• 제목/요약/키워드: Prediction of the Shape

검색결과 854건 처리시간 0.03초

중력효과 및 캐비테이터 받음각 고려 공동 형상 예측기법 연구 (The Study of Prediction Method of Cavity Shape Considering Both Gravity Effect and Angle of Attack of Cavitator)

  • 김민재;이종주;김선범
    • 한국군사과학기술학회지
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    • 제21권2호
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    • pp.180-187
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    • 2018
  • In this study, we develop a prediction method of cavity shape taking gravity effect and angle of attack of cavitator into consideration simultaneously. Logvinovich's theoretical formulas are superimposed to predict the change of cavity centerline due to both gravity effect and angle of attack of cavitator. It is found that as the angle of attack of cavitator increases, the gravity effect is weakened due to decrease in cavity volume, and even in case of the same angle of attack, cavity shape changes in different ways depending on whether the angle of attack of cavitator is positive or negative. We conclude that cavity shapes are largely affected by the angle of attack of cavitator, and the gravity effect and angle of attack of cavitator should be considered at the same time for the prediction of cavity shape.

역해석 알고리즘을 이용한 변위예측 기법에 관한 연구 (A Study on the Displacement Prediction Method using the Inverse Analysis Algorithm)

  • 박현정
    • 한국정보통신학회논문지
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    • 제18권4호
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    • pp.920-926
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    • 2014
  • 본 연구에서는 지하굴착공사에서 굴착단계별 변위형상도를 미리 예측하는 기법에 관하여 역해석 알고리즘을 이용하여 현장시공사례에 적용하고 그 타당성을 검증하고자 한다. 이를 위해 IT 분야의 정보 처리 지식이 필요하고 전공융합의 필요성이 대두되어 건설 분야에 알고리즘의 적용을 시도하고자 한다. 본 연구의 기법에서 예측변위형상도는 굴착시공 시 연속벽체에 작용하는 토압과 연관이 있으며 이는 앵커 제거 후 시공하는 연속벽체의 안정성에 영향을 미치기 때문에 굴착단계별 변위형상도를 미리 예측하는 것은 아주 중요한 문제이다. 본 연구에서는 이를 위해 3곳의 지하연속벽을 사용한 현장에 반복적 역해석 알고리즘 기법을 세 단계로 적용하여 최종굴착 시 계측변위와 비교하였다. 그 결과 계측치와의 변위형상도가 잘 일치하고 있어 본 연구의 해석기법에 대한 타당성이 있음을 알 수 있었다.

색상 및 형태 특성을 이용한 로고 영상의 기억용이성 측정 및 예측 (A New Method for Measurement and Prediction of Memorability from Logo Images using Characteristics of Color and Shape)

  • 오상일;강행봉
    • 한국멀티미디어학회논문지
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    • 제18권12호
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    • pp.1509-1518
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    • 2015
  • Because a logo is a medium that connects between consumers and corporations or brands, designing memorable logo images is vital. Although predicting logo's memorability for brand marketing is essential, there have been only few researches that deal with memorability of logo images. In this paper, we analyze the memorability characteristics in logo images by performing experiments based upon our proposed prediction method for logo image's memorability. Our proposed research consists of three phases: crowdsourcing for memorability computing, computational phase for logo image's memorability, and development of a prediction model. Using computed memorability of logo images by "Visual Memory Game," we analyze the different characteristics of logo's memorability. We first developed a novel computational method that reflects logo image's color and shape. Each computational method on color and shape are selected by comparing the correlations between result values and ground truth memorability. Selected computational value is then converged with generic image feature descriptors such as SIFT and HoG to make a prediction model of logo's memorability. Using our method, we obtain reasonable performances in predicting logo image's memorability.

