• Title/Summary/Keyword: automatic modeling

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Torsional Vibration Control of a Rotating Chamber Shaft System Using Electrorheological Fluid (ER 유체를 이용한 회전식 약실 축계의 비틀림 진동 제어)

  • Lim, Seung-Chul;Kim, Ki-Kap;Kil, Seong-Jin;Shim, Jeong-Soo;Cha, Ki-Up
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.1
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    • pp.17-24
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    • 2011
  • It is reported that an intermittently rotating chamber system will improve the ratio of firepower to armament space in the case of mid-calibre automatic guns. However, the parallel index, which is a main component of the system, tends to be torsionally flexible due to the low lateral stiffness of cam followers on the index turret. This may cause the shaft system connecting the turret with the chamber prone to considerable residual torsional vibration so that serious misalignment problems occur during ammunition loading and firing processes. Herein, an electrorhelogical (ER) fluid actuator that can suppress such vibrations and the associated semiactive control algorithm are proposed. By mathematical modeling and computer simulations, the performance of the entire system is proved satisfactory.

Structural analysis for the development of a vertically raise type aerial work machinery (수직상승형 고소작업차의 개발을 위한 구조해석)

  • Lee, Sang-Sik;Kim, Jun-Tae;Park, Won-Yeop
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.3
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    • pp.225-231
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    • 2017
  • This study was carried out for the production of aerial work machinery in high place in the orchard. In the case of orchards, there are many unpaved roads and sloping grounds to solve the problem of overturning or safety problems when working in a orchard. For more stable operation, an automatic leveling system was designed. During the structural analysis, the horizontal sensor was installed in addition to the standard that we wanted. Based on the INVENTOR, the structural analysis through 3D modeling showed that the maximum tilt of the worker was 116.49Mpa on the left and 118.26Mpa on the right.

Variability Support in Component-based Product Lines using Component Code Generation (컴포넌트 코드 생성을 통한 컴포넌트 기반 제품 라인에서의 가변성 지원)

  • Choi, Seung-Hoon
    • Journal of Internet Computing and Services
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    • v.6 no.4
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    • pp.21-35
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    • 2005
  • Software product-lines is the software development paradigm to attain the rapid development of quality applications by customizing the reconfigurable components and composing them based on predefined software architectures. Recently various methodologies for the component-based product lines are proposed, but these don't provide the specific implementation techniques of the components in terms of variability resolution mechanism. In other hand, the several approaches to implement the component supporting the variabilities resolution are developed, but these don't define the systematic analysis and design method considering the variabilities from the initial phase. This paper proposes the integration of PLUS, the one of product line methodologies extending UML modeling, and component code generation technique in order to increase the efficiency of producing the specific product in the software product lines. In this paper, the component has the hierarchical architecture consisting of the implementation elements, and each implementation elements are implemented as XSLT scripts. The codes of the components are generated from the feature selection. Using the microwave oven product lines as case study, the development process for the reconfigurable components supporting the automatic variability resolution is described.

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Development of an Automated Aero-Structure Interaction System for Multidisciplinary Design Optimization for the Large AR Aircraft Wing (가로세로비가 큰 항공기 날개의 다분야 통합 최적설계를 위한 자동화 공력-구조 연계 시스템 개발)

  • Jo, Dae-Sik;Yoo, Jae-Hoon;Joh, Chang-Yeol;Park, Chan-Woo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.7
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    • pp.716-726
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    • 2010
  • In this research, design optimization of an aircraft wing has been performed using the fully automated Multidisciplinary Design Optimization (MDO) framework, which integrates aerodynamic and structural analysis considering nonlinear structural behavior. A computational fluid dynamics (CFD) mesh is generated automatically from parametric modeling using CATIA and Gambit, followed by an automatic flow analysis using FLUENT. A computational structure mechanics (CSM) mesh is generated automatically by the parametric method of the CATIA and visual basic script of NASTRAN-FX. The structure is analyzed by ABAQUS. Interaction between CFD and CSM is performed by a fully automated system. The Response Surface Method (RSM) is applied for optimization, helping to achieve the global optimum. The optimization design result demonstrates successful application of the fully automated MDO framework.

Application of ecosystem modeling for the assessment of water quality in an eutrophic marine environment; Jinhae Bay (부영양화된 해양환경의 수질개선을 위한 해양생태계모델링의 적용 ; 한국의 진해만)

  • Lee, Won-Chan;Park, Sung-Eun;Hong, Sok-Jin;Oh, Hyun-Taik;Jung, Rea-Hong;Koo, Jun-Ho
    • Proceedings of KOSOMES biannual meeting
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    • 2006.11a
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    • pp.217-219
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    • 2006
  • This study focused an water quality response to land-based pollution loads and the appropriate pollutant load reduction in Chinhae Bay using an eco-hydrodynamic model. Land-based discharge foam urban areas, industrial complex and sewage treatment plant was the greatest contributor to cause red-tide blooms and summer hypoxia. Tidal currents velocity af the ebb tide was about 10 cm/s stronger than that of the flood tide. A residual current was simulated to. have a slightly complicated pattern with ranging from 0.1 to. 2.7 cm/s. In Masan Bay, pollutant materials cannot flaw from the inner to the outer bay easily because af residual currents flaw southward at surface and northward at the bottom. The simulation results of COD distribution showedhigh concentrations aver 3 mg/L in the inner part of Masan Bay related pollutant discharge, and charge, and lower levels less than 1.5mg/L in the central part of Chinhae Bay. For improvement water quality in Chinhae Bay, it is necessary to reduce the organic and inorganic loads from paint sources by mare than 50% and ameliorate severe polluted sediment.

