• Title/Summary/Keyword: positional design variable

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Structural dynamics modification using position of beam stiffener on plate (평판에서 빔 보강재의 결합 위치를 이용한 구조물 변경법)

  • Jung, Eui-Il;Park, Youn-Sik
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11a
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    • pp.361.2-361
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    • 2002
  • Substructures position is considered as design parameter to obtain optimal structural changes to raise its dynamic characteristics. In conventional SDM (structural dynamics modification) method, the layout of modifying substructures position is first fixed and at that condition the structural optimization is performed by using the substructures size and/or material property as design parameters. But in this paper as a design variable substructures global translational and rotational position is treated. (omitted)

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Generation of Unit Shape Layer on CAD/CAM System for VLM-ST (VLM-ST용 CAD/CAM 시스템에서 단위 형상층 생성 방법 및 적용예)

  • 이상호;안동규;최홍석;양동열;문영복;채희창
    • Korean Journal of Computational Design and Engineering
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    • v.7 no.3
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    • pp.148-156
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    • 2002
  • Most Rapid Prototyping (RP) processes adopt a solid Computer Aided Design (CAD) model, which will be sliced into thin layers of constant thickness in the building direction. Each cross-sectional layer is successively deposited and, simultaneously, bonded onto the previous layer; and eventually the stacked layers from a physical part of the model. A new RP process, the transfer-type Variable Lamination Manufacturing process using expandable polystyrene foam sheet (VLM-ST), has been developed to reduce building time and to improve the surface finish of parts with the thick layers and a sloping surface. This paper describes the generation of Unit Shape Layer (USL), the cutting path data of the linen. hotwire cutter for the VLM-ST process. USL is a three-dimensional layer with a thickness of more than 1 mm and a side slope, and it is the basic unit of cutting and building in the VLM-ST process. USL includes data such as layer thickness, positional coordinates, side angles of each layer, hotwire cutting speed, the heat input to the hotwire, and reference shape. The procedure of generating USL is as follows: (1)Generation of the mid-slice from the CAD model, (2)Conversion of the mid-slice into a simply connected domain, (3)Generation to the reference shape for the mid-slice, (4)Calculation of the rotation angle of the hotwire of the cutting system.

The Study of Gain Optimization of Sliding Model Controller with Sliding Perturbation Observer by using of Genetic Algorithm

  • K.S. You;Park, M.K.;Lee, M.C.
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.495-495
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    • 2000
  • The Stewart platform manipulator is a closed-kinematis chain robot manipulator that is capable of providing high st겨ctural rigidity and positional accuracy. However, this is a complex structure, so controllability of the system is not so good. In this paper, it introduces a new robust motion control algorithm using partial state feedback for a class of nonlinear systems in the presence of modelling uncertainties and external disturbances. The major contribution of this work introduces the development and design of robust observer for the slate and the perturbation w.hich is integrated into a variable structure controller(VSC) structure. The combination of controller/observer gives rise to the robust routine called sliding mode control with sliding perturbation observer(SMCSPO). The optimal gains of SMCSPO are easily obtained by genetic algorithm. Simulation and experiment are presented in order to apply to the stewart platform manipulator. There results show highly' accuracy and performance.

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Sliding Mode Controller with Sliding Perturbation Observer Based on Gain Optimization using Genetic Algorithm

  • You, Ki-Sung;Lee, Min-Cheol;Yoo, Wan-Suk
    • Journal of Mechanical Science and Technology
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    • v.18 no.4
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    • pp.630-639
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    • 2004
  • The Stewart platform manipulator is a closed-kinematics chain robot manipulator that is capable of providing high structural rigidity and positional accuracy. However, this is a complex and nonlinear system, so the control performance of the system is not so good. In this paper, a new robust motion control algorithm is proposed. The algorithm uses partial state feedback for a class of nonlinear systems with modeling uncertainties and external disturbances. The major contribution is the design of a robust observer for the state and the perturbation of the Stewart platform, which is combined with a variable structure controller (VSC). The combination of controller and observer provides the robust routine called sliding mode control with sliding perturbation observe. (SMCSPO). The optimal gains of SMCSPO, which is determined by nominal eigenvalues, are easily obtained by genetic algorithm. The proposed fitness function that evaluates the gain optimization is to put sliding function. The control performance of the proposed algorithm is evaluated by the simulation and experiment to apply to the Stewart platform. The results showed high accuracy and good performance.

Three-dimensional Kinematics of Knee Joint in a Complete Gait Cycle: A Comparative Study between Handball Players and Non-athletes

  • Dinesh, Paudel;Back, Jin-Ho
    • Korean Journal of Applied Biomechanics
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    • v.31 no.3
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    • pp.176-182
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    • 2021
  • Objective: The purpose of this study is to investigate whether the athletic knee show greater rotation and translation movement than non-athletic knee during the treadmill walking with their preferred speed in a complete gait cycle. Method: Thirty young and healthy male subjects participated in the study, fifteen handball players (mean age: 19.6 ± 1.4 years old, mean weight: 85 ± 11.9 Kg, mean height: 179.8 ± 4.7) and fifteen non-athletes (mean age: 22.8 ± 1.2 years old, mean weight: 74.5 ± 8.6 Kg, mean height: 175 ± 5.9). Three-dimensional positional coordinate of lower limb during treadmill walking were analyzed. Results: There were significant differences (t (22.014)=1.585, p=0.127 in the range of internal and external rotation with mean value for handball player (M=14.4513, SD=2.3839) was higher than non-athletes (M=13.3327, SD=1.337). The magnitude of the difference in the means (mean difference=1.11867, 95% CI: -0.34489 to 2.5822) was significant. There were also significant differences (t (17.956)=1.654, p=0.116 in the max abduction and adduction with mean value for handball player (M=5.7160, SD=2.49281) was higher than non-athletes (M=4.5773, SD=0.94667). The magnitude of the difference in the means (mean difference=1.138, 95% CI: -0.30805 to 2.58539) was significant. At significance level 0.05. Conclusion: Finding of this study suggest that to understand the actual characteristic of knee motion studies have to be done in different walking and running trial at variable speed.