• 제목/요약/키워드: Small circular defect

검색결과 14건 처리시간 0.023초

알루미늄 합금재의 피로크랙 전파거동에 미치는 미소원공결함 (The Influence of the Small Circular Hole Defect on the Fatigue Crack Propagation Behavior in Aluminum Alloys)

  • 김건호;이호연
    • Journal of Advanced Marine Engineering and Technology
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    • 제32권6호
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    • pp.834-840
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    • 2008
  • We carried out fatigue testing with materials of aluminum alloyC7075-T6, 2024-T4) by rotary bending fatigue tester. We investigated fatigue limit, fatigue crack initiation, fatigue crack propagation behavior and possibility of fatigue life prediction to the different small circular hole defect. The summarized result are as follows; Fatigue limit of the smooth specimens were related tensile strength and yield strength. In case of more large applied stress and small circular hole crack defect, the fatigue crack was grown rapidly. The fatigue crack propagation behavior proceed at according to inclusion. Fatigue crack propagation ratio appeared instability and retardation phenomenon in the first half of fatigue life but appeared stability and replied in the latter half. On other hand, this experimental data of the materials are appeared fatigue life predictability.

미소인공결함의 위치에 따른 마찰용접부의 피로특성 (Fatigue Properties of Friction Weld According to the Location of Small Artificial Defect)

  • 이상열;정재강
    • Journal of Welding and Joining
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    • 제19권6호
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    • pp.608-613
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    • 2001
  • In this study, the rotary bending fatigue test was carried out with two kinds of base metal, martensite stainless steel STR3 and austenite stainless steel STR35 and the dissimilar friction welded material with them. To compare the fatigue fifes according to the notch positions, the small circular defect was worked on the bonded line, 1.0mm and 0.5mm distance form the bonded line. The fatigue limits of the STR3 and STR35 base metal were 429.0MPa and 409.4MPa respectably. In comparison with fatigue life at the same notch positions, the STR35 specimens showed about 190% for base metal, 82% for 1.0mm distance notched specimens higher than that of the STR3. But the fatigue life of the 0.5mm distance notched STR35 specimen showed about 35% lower than that of the STR3 specimen. And the bonded line notched specimen was much lower fatigue life than the other specimens because of separation of the bonded line.

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Defect Diagnosis and Classification of Machine Parts Based on Deep Learning

  • Kim, Hyun-Tae;Lee, Sang-Hyeop;Wesonga, Sheilla;Park, Jang-Sik
    • 한국산업융합학회 논문집
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    • 제25권2_1호
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    • pp.177-184
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    • 2022
  • The automatic defect sorting function of machinery parts is being introduced to the automation of the manufacturing process. In the final stage of automation of the manufacturing process, it is necessary to apply computer vision rather than human visual judgment to determine whether there is a defect. In this paper, we introduce a deep learning method to improve the classification performance of typical mechanical parts, such as welding parts, galvanized round plugs, and electro galvanized nuts, based on the results of experiments. In the case of poor welding, the method to further increase the depth of layer of the basic deep learning model was effective, and in the case of a circular plug, the surrounding data outside the defective target area affected it, so it could be solved through an appropriate pre-processing technique. Finally, in the case of a nut plated with zinc, since it receives data from multiple cameras due to its three-dimensional structure, it is greatly affected by lighting and has a problem in that it also affects the background image. To solve this problem, methods such as two-dimensional connectivity were applied in the object segmentation preprocessing process. Although the experiments suggested that the proposed methods are effective, most of the provided good/defective images data sets are relatively small, which may cause a learning balance problem of the deep learning model, so we plan to secure more data in the future.

