• 제목/요약/키워드: Sam Model

검색결과 1,022건 처리시간 0.022초

소결공정에서의 완전 소결점 위치 제어에 관한 연구 (A Study on Burnthrough Point Control in Sintering Process)

  • 이상정;김점근;고명삼;권욱현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1985년도 하계학술회의논문집
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    • pp.55-60
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    • 1985
  • A state-space model of a burn through point control system of an industrial sintering process is derived. The model is then used in designing a self-tuning controller which consists of the receding horizon control law and a least-squares prediction algorithm. By applying this adaptive controller to POSCO sintering process IV, satisfactory expermental results have been obtained. Some of these practical results are presented in this paper.

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Strain localization and failure load predictions of geosynthetic reinforced soil structures

  • Alsaleh, Mustafa;Kitsabunnarat, Akadet;Helwany, Sam
    • Interaction and multiscale mechanics
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    • 제2권3호
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    • pp.235-261
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    • 2009
  • This study illustrates the differences between the elasto-plastic cap model and Lade's model with Cosserat rotation through the analyses of two large-scale geosynthetic-reinforced soil (GRS) retaining wall tests that were brought to failure using a monotonically increasing surcharge pressure. The finite element analyses with Lade's model were able to reasonably simulate the large-scale plane strain laboratory tests. On average, the finite element analyses gave reasonably good agreement with the experimental results in terms of global performances and shear band occurrences. In contrast, the cap model was not able to simulate the development of shear banding in the tests. In both test simulations the cap model predicted failure loads that were substantially less than the measured ones.

분위기 조건에 따른 GDI 엔진용 인젝터의 분무거동 및 증발특성에 대한 수치적 해석 (Numerical Analysis of Spray Behavior and Vaporization Characteristic of GDI Engine Injector Under Ambient Conditions)

  • 심영삼;황순철;김덕줄
    • 대한기계학회논문집B
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    • 제28권5호
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    • pp.545-552
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    • 2004
  • The purpose of this study is to improve the prediction ability of the atomization and vaporization processes of GDI spray. Several models have been introduced and compared. The atomization process was modeled using hybrid breakup model that is composed of Linearized Instability Sheet Atomization (LISA) model and Aerodynamically Progressed TAB (APTAB) model. The vaporization process was modeled using Spalding model and Abramzon & Sirignano model. Exciplex fluorescence method was used for comparing calculated with experimental results. The experiment and computation were performed at the ambient pressure of 0.1 MPa, 0.5 MPa and 1.0 MPa and the ambient temperature of 293k and 473k. Comparison of calculated and experimental spray characteristics was carried out and the calculated results of GDI spray showed good agreement with experimental results.

Estimation algorithms of the model parameters of robotic manipulators

  • Ha, In-Joong;Ko, Myoung-Sam;Kwon, Seok-Ki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.932-938
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    • 1987
  • The dynamic equations of robotic manipulators can be derived from either Newton-Euler equation or Lagrangian equation. Model parameters which appear in the resulting dynamic equation are the nonlinear functions of both the inertial parameters and the geometric parameters of robotic manipulators. The identification of the model parameters is important for advanced robot control. In the previous methods for the identification of the model parameters, the geometric parameters are required to be predetermined, or the robotic manipulators are required to follow some special motions. In this paper, we propose an approach to the identification of the model parameters, in which prior knowledge of the geometric parameters is not necessary. We show that the estimation equation for the model parameters can be formulated in an upper block triangular form. Utilizing the special structures, we obtain a simplified least-square estimation algorithm for the model parameter identification. To illustrate the practical use of our method, a 4DOF SCARA robot is examined.

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창원-마산지역에서 위성신호에 대한 강우의 영향 분석 ('88~'97) (Analysis of Rain Effect on the Satellite Signal in Changwon-Masan('88~'97))

  • 하연철;고봉진
    • 한국정보통신학회논문지
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    • 제3권4호
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    • pp.779-785
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    • 1999
  • 위성전송신호는 위성 전송로 상에 강우가 있을 경우 신호감쇠를 겪게된다. 강우에 의한 신호 열화량은 10 GHz 이상의 주파수를 사용한 경우 강수에 의한 감쇠 영향을 받게 되며, 높은 주파수 신호일수록 감쇠 정도가 심각하다. 강우에 의한 신호 열화량은 강우의 세기인 강우강도에 좌우되며, 강우 강도 분포 특성을 추정하기 위해서는 적어도 10년 이상의 장기간 데이터로부터 유도된 분포에 의해 가능하다. 본 논문에서는 창원-마산지역의 강우데이터(88년-97년)로부터, Moupfouma New Model을 이용하여 강우강도의 년 시간율 특성을 도출한 후, ITU-R모델, Global모델, SAM모델을 이용하여 강우감쇠를 예측하고 강우의 영향을 분석하였다.

