• Title/Summary/Keyword: Modeling and controlling

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Trends in Materials Modeling and Computation for Metal Additive Manufacturing

  • Seoyeon Jeon;Hyunjoo Choi
    • Journal of Powder Materials
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    • v.31 no.3
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    • pp.213-219
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    • 2024
  • Additive Manufacturing (AM) is a process that fabricates products by manufacturing materials according to a three-dimensional model. It has recently gained attention due to its environmental advantages, including reduced energy consumption and high material utilization rates. However, controlling defects such as melting issues and residual stress, which can occur during metal additive manufacturing, poses a challenge. The trial-and-error verification of these defects is both time-consuming and costly. Consequently, efforts have been made to develop phenomenological models that understand the influence of process variables on defects, and mechanical/ electrical/thermal properties of geometrically complex products. This paper introduces modeling techniques that can simulate the powder additive manufacturing process. The focus is on representative metal additive manufacturing processes such as Powder Bed Fusion (PBF), Direct Energy Deposition (DED), and Binder Jetting (BJ) method. To calculate thermal-stress history and the resulting deformations, modeling techniques based on Finite Element Method (FEM) are generally utilized. For simulating the movements and packing behavior of powders during powder classification, modeling techniques based on Discrete Element Method (DEM) are employed. Additionally, to simulate sintering and microstructural changes, techniques such as Monte Carlo (MC), Molecular Dynamics (MD), and Phase Field Modeling (PFM) are predominantly used.

Development of Control Method for Self-Driving Roller Conveyor Based on 3D Simulation (자체 구동 롤러 컨베이어의 3차원 시뮬레이션 기반 제어 기법 개발)

  • Seokwon Lee;Byungmin Kim;Heon Huh
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.861-864
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    • 2024
  • The self-driving roller conveyor system, which transports target products by controlling multiple rollers with a motor, is a logistics system suitable for branching and joining logistics and controlling the alignment of target products, and its utilization is increasing, especially in the food manufacturing process. In this paper, we build a simulation environment using Unity software based on 3D graphic modeling of a self-driving roller conveyor system. In a situation where target products are supplied irregularly in terms of time, a method is proposed that can align products to maintain constant spacing by controlling the rollers. Simulation results show that effective alignment of products is possible by controlling the motor that drives the roller based on sensor data of the product position.

Hybrid genetic-paired-permutation algorithm for improved VLSI placement

  • Ignatyev, Vladimir V.;Kovalev, Andrey V.;Spiridonov, Oleg B.;Kureychik, Viktor M.;Ignatyeva, Alexandra S.;Safronenkova, Irina B.
    • ETRI Journal
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    • v.43 no.2
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    • pp.260-271
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    • 2021
  • This paper addresses Very large-scale integration (VLSI) placement optimization, which is important because of the rapid development of VLSI design technologies. The goal of this study is to develop a hybrid algorithm for VLSI placement. The proposed algorithm includes a sequential combination of a genetic algorithm and an evolutionary algorithm. It is commonly known that local search algorithms, such as random forest, hill climbing, and variable neighborhoods, can be effectively applied to NP-hard problem-solving. They provide improved solutions, which are obtained after a global search. The scientific novelty of this research is based on the development of systems, principles, and methods for creating a hybrid (combined) placement algorithm. The principal difference in the proposed algorithm is that it obtains a set of alternative solutions in parallel and then selects the best one. Nonstandard genetic operators, based on problem knowledge, are used in the proposed algorithm. An investigational study shows an objective-function improvement of 13%. The time complexity of the hybrid placement algorithm is O(N2).

Advanced Tools for Modeling, Design and Optimization of Wind Turbine Systems

  • Iov Florin;Hansen Anca Daniela;Jauch Clemens;Sorensen Poul;Blaabjerg Frede
    • Journal of Power Electronics
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    • v.5 no.2
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    • pp.83-98
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    • 2005
  • As wind turbine technology and control has advanced over the last decade, this has led to a high penetration of wind turbines into the power system. Whether it be for a large wind turbine or an offshore wind farm with hundreds of MW power capacity, the electrical system has become more and more important in controlling the interaction between the mechanical system of the wind turbine and the main power system. The presence of power electronics in wind turbines improves their controllability with respect not only to its mechanical loads but also to its power quality. This paper presents an overview of a developed simulation platform for the modeling, design and optimization of wind turbines. The ability to simulate the dynamic behavior of wind turbines and the wind turbine grid interaction using four simulation tools (Matlab, Saber, DIgSILENT and HAWC) is investigated, improved and extended.