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Multi-Agent based Operation System Modeling for Automated Container Terminals (자동화 컨테이너 터미널을 위한 멀티에이전트 기반의 운영시스템 모델링)

  • Kang K W.;Yu S. Y.;Mo S. J.;Yim J. H.
    • Journal of Navigation and Port Research
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    • v.29 no.6 s.102
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    • pp.567-572
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    • 2005
  • Trade between nations has been globalized since establishing the WTO(World Trade Organization). By lowering trading barriers under the WTO's system, trade in goods has been gradually increased It requires global logistic system that transports goods in between nations. To save cost of product, cargo of product is containerized and container ships to carry container cargo is going to be bigger: In the market, there are many vendors to provide artificial intelligent modules to operate container terminal. In order to integrate automated container terminal system easily and successfully, this thesis proposes high-level XML/ JMS( eXtensive Markup Language/Java Message Service) communication model and multi-agent based system architecture to share knowledges, solve problems, and active objectives by cooperating between autonomous and intelligent agents that are developed by 3rd party companies in the market. This thesis analyzed current situation of advanced automated container terminal with case studies on implemented systems and difficulties to develop automated container terminal system, reviewed technologies of intelligent agent, communication and automation that unmaned automated container terminal is required.

Automating Model Building Processes for Simulation of Complex Manufacturing and Logistics Systems (복잡한 제조 및 물류 시스템에서의 시뮬레이션을 위한 자동 모델 생성 프로세스)

  • Seo, Jeong Hoon;Kim, Kap Hwan
    • Journal of the Korea Society for Simulation
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    • v.27 no.2
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    • pp.125-137
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    • 2018
  • Simulations have been used to evaluate the efficiency of logistics or manufacturing systems and predict the outcomes of the systems. New simulation models are needed to evaluate new alternative plants and layouts during the resource design process. Although it is easy to handle minor changes in parameters by modifying a simulation model, it takes considerable time and effort for simulation modelers to alter the layout, which involves changes in many simulation sub-models. Therefore, this study proposes a method to transfer information in AutoCAD layout to the simulation model automatically. This study also defines a standard document as an Excel Form, and suggests a method to transfer information on the basic layouts, processes, resources, and workers to a simulation model automatically. A simulation tool, called Tecnomatix Plant Simulation 9.0, was used for this study. The proposed approach in this study was applied to a semiconductor wafer factory for a case study.

Construction of 3D CAD Template for the Efficient Design of Refrigerator Components (냉장고 부품 설계 효율화를 위한 3D CAD 템플릿 구축)

  • Lim, O-Kaung;Park, Sam-Kyu;Choi, Eun-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.22 no.3
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    • pp.243-250
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    • 2009
  • In order to reduce the time needed for design, enterprises recently need the customizing technology that can modify the functions of existing CAD systems according to the their purposes. So most of the companies developing commercial CAD system are providing API to make possible the preparation of macro or external programs, which allow automatic performance of a series of repeated tasks. The objective of the present paper is to achieve more convenient carrying out of a particular modeling, by developing 3D CAD template of the standardized engineering rule of the particular model in order to establish a knowledge-based product development system. The formula, data and design knowledge which are required for the designing of the components of refrigerator were made into a program by means of Unigraphics' UG/Open API. And examples of such a development were presented. By using them in connection with commercial CAD system, design verification and modification were efficiently applied to the product design business.

Bayesian analysis of adjustment function for wind-induced loss of precipitation (바람의 영향에 의한 관측 강우 손실에 대한 베이지안 모형 분석)

  • Park, Yeongwoo;Kim, Young Min;Kim, Yongku
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.483-492
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    • 2017
  • Precipitation is one of key components in hydrological modeling and water balance studies. A comprehensive, optimized and sustainable water balance monitoring requires the availability of accurate precipitation data. The amount of precipitation measured in a gauge is less than the actual precipitation reaching the ground. The objective of this study is to determine the wind-induced under-catch of solid precipitation and develop a continuous adjustment function for measurements of all types of winter precipitation (from rain to dry snow), which can be used for operational measurements based on data available at standard automatic weather stations. This study provides Bayesian analysis for the systematic structure of catch ratio in precipitation measurement.

Design of Very Short-term Precipitation Forecasting Classifier Based on Polynomial Radial Basis Function Neural Networks for the Effective Extraction of Predictive Factors (예보인자의 효과적 추출을 위한 다항식 방사형 기저 함수 신경회로망 기반 초단기 강수예측 분류기의 설계)

  • Kim, Hyun-Myung;Oh, Sung-Kwun;Kim, Hyun-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.128-135
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    • 2015
  • In this study, we develop the very short-term precipitation forecasting model as well as classifier based on polynomial radial basis function neural networks by using AWS(Automatic Weather Station) and KLAPS(Korea Local Analysis and Prediction System) meteorological data. The polynomial-based radial basis function neural networks is designed to realize precipitation forecasting model as well as classifier. The structure of the proposed RBFNNs consists of three modules such as condition, conclusion, and inference phase. The input space of the condition phase is divided by using Fuzzy C-means(FCM) and the local area of the conclusion phase is represented as four types of polynomial functions. The coefficients of connection weights are estimated by weighted least square estimation(WLSE) for modeling as well as least square estimation(LSE) method for classifier. The final output of the inference phase is obtained through fuzzy inference method. The essential parameters of the proposed model and classifier such ad input variable, polynomial order type, the number of rules, and fuzzification coefficient are optimized by means of Particle Swarm Optimization(PSO) and Differential Evolution(DE). The performance of the proposed precipitation forecasting system is evaluated by using KLAPS meteorological data.