• Title/Summary/Keyword: 크리징

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PR 페이지 - (주)스크린HD코리아, 디지털 후가공 분야 적극 공략

  • 대한인쇄문화협회
    • 프린팅코리아
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    • v.14 no.8
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    • pp.90-90
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    • 2015
  • (주)스크린HD코리아(대표이사 전익성)가 지난 4월 중국에서 개최된 '프린트차이나 2015'에서 주목 받았던 디지털 레이저 크리징&커팅 장비인 'Highcon Euclid II 시리즈'를 본격 출시하며, 디지털 후가공 분야에 대한 공격적인 행보를 이어가고 있다.

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The Estimation of Design Tide Level over the West Coast of Korea Based on the Kriging Model (크리징 모형을 이용한 서해 설계 기준 조위면의 추정에 관한 연구)

  • Lee, Jae-Hyeong
    • Journal of Korea Water Resources Association
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    • v.30 no.6
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    • pp.611-620
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    • 1997
  • The history of Tidal Bench Mark(TBM) at four major tide observation stations on the the Korea West Coast is reviewed. The data concerned with the local mean sea level(LMSL), the datum level(DL), and TBM is collected and checked. The values of LMSL surveyed by Rural Development Corporation(RDC), Office of Hydrographic Affair(OHA), and Office of Port Affair(OPA) are compared so that their unbiased MSLs at four stations are determined. Kriging model is introduced to estimate the design levels for tide; DL, MSL, and high water spring tide(HWOST). The estimated design level is well fitted with the sample data. The value of the identified drifts increase with the latitude. The estimated semi-variograms ${\gamma}(h)$ show self similarity. The values of the ${\gamma}(h)$ for DL and HWOST are 0.005 times as much as the values of ${\gamma}(h)$ of MSL.

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Application of KED Method for Estimation of Spatial Distribution of Probability Rainfall (확률강우량의 공간분포 추정을 위한 KED 기법의 적용)

  • Seo, Young-Min;Yeo, Woon-Ki;Lee, Seung-Yoon;Jee, Hong-Kee
    • Journal of Korea Water Resources Association
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    • v.43 no.8
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    • pp.757-767
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    • 2010
  • This study employs the KED method using the correlations between probability rainfall and topographical factors as single auxiliary variable for assessing the effectiveness of external variables to improve the reliability in the estimation of spatial distribution of probability rainfall. As a result, the KED method gives similar results compared with deterministic spatial interpolation methods and kriging methods in the estimation of rainfall spatial distribution and mean areal rainfall, and as a result of the cross-validations of KED and kriging methods, the KED method using terrain elevation as auxiliary variable gives the best results, which are not significantly different in comparisons with other methods.

A STUDY ON THE INTERPOLATION METHODS FOR THE FLUID-STRUCTURE INTERACTION ANALYSIS (유체-구조 연계 해석을 위한 보간 기법 연구)

  • Lee, J.;Kwon, J.H.
    • Journal of computational fluids engineering
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    • v.13 no.1
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    • pp.41-48
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    • 2008
  • The fluid-structure interaction analysis such as a static aeroelastic analysis requires the result of each analysis as an input to the other analysis. Usually the grids for the fluid analysis and the structural analysis are different, so the results should be transformed properly for each other. The Infinite Plate Spline(IPS) and the Thin Plate Spline(TPS) are used in interpolating the displacement and the pressure. In this study, such interpolation methods are compared with kriging which provides a precise response surface. The static aeroelastic analysis is performed for the supersonic flow field with shock waves and the pressure field is interpolated by the TPS and kriging. The TPS shows tendency to weaken the shock strength, whereas kriging preserves the shock strength.

Optimum Design of Composite Structures using Metamodels (메타모델을 이용한 복합재료 구조물의 최적 설계)

  • 이재훈;강지호;홍창선;김천곤
    • Composites Research
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    • v.16 no.4
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    • pp.36-43
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    • 2003
  • In this research, the optimization of composite structures was performed using metamodels. The optimization of composite structures requires a lot of time when optimizing the result of the time-consuming analysis. Thus, metamodels are used to replace the time-consuming analysis with simple models. RSM, kriging and neural networks are widely used metamodels. RSM and kriging were used in this study. The ultimate failure load analysis of the composite structure was approximated by metamodels. The optimizations of the composite plate were performed to maximize ultimate failure load using genetic algorithm and metamodels.

COMPARATIVE STUDY ON THE INTERPOLATION METHODS FOR THE AEROELASTIC ANALYSIS (공탄성 해석을 위한 보간 기법 비교 연구)

  • Lee, Jae-Hun;Kwon, Jang-Hyuk
    • 한국전산유체공학회:학술대회논문집
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    • 2005.10a
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    • pp.141-144
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    • 2005
  • The fluid-structure interaction analysis such as a static aeroelastic analysis requires the result of each analysis as an input to other analysis. Usually the grids for the fluid analysis and the structural analysis are different, so the results should be transformed properly for each other. The Infinite Plate Spline(IPS) and the Thin Plate Spline(TPS) are used in interpolating the displacement and the pressure. In this study, such interpolation methods are compared with kriging which provides a precise response surface. The static aeroelastic analysis is performed for the supersonic flow field with shock waves and the pressure field is interpolated by the TPS and kriging. The TPS shows tendency to weaken the shock stength, whereas kriging preserves the shock strength.

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Mapping of Temperature and Rainfall Using DEM and Multivariate Kriging (수치표고모델과 다변량 크리깅을 이용한 기온 및 강수 분포도 작성)

  • Park, No-Wook;Jang, Dong-Ho
    • Journal of the Korean Geographical Society
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    • v.43 no.6
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    • pp.1002-1015
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    • 2008
  • We investigate the potential of digital elevation model and multivariate geostatistical kriging in mapping of temperature and rainfall based on sparse weather station observations. By using elevation data which have reasonable correlation with temperature and rainfall, and are exhaustively sampled in the study area, we try to generate spatial distributions of temperature and rainfall which well reflect topographic effects and have less smoothing effects. To illustrate the applicability of this approach, we carried out a case study of Jeju island using observation data acquired in January, April, August, and October, 2005. From the case study results, accounting for elevation via colocated cokriging could reflect detailed topographic characteristics in the study area with less smoothing effects. Colocated cokriging also showed much improved prediction capability, compared to that of traditional univariate ordinary kriging. According to the increase of the magnitude of correlation between temperature or rainfall and elevation, much improved prediction capability could be obtained. The decrease of relative nugget effects also resulted in the improvement of prediction capability.