Using Geometric Constraints for Feature Positioning (특징형상 위치 결정을 위한 형상 구속조건의 이용)

  • Kim, S.H.;Lee, K.W.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.9
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    • pp.84-93
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    • 1996
  • This paper describes the development of new feature positioning method which embedded into the top-down assembly modeling system supporting conceptual design. In this work, the user provides the geometric constraints representing the position and size of features, then the system calculates their proper solution. The use of geometric constraints which are easy to understand intuitively enables the user to represent his design intents about geometric shapes, and enables the system to propagate the changes automatically when some editing occurs. To find the proper solution of given constraints, the Selective Solving Method in which the redundant or conflict equations are detected and discarded is devised. The validity of feature shapes satisfying the constraints can be maintained by this technique, and under or over constrained user-defined constraints can also be estimated. The problems such as getting the initial guess, controlling the multiple solutions, and dealing with objects of rotational symmetry are also resolved. Through this work, the feature based modeling system can support more general and convenient modeling method, and keeps the model being valid during modifying models.

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Structural Safety Evaluation of Hydraulic Steering System for Ship (선박용 유압 조타 시스템의 구조적 안전성 평가)

  • Lee, Moonhee;Son, Insoo;Yang, Changgun
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.4_2
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    • pp.661-667
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    • 2020
  • The optimal shape modeling of core parts through 3D modeling and structural analysis for the development of small and medium-sized ships. The goal is to improve the efficient structure of the hydraulic system for controlling the rudder among the core steering parts in small and medium-sized ships. Through 3D modeling and structural analysis, a new concept of tiller parts and a double-acting hydraulic cylinder control system were proposed and operational structural stability was evaluated. Structural analysis of the three different tiller designs that can be replaceable onto existing fishing vessels was conducted to derive the final shapes. The emphasis was placed on evaluating the structural stability of the key drive components, the tiller, pin, and cylinder rodin the maximum torque condition of the hydraulic cylinder.

Modeling for Biological Nitrogen Removal in Step-Feed Process (Step-Feed 공정에서의 생물학적 질소제거 Modeling)

  • Lee, Byung-Dae
    • Journal of the Korean Applied Science and Technology
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    • v.22 no.1
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    • pp.62-70
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    • 2005
  • Step-feed process for biological nitrogen removal were analyzed numerically for the each unit and final total nitrogen(TN) effluent by water quality management(WQM) model and the results were compared data from these wastewater treatment plants. No bugs and logic error were occurred during simulation work. All of the simulation results tried to two times were obtained and both results were almost same as this model has become good reappearance. It was concluded that most of nitrogen removal occurred in the first oxic tank. Thus the controlling of the first anoxic tank may be more important in term of nitrogen removal. Also each unit of simulation result was kept good relationship with that of measured data. Accordingly this WQM model has good reliance. Finally, WQM model can predict final TN effluent within ${\pm}6.0mg/{\ell}$.

In Search of Models in Speech Communication Research

  • Hiroya, Fujisaki
    • Phonetics and Speech Sciences
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    • v.1 no.1
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    • pp.9-22
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    • 2009
  • This paper first presents the author's personal view on the importance of modeling in scientific research in general, and then describes two of his works toward modeling certain aspects of human speech communication. The first work is concerned with the physiological and physical mechanisms of controlling the voice fundamental frequency of speech, which is an important parameter for expressing information on tone, accent, and intonation. The second work is concerned with the cognitive processes involved in a discrimination test of speech stimuli, which gives rise to the phenomenon of so-called categorical perception. They are meant to illustrate the power of models based on deep understanding and precise formulation of the functions of the mechanisms/processes that underlie observed phenomena. Finally, it also presents the author's view on some models that are yet to be developed.

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A Strategy of Adjusted Internet Traffic Modeling using Heavy-Tailed Distributions (두꺼운 꼬리 분포를 이용한 수정된 인터넷 트래픽 모델)

  • Ji, Seon-Su
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.3
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    • pp.10-18
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    • 2007
  • According to the recent growth of the internet commercialization and differentiated QoS(quality of service), statistical traffic modeling is necessary for forecasting and controlling future network capacity. This paper reviews tile essential components in web workloads. And I propose adjusted internet traffic modeling using heavy-tailed distributions and intervention techniques.

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PSCAD/EMTDC Based Modeling of a Grid-Connected Photovoltaic Generation System (PSCAD/EMTDC를 이용한 계통연계형 태양광발전시스템의 모델링)

  • Kim, Seul-Ki;Jeon, Jin-Hong;Kim, Eung-Sang
    • Proceedings of the KIEE Conference
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    • 2004.11b
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    • pp.204-207
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    • 2004
  • The paper proposes a simulation model of grid-connected photovoltaic generation system (PV system) using on PSCAD/EMTDC, a reliable power system and apparatus transient analysis program. A equivalent circuit model of a solar cell is used for modeling solar array. A series of parameters required for array modeling are deduced from general specification data of a solar module. A PWM voltage source inverter (VSI) model is presented and current control scheme is implemented for VSI control. A maximum power point tracking (MPPT) technique is applied for controlling the PV system. Simulation case study provides V-I and V-P characteristics of solar array and PV system control performance for irradiation changes.

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