• Title/Summary/Keyword: defect engineering

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STS Defect Structure Diagonis through the Infrared Thermography Mechanism and Flex-PDE Thermal Analysis (적외선 열화상 메카니즘과 Flex-PDE 열해석을 통한 STS 결함구조물 진단)

  • Park, Young Hoon;Yang, Sung Mo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.4
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    • pp.20-29
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    • 2014
  • This research aims to study the new paradigm of NDE measurement which allows the identification of defect locations and sizes of a certain structure by measuring its surface temperature after applying heat. STS which has a certain defect is applied by the heat of 70000W by a heater. Its difference of STS surface temperature is measured by using Infrared thermography. The estimated result of STS experiment and that of theoretical analysis of Flex-PDE are compared and analyzed to diagnose STS defect. Moreover, this study can save time and money and improve accuracy in contrast to the existing ultrasonic NDE experiment. In addition, the new paradigm of NDT/NDE by reverse-engineering will be valid if the data of thermal analysis and temperature distribution from the specifications of many materials is accumulated and verified.

Design of a binary decision tree using genetic algorithm for recognition of the defect patterns of cold mill strip (유전 알고리듬을 이용한 이진 트리 분류기의 설계와 냉연 흠 분류에의 적용)

  • Kim, Kyoung-Min;Lee, Byung-Jin;Lyou, Kyoung;Park, Gwi-Tae
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.1
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    • pp.98-103
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    • 2000
  • This paper suggests a method to recognize the various defect patterns of a cold mill strip using a binary decision tree automatically constructed by a genetic algorithm(GA). In classifying complex patterns with high similarity like the defect patterns of a cold mill stirp, the selection of an optimal feature set and an appropriate recognizer is important to achieve high recognition rate. In this paper a GA is used to select a subset of the suitable features at each node in the binary decision tree. The feature subset with maximum fitness is chosen and the patterns are classified into two classes using a linear decision function. This process is repeated at each node until all the patterns are classified into individual classes. In this way, the classifier using the binary decision tree is constructed automatically. After constructing the binary decision tree, the final recognizer is accomplished by having neural network learning sits of standard patterns at each node. In this paper, the classifier using the binary decision tree is applied to the recognition of defect patterns of a cold mill strip, and the experimental results are given to demonstrate the usefulness of the proposed scheme.

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Non-destructive Analysis of Nano-sized Crack Morphology of Electro-deposit by Using Small Angle Neutron Scattering (소각중성자 산란법을 이용한 도금층의 극미세 균열 형상의 비파괴적 분석)

  • Choi, Yong;Shin, Eun Joo;Hahn, Young Soo;Seung, Baik Seok
    • Journal of Surface Science and Engineering
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    • v.49 no.2
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    • pp.111-118
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    • 2016
  • A method to quantitatively analyze the defects formed by the hydrogen evolution during electroplating was suggested based on the theoretical approach of the small angle neutron scattering technique. In case of trivalent chrome layers, an isolated defect size due to the hydrogen evolution was about 40 nm. Direct and pulse plating conditions gave the average defect size of about 4.9 and $4.5{\mu}m$ with rod or calabash shape, respectively. Current density change of the pulse plating from $1.5A/dm^2$ to $2.0A/dm^2$ enlarged the average defect size from 3.3 to $7.8{\mu}m$. The defect morphology like rod or calabash was originated by inter-connecting the isolated defects. Small angle neutron scattering was useful to quantitatively evaluate defect morphology of the deposit.

Assessment of Defect Risks in Apartment Projects based on the Defect Classification Framework (공동주택 하자분류체계 기반 하자위험 평가)

  • Jang, Ho-Myun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.61-68
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    • 2018
  • In general, defects cause a lot of maintenance costs and serious damage to various stakeholders, such as the owners, contractors or occupants of apartments. For this reason, a systematic and efficient defect management method is needed to minimize defect disputes. This paper derives a defect classification framework and proposes a defect risk assessment model for different types of defects. For this purpose, 6,000 defect items are allocated to the defect classification framework; these items are associated with 34 apartment projects over ten years old. As a result of this analysis, it was confirmed that the defect risks are concentrated in the areas of RC and finishing work. Based on these results, it is necessary to prevent the major risks of defects according to their priority. Based on this research, it is judged that further research to develop a method of managing the risks of defects may be necessary.

Automatic Defect Inspection with Adaptive Binarization and Bresenham's Algorithm for Spectacle Lens Products (적응적 이진화 기법과 Bresenham's algorithm을 이용한 안경 렌즈 제품의 자동 흠집 검출)

  • Kim, Kwang Baek;Song, Dong Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.7
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    • pp.1429-1434
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    • 2017
  • In automatic defect detection problem for spectacle lenses, it is important to extract lens area accurately. Many existing detection methods fail to do it due to insufficient minute noise removal. In this paper, we propose an automatic defect detection method using Bresenham algorithm and adaptive binarization strategy. After usual average binarization, we apply Bresenham algorithm that has the power in extracting ellipse shape from image. Then, adaptive binarization strategy is applied to the critical minute noise removal inside the lens area. After noise removal, We can also compute the influence factor of the defect based on the fuzzy logic with two membership functions such as the size of the defect and the distance of the defect from the center of the lens. In experiment, our method successfully extracts defects in 10 out of 12 example images that include CHEMI, MID, HL, HM type lenses.

