• Title/Summary/Keyword: particle kinematic

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Swarm Intelligence-based Optimal Design for Selecting the Kinematic Parameters of a Manipulator According to the Desired Task Space Trajectory (요청한 작업 경로에 따른 매니퓰레이터의 기구학적 변수 선정을 위한 군집 지능 기반 최적 설계)

  • Lee, Joonwoo
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.6
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    • pp.504-510
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    • 2016
  • Robots are widely utilized in many fields, and various demands need customized robots. This study proposes an optimal design method based on swarm intelligence for selecting the kinematic parameter of a manipulator according to the task space trajectory desired by the user. The optimal design method is dealt with herein as an optimization problem. This study is based on swarm intelligence-based optimization algorithms (i.e., ant colony optimization (ACO) and particle swarm optimization algorithms) to determine the optimal kinematic parameters of the manipulator. The former is used to select the optimal kinematic parameter values, whereas the latter is utilized to solve the inverse kinematic problem when the ACO determines the parameter values. This study solves a design problem with the PUMA 560 when the desired task space trajectory is given and discusses its results in the simulation part to verify the performance of the proposed design.

Drag Reduction Induced by Increased Kinematic Viscosity of Nanofluids Containing Carbon Nanotubes in A Horizontal Tube (카본나노튜브 나노유체의 동점성계수 증가로 인한 관내 유동에서의 항력 감소)

  • Yu, Jiwon;Jung, Se Kwon;Choi, Mansoo
    • Particle and aerosol research
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    • v.9 no.4
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    • pp.271-277
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    • 2013
  • This article reports the drag reduction phenomenon of aqueous suspensions containing carbon nanotubes (CNTs) flowing through horizontal tubes. Stable nanofluids were prepared by using a surfactant. It is found that the drag forces of CNT nanofluids were reduced at specific flow conditions compared to the base fluid. It is found that the friction factor of CNT nanofluids was reduced up to approximately 30 % by using CNT nanofluids. Increased kinematic viscosities of CNT nanofluids are suggested to the key factors that cause the drag reduction phenomenon. In addition, transition from laminar to turbulent flow is observed to be delayed when CNT nanofluids flow in a horizontal tube, meaning that drag reduction occurs at higher flow rates, that is, at higher Reynolds numbers.

Effects of DME Additives on Combustion Characteristics and Nano-particle Distributions in a Single Cylinder Compression Ignition Engine (DME 연료에 첨가제를 혼합하였을 때의 연소 특성 및 배출가스 특성에 관한 연구)

  • Kwon, Seok-Joo;Cha, June-Pyo;Kang, Min-Gu;Lee, Chang-Sik;Park, Sung-Wook;Lim, Young-Kwan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.20 no.5
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    • pp.19-25
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    • 2012
  • This study describes effects of DME additives on combustion and exhaust emissions characteristics including nano-particle in a single cylinder compression ignition engine. Considered additives include bio-diesel, n-butanol, and MTBE for increasing kinematic viscosity. Among three additives, n-butanol showed the greatest kinematic viscosity. In addition MTBE showed the highest vapor pressure. In the present study mixing ratios of additives were kept constant at 1 and 10% by volume. Experiments were performed at 1200rpm engine speed and nano-particles were measured by SMPS (Scanning mobility particle sizer) devices. Results of combustion characteristics showed that considered additives had little effects on combustion pressure. However, patterns of heat release rate were dependent on properties of additives. Nano-particles of MTBE were the lowest among considered additives.

An Study on Particle Filter based Object Tracking for Robot Vision (로봇 비젼을 위한 파티클 필터에 기초한 물체 추적 기법 연구)

  • Park, Jung-Hoon;Park, Jin-Bae;Yoon, Tae-Sung
    • Proceedings of the KIEE Conference
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    • 2004.07d
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    • pp.2444-2446
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    • 2004
  • 로봇 매니퓰레이터를 제어하기 위해서는 로봇의 Forward/Reverse Kinematics를 정확히 알아야 하고, 이를 바탕으로 각 목적에 맞는 로봇 매니퓰레이터의 설계가 이루어진다. 만약 이 매니퓰레이터에 카메라가 장치되어 어떤 물체를 추적해야 한다면, 매니퓰레이터의 Kinematics와 카메라의 컨트롤이 적절하게 조합되어 물체 추적을 행하게 된다. 본 논문에서는 Particle Filter의 큰 주류인 SISR 방법을 소개하고, 이 방법을 화상카메라에 적용하여 움직이는 물체를 추적하는 연구를 수행하려한다.

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Flow Field Analysis of Smoke in a Rectangular Tunnel

  • Lee, Yong-Ho;Park, Sang-Kyoo
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.5
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    • pp.679-685
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    • 2009
  • In order to simulate a smoke or poisonous gas emergency in a rectangular tunnel and to investigate a better way to exhaust the smoke, the characteristics of smoke flow have been analyzed using flow field data acquired by Particle Image Velocimetry(PIV). Olive oil has been used as tracer particles with the kinematic viscosity of air, $1.51{\times}10^{-5}\;m^2/s$. The investigation has done in the range of Reynolds number of 1600 to 5333 due to the inlet velocities of 0.3 m/s to 1 m/s respectively. The average velocity vector and instantaneous kinematic energy fields with respect to the three different Reynolds numbers are comparatively discussed by the Flow Manager. In general, the smoke flow becomes more disorderly and turbulent with the increase of Reynolds number. Kinematic energy in the measured region increases with the increase of Reynolds number while decreasing at the leeward direction about the outlet region.

