• Title/Summary/Keyword: Statistical-Mechanical Model

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기계시스템의 공차에 의한 속도 및 가속도 오차의 해석 (Velocity and Acceleration Error Analysis of Planar Mechanism Due to Tolerances)

  • 이세정
    • 대한기계학회논문집
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    • 제18권2호
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    • pp.351-358
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    • 1994
  • A probabilistic model and analysis methods to determine the means and variances of the velocity and acceleration in stochastically-defined planar pin jointed kinematic chains are presented. The presented model considers the effect of tolerances on link length and radial clearance and uncertainty of pin location as a net effect on the link's effective length. The determination of the mean values and variances of the output variables requires the calculation of sensitivities of secondary variables with respect to the random variables. It is shown that this computation is straightforward and can be accomplished by a conventional kinematic analysis package with minor modification. Thus, the concepts of tolerance and clearance have been captured by the model and analysis. The only input data are the nominal linkage model and statistical information. The "effective link length" model is shown to be applicable to both analytical solution and Monte Carlo simulation. The results from both methods are compared. This paper Ksolves the higher-order kinematic problems for the probabilistic design analysis of stochastically-defined mechanisms.echanisms.

평균풍속 및 난류 예측을 위한 도심지 모델 (Urban Model for Mean Flow and Turbulence)

  • 김병구;이창훈;김석철;주석준;장동두;심우섭
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회B
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    • pp.2923-2928
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    • 2007
  • The study of model for velocity and turbulence within the urban canopy was carried out. To evaluate existing urban model we conducted wind tunnel experiment and large-eddy simulation (LES). Mean velocity profile and turbulence are measured within simple three different obstacle arrays. To obtain supplemental data and to verify morphological model large-eddy simulation was performed. Several methods have been used to achieve embodying the flow field in urban area. Recently, morphological method obtaining flow parameters from the statistical or physical representation of obstacle elements is a arising method. It was found that all morphological model, evaluated in this study, over predict the friction velocity, most sensitive one among the flow parameters. Velocity and turbulence in the urban canopy layer were improved by the correction using 'true' friction velocity.

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Cox Model 을 이용한 공기압 실린더의 수명예측에 관한 연구 (A Study on Life Prediction of Pneumatic Cylinder using Cox Model)

  • 강보식;김형의;장무성
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.1387-1390
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    • 2008
  • Pneumatic cylinder is widely used in the various industrial fields. Reliability Study of this field is very important part to the related companies. In this study, we want to predict the life of pneumatic cylinder using Cox (or proportional hazards) model. Used in biomedical applications, the Cox model can be used as an accelerated life testing model. We considered working pressure and temperature as stress factors. The statistical software is used to analyze and forecast the life data.

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DEVELOPMENT OF THE HANSEL-SPITTEL CONSTITUTIVE MODEL GAZED FROM A PROBABILISTIC PERSPECTIVE

  • LEE, KYUNGHOON;KIM, JI HOON;KANG, BEOM-SOO
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제21권3호
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    • pp.155-165
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    • 2017
  • The Hansel-Spittel constitutive model requires a total of nine parameters for flow stress prediction. Typically, the parameters are estimated by least squares methods for given tensile test measurements from a deterministic perspective. In this research we took a different approach, a probabilistic viewpoint, to see through the development of the Hansel-Spittel constitutive model. This perspective change showed that deterministic least squares methods are closely related to statistical maximum likelihood methods via Gaussian noise assumption. More intriguingly, this perspective shift revealed that the Hansel-Spittel constitutive model may leave out deterministic trends in residuals despite nearly perfect agreement with measurements. With tensile test measurements of AA1070 aluminum alloy, we demonstrated this deficiency of the Hansel-Spittel constitutive model, suggesting room for improvement.

Neutron Cross Section Evaluation on Dy Isotopes

  • Lee, Y. D.;J. H. Chang
    • Nuclear Engineering and Technology
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    • 제34권2호
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    • pp.154-164
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    • 2002
  • Neutron cross section data on Dy-160, Dy-161, Dy-162, Dy-163 and Dy-164 were calculated and evaluated in the energy range of 1 keV to 20 MeV using a spherical optical model, statistical model and pre-equilibrium model. The energy dependent optical model potential parameters were obtained based on the recent experimental data. The width fluctuation correction in Hauser-Feshbach particle decay and the quantum mechanical approach in pre-equilibrium analysis were introduced and gave a better cross section calculation in EMPIRE-II. The total, elastic scattering and threshold reaction cross sections were evaluated and compared with the evaluated files. The model calculated (n, tot), (n, ${\gamma}$) and (n, p) cross sections were in good agreement with the experimental data in the measured energy range. The results will be applied to ENDF/B-VI for data improvement.

