• 제목/요약/키워드: manufacturing defect

검색결과 406건 처리시간 0.032초

유한요소법을 이용한 disk-brake piston의 공정설계 (Application of FEM to the Forming Process of Disk-Brake Piston)

  • 황병복;이호용
    • 소성∙가공
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    • 제3권2호
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    • pp.178-188
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    • 1994
  • A design methodology is applied for manufacturing a disk-brake piston component. The design criteria are the limit drawing ratio and the forging load within the available press limit. Also, the final product should not have any geometrical defect. The rigid-plastic FEM has been applied to simulate the conventional four stage manufacturing processes, which include deep drawing and forging process. Simulation of one stage process from a selected stock to the final product shape is performed for generating information on additional requirements for metal flow. Two stage forming processes with different punch corner and nose geometries are also simulated to identify the possible best solutions. Finally, the best manufacturing process is selected, which is using a hemispherical punch int he deep drawing process.

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스마트공장을 위한 IT 융합 표준화 동향 분석과 시스템 구조 (The System Architecture and Standardzation of Production IT Convergence for Smart Factory)

  • 차석근;윤재영;홍정기;강현구;조현찬
    • 한국정밀공학회지
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    • 제32권1호
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    • pp.17-24
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    • 2015
  • Smart factory requires 4 Zero factors including Zero Waiting-time, Zero Inventory, Zero Defect, Zero Down-time) that needs IT convergence for production resources of 4M1E(Man, Machine, Material, Method, Energy) in real time and event processing in all type of manufacturing enterprises. This paper will be explaining about core emerging production IT convergence technologies including cyber device security, 4M1E integration, real time event driven architecture, common platform of manufacturing standard applications, smart factory to-be model for small and medium manufacturing enterprises.

주파수 응답해석을 통한 제작공차를 가지는 저압터빈 케이싱의 고진동 원인 규명 (Investigation of the Cause of High Vibration in a Low Pressure Turbine Casing with Manufacturing Defects by Frequency Response Analysis)

  • 윤희철;우창기;황재곤
    • 한국생산제조학회지
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    • 제24권4호
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    • pp.463-468
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    • 2015
  • High vibration of a low pressure (LP) turbine casing caused safety problems and life at the facility it was housed in. The main focus of this study was the cause of the high vibration in a low pressure turbine casing with manufacturing defects by frequency response analysis, compared with the results of experiments. Therefore, excited accelerations were obtained from the LP casing fundamental, and frequency responses were analyzed. The measurement and the modal analysis showed that the natural frequency of the LP turbine casing was 61.26 Hz and the excited frequency of the turbine rotor was 60.25 Hz. The manufacturing defect caused a decrease in the casing natural frequency and resulted in the high vibration of the casing because it moved close to the resonant frequency.

정적 시험을 사용한 CFTA거더의 제조시 강성 결함 탐색 (Detection of Manufacturing Defects in Stiffness of CFTA Girder using Static Loading)

  • 김두기;나뎀 파레즈;취진타오;박경훈
    • 한국전산구조공학회논문집
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    • 제25권1호
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    • pp.109-116
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    • 2012
  • 새로운 형태의 교량 거더인 CFTA(Concrete filled and tied tubular steel arch) 거더의 비선형 거동에 대해 고찰한 후, CFTA 거더의 대량 공장 생산시 콘크리트 충진 불량으로 발생할 수 있는 결함인 거더 안의 빈 공간을 탐지하는 새로운 방법을 제안하였다. CFTA 거더 안의 비대칭성 콘크리트 충진 불량 결함을 구조물의 대칭 거동을 이용하여 탐색하였으며, 수치해석과 실험을 통해 제안된 방법을 검증하였다. 제안된 방법을 수치적으로 검증하기 위해 3차원 유한요소모델을 사용하였으며, 실험적으로 검증하기 위해 CFTA거더의 정적 실험자료를 사용하였다.

딥러닝을 이용한 육불화텅스텐(WF6) 제조 공정의 지능형 영상 감지 시스템 구현 (Implementation of an Intelligent Video Detection System using Deep Learning in the Manufacturing Process of Tungsten Hexafluoride)

  • 손승용;김영목;최두현
    • 한국재료학회지
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    • 제31권12호
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    • pp.719-726
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    • 2021
  • Through the process of chemical vapor deposition, Tungsten Hexafluoride (WF6) is widely used by the semiconductor industry to form tungsten films. Tungsten Hexafluoride (WF6) is produced through manufacturing processes such as pulverization, wet smelting, calcination and reduction of tungsten ores. The manufacturing process of Tungsten Hexafluoride (WF6) is required thorough quality control to improve productivity. In this paper, a real-time detection system for oxidation defects that occur in the manufacturing process of Tungsten Hexafluoride (WF6) is proposed. The proposed system is implemented by applying YOLOv5 based on Convolutional Neural Network (CNN); it is expected to enable more stable management than existing management, which relies on skilled workers. The implementation method of the proposed system and the results of performance comparison are presented to prove the feasibility of the method for improving the efficiency of the WF6 manufacturing process in this paper. The proposed system applying YOLOv5s, which is the most suitable material in the actual production environment, demonstrates high accuracy (mAP@0.5 99.4 %) and real-time detection speed (FPS 46).

