• Title/Summary/Keyword: 샤프엣지

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CAE based risk prediction for sharp edge improvement (샤프엣지 개선을 위한 해석적 리스크 검토법)

  • Nam, Byeung Gun;Park, Shin Hee;Kim, Hyun Sup
    • Journal of Auto-vehicle Safety Association
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    • v.6 no.2
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    • pp.36-42
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    • 2014
  • In order to prevent the sharp edge during the side impact, a cause analysis and CAE based risk prediction were carried out in this study. It was found that sharp edge occurs mainly because of stiffness difference between the major parts and structural stress concentration. It could be improved by directly reinforcing the crack initiation region or by weakening the joints connecting the parts. The fracture criterion based on major in-plain strain was suggested and the risk prediction process for sharp edge prevention was established.

Numerical Study of Turbine Blade Surface Gas Temperature with Various RPM and Blade Edge Shape (터빈 블레이드 회전수 변화와 터빈 블레이드 엣지 형상 변화에 따른 표면 가스온도 분포 해석)

  • Lee, In-Chul;Byun, Yong-Woo;Koo, Ja-Ye;Lee, Sang-Do;Kim, Kui-Soon;Moon, In-Sang;Lee, Soo-Young
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.05a
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    • pp.49-52
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    • 2008
  • The numerical analysis for gas temperature of turbine blade surface has been performed to investigate development of temperature with various blade edge shape. Two different types of the turbine which one is "Sharp" edge and the other is "Round" edge was modeled. Computations have been carried out several turbine rotational speeds in the range from 0 to 10,000 rpm for the each types of turbine edge shape. As a result, the more rotational speed of turbine increased, the more turbine blade's temperature decreased. It is also found that the surface temperature of turbine blades for sharp type edge were lower than the round type edge.

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Effect of Leading Edge Shape on the Blade Surface Temperature of a Partial Admission Supersonic Turbine (부분입사형 초음속 터빈의 블레이드 표면 온도에 블레이드 앞전 형상이 미치는 영향)

  • Lee, Sang-Do;Kim, Kui-Soon;Lee, In-Chul;Koo, Ja-Yae;Mun, In-Sang;Lee, Su-Young
    • Journal of the Korean Society of Propulsion Engineers
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    • v.12 no.4
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    • pp.48-55
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    • 2008
  • In this paper, numerical analysis of the surface gas temperature on turbine blades has been performed to investigate the temperature profiles characteristics of a partial admission supersonic turbine driven by high temperature and pressure gas of pyro-starter with two different types of turbine blade edge shape. In order to examine the surface gas temperature on turbine blades at initial starting, computations tlave been carried out at several turbine rotational speeds in the range of $0{\sim}10,000$ rpm for each type of turbine edge shape. "Sharp" edge and "Round" edge types were taken as the turbine edge shape factor. As turbine rotational speed increased, the average temperature of turbine blades was further decreased. It was also found that the surface temperature of turbine blades with a sharp edge was lower than round-type edge turbine blades.

Sharp Edge Tool Alignment for Micro Pattern Machining (마이크로 패터닝 가공을 위한 공구 정렬에 관한 연구)

  • Park, Soon-Sub;Won, Jong-Ho
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.8 no.3
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    • pp.1-6
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    • 2009
  • This paper presents a geometrical error compensation of tool alignment for sharp edge bite on B axis controlled machine. In precision micro patterning, bite alignment is crucial parameter for machined surface. To decrease bite alignment error, plus tilted bite from B axis center is touched to reference work piece(pin gauge) and checked the deviation from original position. Same process is repeated for maximum touch deviation value. From this touched position value, wheel alignment error in X axis and Z axis can be calculated on B axis center. Experimental results show that this compensation method is efficient to correct sharp edge bite alignment.

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An Method for Inferring Fine Dust Concentration Using CCTV (CCTV를 이용한 미세먼지 농도 유추 방법)

  • Hong, Sunwon;Lee, Jaesung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.10
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    • pp.1234-1239
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    • 2019
  • This paper proposes a method for measuring fine dust concentration through digital processing of images captured by only existing CCTVs without additional equipment. This image processing algorithm consists of noise reduction, edge sharpening, ROI setting, edge strength calculation, and correction through HSV conversion. This algorithm is implemented using the C ++ OpenCV library. The algorithm was applied to CCTV images captured over a month. The edge strength values calculated for the ROI region are found to be closely related to the fine dust concentration data. To infer the correlation between the two types fo data, a trend line in the form of a power equation is established using MATLAB. The number of data points deviating from the trend line accounts for around 12.5%. Therefore, the overall accuracy is about 87.5%.