and screened during the multiple manufacturing processes. Therefore, in order effectively to evaluate the fine defects, the FEM simulations were performed to make characterization in the crack detection of the bolts and the parameters such as number of turns of the coil, the coil size, applied frequency were calculated based on the simulation results. Simulations were carried out for the defect signal of eddy current probe. Exciter and receiver were utilized. In this paper, the FEM simulations were performed in both bobbin-type and pancake-type probe, both probes were optimized under Eddy current FEM simulations and the results of calculation were discussed.