$\mu$BGA 솔더 접합부의 최적 형상 예측에 관한 연구 (A Study on the Optimal Shape Prediction of $\mu$BGA Solder Joints)

  • 신영의;지시헌;후지모토고조;김종민
    • 마이크로전자및패키징학회지
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    • 제8권4호
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    • pp.35-41
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    • 2001
  • 본 연구에서 솔더 접합부의 최적 형상을 예측하는 몇 가지 방법에 대하여 연구하였다. 솔더 접합부 형상 예측법에는 Truncated Sphere법, 힘-평형 해석법(force-balanced analytical method), Ken Brakke에 의해 개발된 Surface Evolver등이 있다. 이상의 형상 예측법 붕 본 연구에서는 Truncated Sphere 법과 SurfaceEvolver를 사용하여 $\mu$BGA치 솔더 접합부의 형상을 예측하고, 결과를 비교하였다. 그 결과 Truncated Sphere법과 SurfaceEvolve가 제시하는 두 가지의 형상은 아주 작은 오차를 두고 거의 일치함을 확인하였다. 또한, 형상 예측법이 제시한 형상의 신뢰성을 검증하기 위하여, FEA 프로그램인 ANSYS(version5.62)를 이용하여 대상 형상에 열 사이클 시험을 실시하였다. 해석 결과, 형상 예측법이 제시한 형상이 임의 오차를 가한 다른 형상에 비하여 가장 좋은 신뢰성을 나타냄을 확인할 수 있었다.

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원형소재를 이용한 프로파일 다단 형상인발 공정설계 (Process Design for Multi-pass Profile Drawing using Round Materials)

  • 이인규;최창영;이상곤;정명식;이재욱;김다혜;조용재;김병민
    • 소성∙가공
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    • 제24권4호
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    • pp.234-240
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    • 2015
  • Multi-pass shape drawing is very important to produce steel profiles in round samples. In the current study, a process design system is developed for a multi-pass shape drawing. In general, the number of passes for a multi-pass shape drawing is 2 to 3 when the reduction ratio, drawing stress, and productivity are considered. Therefore, calculating the drawing stress and designing the intermediated die shapes are very important. In order to calculate the drawing stress, a shape drawing load prediction method is proposed using a general axisymmetric drawing load prediction model. An intermediate die shape design method is proposed using the initial and the final product shapes. Based on this analysis, a process design system is developed for multi-pass shape drawing for steel profiles. The system works with AutoCAD. The system was applied to design a shape drawing of a spline.

유한요소법을 이용한 드로우비드 저항력 예측모델 개발 및 성형공정에의 적용 (Simulation-based Prediction Model of Draw-bead Restraining Force and Its Application to Sheet Metal Forming Process)

  • 배기현;송정한;허훈;김세호;박성호
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2006년도 제5회 박판성형 SYMPOSIUM
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    • pp.55-60
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    • 2006
  • Draw-bead is applied to control the material flow in a stamping process and improve the product quality by controlling the draw-bead restraining force (DBRF). Actual die design depends mostly on the trial-and-error method without calculating the optimum DBRF. Die design with the predicted value of DBRF can be utilized at the tryout stage effectively reducing the cost of the product development. For the prediction of DBRF, a simulation-based prediction model of the circular draw-bead is developed using the Box-Behnken design with selected shape parameters such as the bead height, the shoulder radius and the sheet thickness. The value of DBRF obtained from each design case by analysis is approximated by a second order regression equation. This equation can be utilized to the calculation of the restraining force and the determination of the draw-bead shape as a prediction model. For the evaluation of the prediction model, the optimum design of DBRF in sheet metal forming is carried out using response surface methodology. The suitable type of the draw-bead is suggested based on the optimum values of DBRF. The prediction model of the circular draw-bead proposes the design method of the draw-bead shape. The present procedure provides a guideline in the tool design stage for sheet metal forming to reduce the cost of the product development.

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고유 변형도법과 리메슁 기술을 접목한 블록의 역세팅 형상 예측기술 (Prediction Technology of Reverse Setting Block Shape with Inherent Strain Method and Re-meshing Technology)