광 밴드 갭(Photonic Band Gap) 구조를 응용한 원형 마이크로스트립 패치 안테나 (A Circular Micro-Strip Patch Antenna Using a PBG)

  • 이봉걸;정천석;우종운;안상철
    • 한국전자파학회논문지
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    • 제16권11호
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    • pp.1067-1074
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    • 2005
  • 원형 마이크로스트립 안테나를 기본 구조로 하고 단점인 표면파의 영향을 개선하기 위해 접지면에 광 밴드 갭 구조를 취하여 대역폭을 늘리고 안테나의 후방 방사를 줄였다. 또한 광 밴드 갭의 형태를 각기 달리하여 그에 따른 안테나 특성의 변화를 관찰하였다. 끝으로 유전체 사이에 비유전율이 유전체보다 낮은 공기층을 삽입하여 전체적인 비유전율을 낮게 만들어 작은 크기로 높은 응답 주파수 특성을 보였다.

미세 홀 어레이 펀칭 가공 (Punching of Micro-Hole Array)

  • 손영기;오수익;임성한
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2005년도 금형가공,미세가공,플라스틱가공 공동 심포지엄
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    • pp.193-197
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    • 2005
  • This paper presents a method by which multiple holes of ultra small size can be punched simultaneously. Silicon wafers were used to fabricate punching die. Workpiece used in the present investigation were the rolled pure copper of $3{\mu}m$ in thickness and CP titanium of $1.5{\mu}m$ in thickness. The metal foils were punched with the dies and arrays of circular and rectangular holes were made. The diameter of holes ranges from $2-10{\mu}m$. The process set-up is similar to that of the flexible rubber pad forming or Guerin process. Arrays of holes were punched successfully in one step forming. The punched holes were examined in terms of their dimensions, surface qualities, and potential defect. The effects of the die hole dimension on ultra small size hole formation of the thin foil were discussed. The optimum process condition such as proper die shape and diameter-thickness ratio (d/t) were also discussed. The results in this paper show that the present method can be successfully applied to the fabrication of ultra small size hole array in a one step operation.

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Usefulness of V-Y Advancement Flap for Defects after Skin Tumor Excision

  • Kwon, Ki Hyun;Lee, Dong Gwan;Koo, Su Han;Jo, Myoung Soo;Shin, Heakyeong;Seul, Jung Hyun
    • Archives of Plastic Surgery
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    • 제39권6호
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    • pp.619-625
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    • 2012
  • Background After skin tumor excision on the face, extremities, or trunk, the choice of treatment for a skin defect is highly variable. Many surgeons prefer to use a local flap rather than a skin graft or free flap for small- or moderately-sized circular defects. We have used unilateral or bilateral V-Y advancement flaps, especially on the face. Here we evaluated the functional and aesthetic results of this technique. Methods All of the patients were pathologically diagnosed with squamous cell carcinoma (SCC), basal cell carcinoma (BCC), or malignant melanoma or premalignant lesion (Bowen's disease). Thirty-two patients underwent V-Y advancement flap repair (11 unilateral and 21 bilateral) from January 2007 to June 2011. We analyzed the patients' age and satisfaction, and location and size of defect. The patients were followed up for 6 months or more. Results There were 22 women and 10 men. The ages ranged from 47 to 93 years with a mean age of 66 years. The causes were SCC in 15 cases, BCC in 13 cases, malignant melanoma in 1 case, Bowen's disease in 2 cases, and another cause in 1 case. The tumor locations were the face in 28 patients, and the scalp, upper limb, and flank each in one patient. All of the flaps survived and the aesthetic results were good. Postoperative recovery was usually rapid, and no complication or tumor recurrence was observed. Conclusions The V-Y advancement flap is often used not only for facial circular defects but also for defects of the trunk and extremities. Its advantages are less scarring and superior aesthetic results as compared with other local flap methods, because of less scarification of adjacent tissue and because it is an easy surgical technique.