공간필터법을 이용한 온라인 표면결함 계측 (On-line Surface Defect Detection using Spatial Filtering Method)

  • 문성배;전승환
    • 한국항해항만학회지
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    • 제28권1호
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    • pp.43-49
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    • 2004
  • 결함검사는 생산공정에 있어서 상품의 디자인과 함께 매우 중요한 부분으로서, 상품의 경쟁력을 높이는데 필수 불가결한 것이다. 만약, 실시간 결함검출이 상품에 대한 어떤 손상도 없이 할 수 있다면, 품질 및 공정의 효율적 관리와 고비용 인력의 절감을 통하여 생산원가를 줄일 수 있다. 본 논문에서는 철판과 같은 표면에 결함이 있는 경우 필요한 정보만을 추출할 수 있는 3가지 공간필터법에 대하여 제안하였고, 공간필터의 특성을 통하여 결함검출 시스템을 구성하였다. 그리고, 최적의 표면결함 계측용 공간필터법을 개발하기 위하여 결함의 크기와 형태, 광도의 크기 및 외부 광간섭 그리고 슬리트의 개수와 같은 파라메타의 변화에 따른 측정 성능을 비교 및 분석하였다.

몰드 변압기의 절연 진단을 위한 로고우스키형 부분방전 센서의 설계 및 제작 (Design and Fabrication of Rogowski-type Partial Discharge Sensor for Insulation Diagnosis of Cast-Resin Transformers)

  • 이경렬;김성욱;길경석
    • 한국전기전자재료학회논문지
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    • 제35권6호
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    • pp.594-602
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    • 2022
  • Cast-resin transformers are widely installed in various electrical power systems because of their low operating cost and low influence on external environmental factors. However, when they have an internal defect during the manufacturing process or operation, a partial discharge (PD) occurs, and eventually destroys the insulation. In this paper, a Rogowski-type PD sensor was studied to replace commercial PD sensors used for the insulation diagnosis of power apparatus. The proposed PD sensor was manufactured with four different types of PCB-based winding structures, and it was analyzed in terms of the detection characteristics for standard calibration pulses and the changes of the output voltage according to the distance. The output increased linearly in accordance with the applied discharge amount. It was confirmed that the hexagon structure sensor had the highest sensitivity, because the winding cross-sectional area of the sensor was larger than others. In addition, as the distance from the defect increased, the output voltage of the sensors decreased by 7.32% on average. It was also confirmed that the attenuation rate according to the distance decreased as the input discharge amount increased. For the application of this new type sensor, PD electrode system was designed to simulate the void defect. Waveforms and PRPD patterns measured by the proposed PD sensors at DIV and 120% of DIV were the same as the results measured by MPD 600 based on IEC 60270. The proposed PD sensors can be installed on the inner wall of the transformer tank by coating its surfaces with a non-conductive material; therefore, it is possible to detect internal defects more effectively at a closer distance from the defect than the conventional sensors.

PCB 검사기를 위한 웨이블릿 변환 기반의 결함 검출 방법 (Wavelet Transform Based Defect Detection for PCB Inspection Machines)

  • 연승근;김영규;박태형
    • 전기학회논문지
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    • 제66권10호
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    • pp.1508-1515
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    • 2017
  • This paper proposes the defect detection method for automatic inspection machines in printed circuit boards (PCBs) manufacturing system. The defects of PCB such as open, short, pin hole and scratch can be detected by comparing the standard image and the target image. The standard image is obtained from CAD file such as ODB++ format, and the target image is obtained by arranging, filtering and binarization of captured PCB image. Since the PCB size is too large and image resolution is too high, the image processing requires a lot of memory and computational time. The wavelet transform is applied to compress the standard and target images, which results in reducing the memory and computational time. To increase the inspection accuracy, we utilize the he HH-domain as well as LL-domain of the transformed images. Experimental results are finally presented to show the performance improvement of the proposed method.

연속파형 Nd:YAG 레이저를 이용한 금형강의 보수용접 특성에 관한 연구 (A Study on the Characteristics of Repair Welding for Mold Steel using Continuous Wave Nd:YAG Laser)

  • 유영태;신호준
    • 한국정밀공학회지
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    • 제27권11호
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    • pp.7-16
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    • 2010
  • In this study, wire was used as the filler material for the laser repair welding, and the phenomenon in which the supplied filler material was melted and beaded down into the specimen was examined with varying laser powers and welding speeds. The optimal processing condition was found to be the laser power of 1,300 W, the welding speed and feed wire supply speed of 0.5 ml/in and the defocused distances of +2mm. At this time, the heat input(E) was $65{\sim}75\;J/mm^2$, and no internal defect occurred. When repair welding was carried out as the optimal processing for the part that had an external defect with the radius of 2mm, the filler metal was melted, resulting in the volume smaller than the defect part and thus causing the part unfilled. Therefore, it was found to be necessary to carry out repair welding two to three times by multiple passes rather than does it only once by single pass.

PDP ITO 결함 검출기술에 관한 연구 (A Study on Inspection Technology of PDP ITO Defect)

  • 송준엽;박화영;정연욱;김현종
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.191-195
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    • 2003
  • The formation degree of sustain (ITO pattern) decides quality of PDP (plasma display panel). For this reason. it makes efforts in search defects more than 30 ${\mu}{\textrm}{m}$. Now, the existing inspection process is dependent upon naked eye or SEM equipment in off-line PDP manufacturing process. In this study developed prototype inspection system of PDP ITO glass. This system creates information that detects and sorts kind of defect automatically. Design ed inspection technology adopts line-scan method by slip-beam formation for the minimum of inspection time and image processing algorithm is embodied in detection ability of developed system. Designed algorithm had to make good use of kernel matrix which draws up an approach to geometry. A characteristic of area-shaped defects, as pin hole, substance, protrusion et al, are extracted from blob analysis method. Defects, as open, short, spots, et al, are distinguished by line type inspection algorithm. In experiment results, we could have ensured ability of inspection that can be detected with reliability of up to 95% in about 60 seconds

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