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사무소 건축물의 화재안전 성능 평가모델 (Performance Assessment Model for Fire Safety Protection of Office Building)

  • 양은범;황영삼;이찬식
    • 한국안전학회지
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    • 제19권2호
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    • pp.69-74
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    • 2004
  • This study is to suggest a performance assessment model for fire safety protection of office building 34 asessment elements were chosen by interviewing with experts, reviewing several codes and existing relevant models, assessment elements included in this model are comprised of five categories which are 'performace of protected area', 'performance of fire partition', 'safety performance of fire escape', 'performace of smoke control system' and 'performace of fire fighting equipment'. The weight of each element was computed by systematic approach like an AHP (analytical hierarchy process), which was conducted by experts who work in the field of fire protection. This model would be utilized as a part of assessment model for the overall performace of domestic office building.

투과성 해안구조물의 Wave Run-up에 대한 CADMAS-SURF의 적용 (An Application of CADMAS-SURF to the Wave run-up in Permeable Coastal Structures)

  • 윤한삼;차종호;강윤구
    • 한국해양공학회지
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    • 제19권4호
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    • pp.49-55
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    • 2005
  • We constructed and demonstrated a numerical CADMAS-SURF(V4.0) model that reproduces the wave run-up characteristics on the slope of coastal structures and applied it to a permeable coastal structure. We also compared the numerical model with published experimental results on the hydrodynamic phenomena of structures and some numerical results for a modified Pbreak model. In conclusion, the CADMAS-SURF model efficiently simulated wave run-up on the slope of a permeable coastal structure. The inflow/outflow effects from the porous structure boundary were approximately $15\%$ more than with the modified Pbreak model. Nevertheless, the descriptions of the internal hydraulic characteristics still could not be full!! exacted from the result(Fig. 1 참조)s obtained in our model experiment.

상용코드를 이용한 원심펌프 임펠러 유동평가 (Flow Evaluations of Centrifugal Pump Impeller Using Commercial Code)

  • 심창열;홍순삼;강신형
    • 유체기계공업학회:학술대회논문집
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    • 유체기계공업학회 2000년도 유체기계 연구개발 발표회 논문집
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    • pp.285-292
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    • 2000
  • Numerical calculation is applied to centrifugal pump at design condition by using commercial code STAR-CD and Tascflow, and these results are compared with experimental data at impeller outlet. Numerical analysis is also performed by changing turbulence model and discretization scheme at design condition using Tascflow. Turbulence model and discretization scheme used to Tascflow are k-$\epsilon$, k-$\omega$ turbulence model and upwind, modified linear profile scheme. W;th the same turbulence model and discretization scheme, two results of STAR-CD and Tascflow are very similar. But there is significant difference in numerical results near hub and shroud of impeller with different kinds of turbulent model and discretization scheme at design condition. And with k- $\omega$ turbulence model and modified linear profile scheme, it is showed that numerical results are very similar to experimental results of impeller outlet

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신경망을 이용한 산업주가수익율의 예측 (Industry Stock Returns Prediction Using Neural Networks)

  • 권영삼;한인구
    • Asia pacific journal of information systems
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    • 제9권3호
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    • pp.93-110
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    • 1999
  • The previous studies regarding the stock returns have advocated that industry effects exist over entire industry. As the industry categories are more rigid, the demand for predicting the industry sectors is rapidly increasing. The advances in Artificial Intelligence and Neural Networks suggest the feasibility of a valuable computational model for stock returns prediction. We propose a sector-factor model for predicting the return on industry stock index using neural networks. As a substitute for the traditional models, neural network model may be more accurate and effective alternative when the dynamics between the underlying industry features are not well known or when the industry specific asset pricing equation cannot be solved analytically. To assess the potential value of neural network model, we simulate the resulting network and show that the proposed model can be used successfully for banks and general construction industry. For comparison, we estimate models using traditional statistical method of multiple regression. To illustrate the practical relevance of neural network model, we apply it to the predictions of two industry stock indexes from 1980 to 1995.

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