웨이블렛을 이용한 보의 결함진단 (Damage Detection in a Beam by the Wavelet Transform)

  • 김응훈;김윤영
    • 대한기계학회논문집A
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    • 제24권2호
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    • pp.518-525
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    • 2000
  • This paper presents a new wavelet-based structural diagnostic technique. A continuous Gabor wavelet transform is shown to a very effective method in detecting damage in a beam. The beam is excited by a broad-band excitation force. For satisfactory results, the selection of an optimal wavelet is very important though the wavelet transform outperforms existing techniques such as the Wigner-Ville distribution. A specific example is given in a solid circular cylinder with a small defect.

미소원공을 갖는 선박 추진축재의 피로크랙 전파 거동에 관한 연구 (A Study on the Behavior of Fatigue Crack Propagation in Marine Propeller Shaft Materials with Small Circular Defect)

  • 정재강;김건호
    • Journal of Advanced Marine Engineering and Technology
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    • 제19권2호
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    • pp.36-46
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    • 1995
  • In this paper, fatigue crack propagation behaviors were investigated experimentally for the materials, carbon steel forgings (SF45A, SF50A, SF60A) which are used in the marine propeller shaft. The results obtained are as follows: The number of cycles required to grow crack length 1.30mm from microcrack initiation was about 60% of the total fatigue life. Fatigue crack propagation rate was expressed by the equation d(2a)/dN_B 2a/$N_f$ and the result was agreed well with the experimented data. And the equation d(2a)/dN=$C{\sigma}_a^m(2a)^n$ was evaluated also. Obtained material property m and n are 3~5 and 1-1.5 respectably, and the result was reasonably agreed to the data obtained from experiments.

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Oil Pipeline Weld Defect Identification System Based on Convolutional Neural Network

  • Shang, Jiaze;An, Weipeng;Liu, Yu;Han, Bang;Guo, Yaodan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권3호
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    • pp.1086-1103
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    • 2020
  • The automatic identification and classification of image-based weld defects is a difficult task due to the complex texture of the X-ray images of the weld defect. Several depth learning methods for automatically identifying welds were proposed and tested. In this work, four different depth convolutional neural networks were evaluated and compared on the 1631 image set. The concavity, undercut, bar defects, circular defects, unfused defects and incomplete penetration in the weld image 6 different types of defects are classified. Another contribution of this paper is to train a CNN model "RayNet" for the dataset from scratch. In the experiment part, the parameters of convolution operation are compared and analyzed, in which the experimental part performs a comparative analysis of various parameters in the convolution operation, compares the size of the input image, gives the classification results for each defect, and finally shows the partial feature map during feature extraction with the classification accuracy reaching 96.5%, which is 6.6% higher than the classification accuracy of other existing fine-tuned models, and even improves the classification accuracy compared with the traditional image processing methods, and also proves that the model trained from scratch also has a good performance on small-scale data sets. Our proposed method can assist the evaluators in classifying pipeline welding defects.

차량 밸브용 내열강재 이종 마찰용접부의 피로특성 평가 (An Evaluation of Fatigue Properties on Dissimilar Friction Weld of Heat-Resisting Steels Used in Vehicle Valves)

  • 이동길;이상열;정재강
    • 한국자동차공학회논문집
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    • 제10권2호
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    • pp.186-192
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    • 2002
  • The fatigue crack propagation characteristics were investigated on dissimilar friction weld of two kind of heat-resisting steels (STR3 and STR35) commonly used in valve materials for vehicles. A small circular artificial defect was machined to induce fatigue crack at bonded line, heat affected zone and base metal of the weld on the surface of the specimens. From the results of the experiment, the fatigue limits of the materials STR3 and STR35 were obtained to be 429.0MPa and 409.4MPa respectably. The STR35 base metal and 1.0mm HAZ specimens showed 190% and 82% higher fatigue life than STR3 base metal. And the fatigue life of 1.0mm HAZ specimen was shown 99% on STR3 and 29% on STR35 higher than that of their base metal. But the fatigue life of weld interface specimen was shown 18% on STR3 and 72% on STR35 lower than that of their base metal because of the weld interface separation.