Numerical Analysis of Effects of Mold Cavity Shape on Bubble Defect Formation in UV NIL (UV NIL공정에서 몰드 중공부 형상과 기포결함에 대한 수치해석)

  • Lee, Hosung;Kim, Bo Seon;Kim, Kug Weon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.596-602
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    • 2018
  • Nanoimprint lithography (NIL) is an emerging technology that enables cost-effective and high-throughput nanofabrication. In ultraviolet (UV) NIL, low-cost and high-speed production can be achieved using a non-vacuum environment at room temperature and low pressure. However, there are problems with the formation of bubble defects in such an environment. This paper investigates the shape of the mold cavity and the bubble defect formation in UV NIL in a non-vacuum environment. The bubble defect formation was simulated using two-dimensional flow analysis and the VOF method for commonly used cavity mold shapes (rectangular, elliptical, and triangular). The characteristics of the resist flow front and various contact angles were also analyzed. The shape of the mold cavity had a very significant effect on the bubble defect formation. For all cavity shapes, a smaller contact angle with the mold and larger contact angle with the substrate decreased the possibility of bubble defect formation. The elliptical shape was the most effective for preventing bubble defect formation.

Three-Dimensional Stacked Memory System for Defect Tolerance (적층 구조의 3차원 결함극복 메모리)

  • Han, Se-hwan;You, Young-Gap;Cho, Tae-Won
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.47 no.11
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    • pp.23-29
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    • 2010
  • This paper presents a method for constructing a memory system using defective memory chips comprising faulty storage blocks. The three-dimensional memory system introduced here employs a die-stacked structure of faulty memory chips. Signals lines passing through the through-silicon-vias (TSVs) connect chips in the defect tolerant structure. Defective chips are classified into several groups each group comprising defective chips having faulty blocks at the same location. A defect tolerant memory system is constructed using chips from different groups. Defect-free storage blocks from spare chips replace faulty blocks using additional routing circuitry. The number of spare chips for defect tolerance is $s={\ulcorner}(k{\times}n)/(m-k){\urcorner}$ to make a system defect tolerant for (n+s) chips with k faulty blocks among m independently addressable blocks.

A Method and Effect for Tibial Defect Treatment Using Interstitial Low Level Laser (경골 손상 치료에서의 침습형 저출력 레이저 치료법 및 효과)

  • Lee, Sangyeob;Hwang, Donghyun;Kim, Hansung;Jung, Byungjo
    • Journal of Biomedical Engineering Research
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    • v.37 no.4
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    • pp.147-151
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    • 2016
  • Tibial defect, or fracture is very routine musculoskeletal case which brings fully uncomfortable and painful situations to patient. Moreover, it has long hospitalization period because of its risk of non-union. There are many studies using ultrasound, vibration, and laser for bone regeneration to figure out fast bone healing. Among them, Low Level Laser Therapy (LLLT) is already known that it is very easy to treat and may have positive effect for bone regeneration. However, LLLT has uncertain energy dose because of scattering and absorption of laser in tissue. In this study, we used interstitial LLLT to treat tibial defect in animal study. The Interstitial LLLT can overcome some limitations caused by laser scattering or absorption in tissue medium. The results were evaluated using u-CT which can calculate X-ray attenuation coefficient and bone volume of bone defect area. These results showed that interstitial LLLT may affect fast bone healing process in early phase.

Direction of CM Services Defect Liability in the CM Contract

  • Cho, Young-Jun
    • Journal of the Korea Institute of Building Construction
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    • v.13 no.3
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    • pp.209-217
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    • 2013
  • The execution of a construction project involves the engagement of many participants. Generally, the Authority uses CM to certify that the Work is built according to the contract documents. The CM work scope is expressed in the Construction Technology Management Act and its Regulation. The mandated and delegated CM services are limited to the construction period. If Contractor is required to repair a construction defect, the Contractor should bear the burden of the inspection service for the defect repair, because it is associated with him. Nevertheless, CM should submit a bond to provide the inspection and supervision service for the defect repair. These may result in conflict with each liability. Therefore, CM service in the law and regulation was investigated and analyzed in this study to classify the characteristics of CM contracts, and it was suggested that the CM liability for the inspection and supervision service for the defect repair should be reconsidered.

A Micro-defect Detection of Cold Rolled Steel (냉연 강판의 미세 결함 검출 기술)

  • Yun, Jong Pil
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.4
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    • pp.247-252
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    • 2016
  • In this paper, we propose a new defect detection technology for micro-defect on the surface of steel products. Due to depth and size of microscopic defect, slop of surface and vibration of strip, the conventional optical method cannot guarantee the detection performance. To solve the above-mentioned problems and increase signal to noise ratio, a novel retro-schlieren method that consists of retro reflector and knife edge is proposed. Moreover dual switching lighting method is also applied to distinguish uneven micro defects and surface noise. In proposed method, defective regions are represented by a black and white pattern. This pattern is detected by a defect detection algorithm with Gabor filter. Experimental results by simulator for sample defects of cold rolled steel show that the proposed method is effective.