  • 현충민;최한석;박창우;김성훈
    • 한국해양공학회지
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    • 제31권6호
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    • pp.425-430
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    • 2017
  • In order to reduce the cost of corrections and time needed for the block assembly process, the reverse setting method is applied for a back-heated block to neutralize deck deformation. The proper reverse setting shape for a back-heated block to correct deformation improved the deck flatness, but an excessive amount of reverse setting could inversely affect the flatness of the block. A prediction method was developed for the proper reverse setting shape using a back-heated block, considering the complex geometry of blocks, thickness of the deck plate, and thermal loading conditions such as welding and back-heating. The prediction method was developed by combining the re-meshing technique and inherent strain-based deformation analysis using the finite element method. Because the flatness deviation was decreased until the lower critical point and thereafter it tended to increase again, the optimum value for which the flatness was the best case was selected by repeatedly calculating the predefined reverse setting values. Based on this analysis and the study of the back-heating deformation of large assembly blocks, including the reverse setting shape, the mechanism for selecting the optimum reverse setting value was identified. The developed method was applied to the actual blocks of a ship, and it was confirmed that the flatness of the block was improved. It is concluded that the developed prediction method can be used to predict the optimum reverse setting shape value of a ship's block, which will reduce the cost of corrections in the construction stage.

확률밀도함수를 이용한 피로균열 발생수명 예측에 관한 연구 (A Study on the Prediction of Fatigue Life by use of Probability Density Function)

  • 김종호
    • Journal of Advanced Marine Engineering and Technology
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    • 제23권4호
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    • pp.453-461
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    • 1999
  • The estimation of fatigue life at the design stage is very important in order to arrive at feasible and cost effective solutions considering the total lifetime of the structure and machinery compo-nents. In this study the practical procedure of prediction of fatigue life by use of cumulative damage factors based on Miner-Palmgren hypothesis and probability density function is shown with a $135,000m^3$ LNG tank being used as an example. In particular the parameters of Weibull distribution taht determine the stress spectrum are dis-cussed. At the end some of uncertainties associated with fatigue life prediction are discussed. The main results obtained from this study are as follows: 1. The practical procedure of prediction of fatigue life by use of cumulative damage factors expressed in combination of probability density function and S-N data is proposed. 2. The calculated fatigue life is influenced by the shape parameter and stress block. The conser-vative fatigue design can be achieved when using higher value of shape parameter and the stress blocks divded into more stress blocks.

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다양한 형상의 충전물로 채워진 충전층 집진기의 집진성능 예측 (Prediction of collection performance for a granular bed filter filled with various shapes of packing material)

  • 박재현;이명화
    • 한국입자에어로졸학회지
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    • 제19권4호
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    • pp.145-154
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    • 2023
  • Granular bed filters are widely used to remove particulate matter in flue gas and are filled with various shapes of packing material. The packing material plays an important role in determining the overall collection performance, such as pressure drop and collection efficiency. The pressure drop of a granular bed filter has been calculated using the Ergun equation, while the collection efficiency has been predicted using the log-penetration equation based on the single sphere theory. However, a prediction equation of collection efficiency for a granular bed filter filled with non-spherical packing materials has not been suggested yet. Therefore, in this study, three different shapes of packing materials (sphere, cylinder, and irregular) were prepared to propose a prediction equation. The pressure drop and collection efficiency in a granular bed filter filled with each shape of packing material were measured experimentally and compared with theoretically predicted values. We found that experimentally measured pressure drops matched well with values theoretically predicted using the Ergun equation considering the shape factor. However, experimental collection efficiencies were higher than theoretical ones predicted by the log-penetration equation using the single sphere theory. We modified the log-penetration equation by employing a shape factor and found a good relationship between experimental and theoretical collection efficiencies.

실 가공형 CAM 시스템 연구: 가공형상의 예측 및 실험 검증 (A Study on the Virtual Machining CAM System : Prediction and Experimental Verification of Machined Surface)

  • 김형우;서석환;신창호
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.961-964
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    • 1995
  • For geometric accuracy in the net shape machining, the problem of tool deflection should be resolved in some fashion. In particular, this is crucial in finish cut operation where slim tools are used. The purpose of this paper is to verify the validity and effectiveness of the prediction model of the machined surface. Experimental results are presented for the cut of steel material with HSS endmill of diameter 6mm on machining center. The results shows that 1) the machining error due totool deflection is serious even in the low cutting load, 2) by using the mechanistic simulation model with experimental coefficients, the machining error was predicted with maximum prediction error of 10% which was significantly reduced to the desired level by the path modification method.

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