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"기구학 해석"

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"기구학 해석"

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An Automated Tracking System of Fine Dust Generating Spot for Building Dismantlement Sites
Seolha Kim, Minji Kim, Heeyun Jung, Baeksuk Chu
J. Korean Soc. Precis. Eng. 2019;36(4):383-389.
Published online April 1, 2019
DOI: https://doi.org/10.7736/KSPE.2019.36.4.383
Water spraying work to prevent the dust from scattering during building dismantling operation has usually been done manually. Since it is very risky and often causes fatal accidents due to unexpected collapse, a few countries have adopted mechanical water spaying machines. However, these machines are still operated by human laborer, specifically in orienting the spraying direction, which induces low dust suppression efficiency. In this research, an automated fine dust tracking system was suggested to identify and track the dust generating position accurately. A GPS is installed on the secured body of the excavator which contains a crusher as an end-effector for building dismantlement. Assuming the position of the crusher is the dust generating spot, a forward kinematics analysis is performed to identify the crusher position from the body origin on which the GPS sensor is placed. With another GPS on the water-spraying robot, its relative position to the dust generating spot and its heading angle for tracking can be calculated consequently. Tracking experiments were conducted with a miniature excavator and a reduced size water spraying robot. The results showed a sufficient tracking performance enough to be applied to the water spaying machines.

Citations

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  • Autonomous Fine Dust Source Tracking System of the Water Spray Robot for High-rise Building Demolition
    Hyeongyeong Jeong, Hyunbin Park, Jaemin Shin, Hyeonjae Jeong, Baeksuk Chu
    Journal of the Korean Society for Precision Engineering.2023; 40(9): 695.     CrossRef
  • Motion Trajectory Planning and Design of Material Spraying Service Robot
    Gang Wang, Hongyuan Wen, Jun Feng, Jun Zhou, Haichang Zhang
    Advances in Materials Science and Engineering.2022; 2022: 1.     CrossRef
  • Excavator Posture Estimation and Position Tracking System Based on Kinematics and Sensor Network to Control Mist-Spraying Robot
    Sangwoong Lee, Hyunbin Park, Baeksuk Chu
    IEEE Access.2022; 10: 107949.     CrossRef
  • Optimal Design and Verification of a Water Spraying Robot for Dust Suppression
    Seolha Kim, Baeksuk Chu
    Journal of the Korean Society for Precision Engineering.2020; 37(10): 729.     CrossRef
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Estimation of Kinematics and Loop Stiffness for Multi-Axis Machine Tool
Sungcheul Lee, Jooho Hwang, Chun-Hong Park
J. Korean Soc. Precis. Eng. 2018;35(5):537-543.
Published online May 1, 2018
DOI: https://doi.org/10.7736/KSPE.2018.35.5.537
Various types of 5-axis machine tools have been developed. In the case of a machine tool composed from linear motion, the kinematic equation can be obtained easily and intuitively. However, machine tools with more than four axes, including rotating axes, have generally performed kinematic and dynamic performance analyses using mathematical methods. In this paper, the kinematic equations of various types of machine tools are obtained, based on the Homogeneous Transformation Matrix method. The loop stiffness was then calculated as a mathematical model. A mathematical model of loop stiffness was verified by using a method to calculate the loop stiffness of a commercial program. The results of the mathematical model showed less than a 1% error with the commercial program, and this could show the validity of the mathematical model. Then, this model was applied to two types of machine tools. The minimum loop stiffness of both models is compared.

Citations

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  • Research and development of multi-axis CNC abrasive belt-grinding machine postprocessor
    Hu Qiao, Zhenxing Wei, Ruixiang Deng, Tianhang Xu, Ying Xiang
    The International Journal of Advanced Manufacturing Technology.2023; 126(7-8): 3109.     CrossRef
  • Control of Multi-axis High-speed Processing Machines for Machining Large Workpieces
    Yun-hyeok Jang, Gab-Soon Kim
    Journal of the Korean Society of Manufacturing Process Engineers.2023; 22(9): 15.     CrossRef
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