Experimental analysis and modeling of steel fiber reinforced SCC using central composite design

  • Kandasamy, S.;Akila, P.
    • Computers and Concrete
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    • 제15권2호
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    • pp.215-229
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    • 2015
  • The emerging technology of self compacting concrete, fiber reinforcement together reduces vibration and substitute conventional reinforcement which help in improving the economic efficiency of the construction. The objective of this work is to find the regression model to determine the response surface of mix proportioning Steel Fiber Reinforced Self Compacting Concrete (SFSCC) using statistical investigation. A total of 30 mixtures were designed and analyzed based on Design of Experiment (DOE). The fresh properties of SCC and mechanical properties of concrete were studied using Response Surface Methodology (RSM). The results were analyzed by limited proportion of fly ash, fiber, volume combination ratio of two steel fibers with aspect ratio of 50/35: 60/30 and super plasticizer (SP) dosage. The center composite designs (CCD) have selected to produce the response in quadratic equation. The model responses included in the primary stage were flowing ability, filling ability, passing ability and segregation index whereas in harden stage of concrete, compressive strength, split tensile strength and flexural strength at 28 days were tested. In this paper, the regression model and the response surface plots have been discussed, and optimal results were found for all the responses.

1차 동저항 패턴의 통계적 분석에 의한 저항 점 용접의 용접 품질 예측에 관한 연구 (Weld Quality Assurance Method using Statistical Analysis of Primary Dynamic Resistance During Resistance Spot Welding)

  • 조용준;이세현
    • 대한기계학회논문집A
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    • 제24권10호
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    • pp.2581-2588
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    • 2000
  • In previous studies, the dynamic resistance, which was calculated by the process variables measured at the electrode of the welding machine, and the electrode displacement were used for quality exa mination. However, in-process usage of such systems is not effective in systems that include a welding gun attached to a robot. In order to overcome such problems, we obtained and used the process variables from the welding machine timer. This would allow us to estimate real time in -process weld quality. For quality estimation, the features were extracted as factors from the primary dynamic resistance patterns, which were measured in t he welding machine timer. The relationship between the indexes and nugget size of the welds was observed through the regression analysis. Using the analyzed factors, a regression model that could estimate nugget diameter was developed. Two regression equations of the model were suggested depending on the factors, and it was showed that the model developed by stepwise method was effective one for weld quality estimation. The developed estimation model was in good linearity with the nugget diameter obtained through the experimentation.

회체가스중합모델에 기초한 연소가스의 파장별 복사 성질 (WSGGM-Based Spectral Modeling for Radiation Properties of Combustion Products)

  • 김옥중;송태호
    • 대한기계학회논문집B
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    • 제23권5호
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    • pp.628-636
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    • 1999
  • This work describes the low-resolution spectral modeling of the water vapor, carbon dioxide and their mixtures by applying the weighted-sum-of-gray-gas-gases model (WSGGM) to each narrow band. Proper modeling scheme of gray gas absorption coefficients vs temperature relation is suggested. Comparison between the modeled emissivity calculated from this relation and the 'true' emissivity obtained from the high temperature statistical narrow band parameters is made for a few typical narrow bands. Low resolution spectral intensities from one-dimensional layers are also obtained and examined for uniform, parabolic and boundary layer type temperature profiles using the obtained WSGGM's with several gray gases. The results are compared with the narrow band spectral intensities obtained by a narrow band model-based code with Curtis-Godson approximation. Good agreement is found between them. Data bases including optimized modeling parameters and total and low-resolution spectral weighting factors are developed for water vapor, carbon dioxide and their mixtures. This model and obtained data bases, available from the authors' Internet site, can be appropriately applied to any radiative transfer equation solver.

공간선형모형을 이용한 전산실험의 분석과 활용 (Analysis and Usage of Computer Experiments Using Spatial Linear Models)

  • 박정수
    • 품질경영학회지
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    • 제34권2호
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    • pp.122-128
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    • 2006
  • One feature of a computer simulation experiment, different from a physical experiment, is that the output is often deterministic. Moreover the codes are computationally very expensive to run. This paper deals with the design and analysis of computer experiments(DACE) which is a relatively new statistical research area. We model the response of computer experiments as the realization of a stochastic process. This approach is basically the same as using a spatial linear model. Applications to the optimal mechanical designing and model calibration problems are illustrated. Algorithms for selecting the best spatial linear model are also proposed.

적응형 인자 모델을 이용한 개선된 진공펌프 상태진단에 관한 연구 (Study on Vacuum Pump Monitoring Using Adaptive Parameter Model)

  • 이규호;이수갑;임종연;정완섭
    • 한국진공학회지
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    • 제20권3호
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    • pp.165-175
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    • 2011
  • 본 논문에서는 건식 진공펌프에서 측정한 다중 변수로 구성된 배치데이터의 통계적인 특성을 소개한다. 흡입구 및 배출구 압력과 부스터/드라이 펌프의 소비전류와 같은 상태변수의 변위분포는 2개나 3개의 특정적인 구간으로 나뉘는 특성이 있다. 이런 관측을 통해 발견한 통계학적 특성을 나타내기 위해 적응형 인자 모델(APM)을 사용하였다. APM 모델기반의 배치 데이터는 건식 진공펌프의 상태를 진단하는데 적절함을 증명하였고, 이전의 동적 시간 왜곡 알고리즘과 비교하였을 때 계산시간 및 필요 메모리 면에서 효율적임을 확인하였다.