Design of Leg Length for a Legged Walking Robot Based on Theo Jansen Using PSO (PSO를 이용한 테오얀센 기반의 보행로봇 다리설계)

  • Kim, Sun-Wook;Kim, Dong-Hun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.5
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    • pp.660-666
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    • 2011
  • In this paper, we proposed a Particle Swarm Optimization(PSO) to search the optimal link lengths for legged walking robot. In order to apply the PSO algorithm for the proposed, its walking robot kinematic analysis is needed. A crab robot based on four-bar linkage mechanism and Jansen mechanism is implemented in H/W. For the performance index of PSO, the stride length of the legged walking robot is defined, based on the propose kinematic analysis. Comparative simulation results present to illustrate the viability and effectiveness of the proposed method.

Research on Wave Kinematics & Wave Loads in Breaking Wave (쇄파의 유동구조 및 쇄파력에 대한 연구)

  • LEE BYEONG-SEONG;JO HYO-JAE;GOO JA-SAM;KANG BYUNG-YOON
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2004.11a
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    • pp.96-101
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    • 2004
  • When the wind blows hard, most waves are breaking in sea. Breaking waves occur, exceeding limitation of wave steepness(wave height/wave length=l/7). Because a wave of single angular frequency couldn't generate the breaking phenomena at two dimensional ocean engineering basin, the breaking wave can be generated by the superposition of waves with various angular frequencies. We research how are the particle kinematics in the breaking wave and the magnitude of the breaking wave exciting force. We compare the force in a regular wave which has same specifications(wave height, period and length) as the breaking wave. Also the experimental results of wave exciting force and particle velocity are investigated by comparison on the analytic results using the potential theory.

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Magnetic and kinematic characteristics of very fast CMEs

  • Jang, Soojeong;Moon, Yong-Jae;Lim, Daye;Lee, Jae-Ok;Lee, Harim;Park, Eunsu
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.54.2-54.2
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    • 2018
  • It is important to understand very fast CMEs which are the main cause of geomagnetic storms and solar particle events (SPEs). During this solar cycle 24, there are 10 very fast CMEs whose speeds are over 2000 km/s. Among these, there were only two fronside events (2012 January 23 and 2012 March 7) and they are associated with two major flares (M8.7 and X5.4) and the most strong SPEs (6310 pfu and 6530 pfu). They have a similar characteristics: there were successive CMEs within 2 hours in the same active region. We analyze their magnetic properties using SDO HMI magnetograms and kinematic ones from STEREO EUVI/COR1/COR2 observations. We can measure their speeds and initial accelerations without projection effects because their source locations are almost the limb. Additionally, we are investigating magnetic and kinematic characteristics of 8 backside events using AI-generated magnetograms constructed by deep learning methods.

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On the Design of the Latch Mechanism for Wafer Containers in a SMIF Environment

  • Lee, Jyh-Jone;Chen, Dar-Zen;Pai, Wei-Ming;Wu, Tzong-Ming
    • Journal of Mechanical Science and Technology
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    • v.20 no.12
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    • pp.2025-2033
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    • 2006
  • This paper presents, the design of a latch mechanism for wafer containers in a standard mechanical interface environment. For an integrated circuits fabrication factory, the standard mechanical interfaced wafer container is an effective tool to prevent wafers from particle contamination during wafer storage, transporting or transferring. The latch mechanism inside the container door is used to latch and further seal the wafer container for safety and air quality. Kinematic characteristics of the mechanism are established by analyzing the required functions of the mechanisms. Based on these characteristics, a methodology for enumerating feasible latch mechanisms is developed. New mechanisms with one degree-of-freedom and up to five links are generated. An optimum design is also identified with respect to the criteria pertinent to the application. The computer-aided simulation is also built to verify the design.

Posture Optimization for a Humanoid Robot using Particle Swarm Optimization (PSO를 이용한 휴머노이드 로봇의 최적자세 생성)

  • Yun, JaeHum;Chien, Dang Van;Tin, Tran Trung;Kim, Jong-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.4
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    • pp.450-456
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    • 2014
  • Humanoid robot is the most suitable robot platform for effective human and robot interaction. However, the robot's complicated body structure containing more than twenty joint actuators makes it difficult to generate stable and elaborate postures using the conventional inverse kinematic method. This paper proposes an alternative approach to generate difficult postures of touching an object placed in front of the foot by the left or right hand with its torso bent forward in single support phase using the fast computational optimization method, particle swarm optimization. The simulated postures are also applied to a commercial humanoid robot platform, which validates the feasibility of the proposed approach.