• Title/Summary/Keyword: train speed profile

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Friction Characteristics of piston Skirt Parametric Investigation

  • Cho, Myung-Rae;Kim, Jee-Woon;Moon, Tae-Sun;Han, Dong-Chul
    • KSTLE International Journal
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    • v.3 no.1
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    • pp.1-6
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    • 2002
  • The purpose of this paper is to investigate the effects of design parameters on the friction loss in piston skirt. An analytical model to describe the friction characteristics of piston skirt has been presented, which is based on the secondary motion of piston and mixed lubrication theory, It could be shown that the skirt friction closely depends on the side force acted on the piston pin. The side force is inf1uenced by cylinder pressure at low engine speed, but by inertia force at high engine speed. The usage of extensive skirt area and low weight piston is effective to reduce the friction loss at high speed. The low viscosity oil considerably decreases viscous friction as engine speed increases, but it increases boundary friction at low engine speed. From the parametric study, it is found that the skirt axial profile is the most important design parameter related to the reduction of skirt friction.

Development of the Multi-Gear Train Devices of Synchro System for the Guns of a Warship which Considered the Noise/Vibration (소음/진동을 고려한 함포용 Synchro System의 다단 기어 구동장치 개발)

  • Lee, Hyoung-Woo;Hur, Nam-Soo;Kim, In-Hwan;Lee, Dong-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.8
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    • pp.1057-1067
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    • 2010
  • Vibration and noise analysis as well as strength of gear teeth, gear profile design are considered in order to develop the multi-gear train devices of synchro system for the guns of a warship. A new approach to the critical speed calculation of practical industrial multi-mesh geared system is presented. A transfer matrix model based on Hibner's branch method is developed and the natural properties of the branched rotor system are calculated with using the ${\lambda}$-matrix formulation. A Campbell diagram, in which the excitation sources caused by the mass unbalance of the rotors and the transmitted errors of the gearing are considered, shows that, at theoperating speed, there are not the critical speed.

Aerodynamic Load Analysis at Hub and Drive Train for 1MW HAWT Blade (1MW급 풍력 터빈 블레이드의 허브 및 드라이브 트레인 공력 하중 해석)

  • Cho Bong-Hyun;Lee Chang-Su;Choi Sung-Ok;Ryu Ki-Wahn
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.25-32
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    • 2005
  • The aerodynamic loads at the blade hub and the drive shaft for 1MW horizontal axis wind turbine are calculated numerically. The geometric shape of the blade such as chord length and twist angle can be obtained fran the aerodynamic optimization procedure. Various airfoil data, that is thick airfoils at hub side and thin airfoils at tip side, are distributed along the spanwise direction of the rotor blade. Under the wind data fulfilling design load cases based on the IEC61400-1, all of the shear forces, bending moments at the hub and the low speed shaft of the drive train are obtained by using the FAST code. It shows that shear forces and bending moments have a periodic. trend. These oscillating aerodynamic loads will lead to the fatigue problem at both of the hub and drive train From the load analysis the maximum shear forces and bending moments are generated when wind turbine generator system operates in the case of the extreme speed wind condition.

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Energy Efficient Electric Vehicle Driving Optimization Method Satisfying Driving Time Constraint (제한 주행시간을 만족하는 에너지 효율적인 전기자동차 주행 최적화 기법)

  • Baek, Donkyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.39-47
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    • 2020
  • This paper introduces a novel system-level framework that derives energy efficient electric vehicle (EV) driving speed profile to extend EV driving range without additional cost. This paper first implements an EV power train model considering forces acting on a driving vehicle and motor efficiency. Then, it derivate the minimum-energy driving speed profile for a given driving mission defined by the route. This framework first formulates an optimization problem and uses the dynamic programming algorithm with a weighting factor to derive a speed profile minimizing both of energy consumption and driving time. This paper introduces various weighting factor tracking methods to satisfy the driving time constraint. Simulation results show that runtime of the proposed scaling algorithm is 34% and 50% smaller than those of the binary search algorithm and greedy algorithm, respectively.

CFD Analysis of Drag Force on leading Cab of Tilting Train with 180km/h Service Speed (수치해석을 통한 180km/h급 틸팅차량 전두부의 주행 공기저항 해석)

  • Ko Taehwan;Song Younsoo;Han Seung-Ho
    • Proceedings of the KSR Conference
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    • 2003.10c
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    • pp.351-357
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    • 2003
  • The optimal design for a leading car considering the aerodynamic resistance is required on the high-speed train due to increasing of ratio of drag force with proportion for the square of velocity. The aerodynamic analysis using CFD in the stage of concept design offers more economical analysis method which is used to estimate the influence of flow and pressure around the leading car than the experimental method using the Mock-up. In this study, we want to assist the artistic design with aerodynamics analysis in order to get the optimal design for leading car with the operation speed at 180km/h. The results of aerodynamic analysis for two leading car models which one is expressed with lineal beauty and the other is with curvaceous beauty are compared with each other and they offer the proposal of modification for two models in order to decrease the drag force. The shape of curvaceous model is better for the pressure force but slightly worse for the viscous force than the other. The Fluent software is used for the calculation of flow profile in this study.

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Speed Detection of MAGLEV (자기부상열차의 속도검출)

  • Park, S.H.;Ham, S.Y.;Park, J.S.;Yoon, Y.W.;Ahn, S.K.;Park, C.I.;Kim, Y.M.
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.431-433
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    • 1996
  • In MAGLEV system, the train detection can be achieved by using cross inductive radio lines and antennas, because it is impossible to obtain the short circuit between rail and iron-wheel. In this paper, the experimental results of speed profile which is held on MAGLEV at KIMM are presented. We could obtain the successful experimental results for the speed pulses by the inductive radio lines.

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Kinematic Analysis of a Continuously Variable Valve Actuation Mechanism with Movable Second Cam Center (2차 캠 중심 이동형 연속가변밸브 구동기구의 기구학 해석)

  • Kim, Do-Joong;Kim, Yong-Hyun
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.5
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    • pp.7-15
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    • 2009
  • This paper introduces a new variable valve actuation mechanism with movable second cam center. Valve lift and open duration can be continuously varied according to engine speed and load conditions. A new method to analyze the kinematic relations between the first and second cam profiles and valve motion are also introduced. Because of rocker motion of the second cam, conventional motion conversion program could not be used in this problem. An example shows continuous variations of valve motion and adequate ramp incorporation throughout all valve lift modes. Valve acceleration profile at the high lift mode is similar to that of conventional valvetrains. Contact geometry analysis of the mechanism gives basic information on the load conditions between the components.

Design and Implementation of ATO On-board Software Using UML Modeling Tool (UML 모델링 도구를 이용한 ATO 차상 소프트웨어의 설계 및 구현)

  • Yoon, Yeong-Hwan;Bang, Yung;Um, Jung-Kyou;Cho, Yong-Gi
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.384-389
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    • 2008
  • In this paper, we propose a UML modeling of ATO on-board software. An automatic train operation (ATO) system is a real-time control system, which operates a train without a manual operation by a driver. For the safe and comfortable service, real-time embedded software for ATO on-board equipment should have both of high performance and reliability. UML-based object-oriented modeling technique is introduced and used widely to design software that satisfies this requirement. We used Rhapsody, which is a modeling tool for real-time embedded software, to model the construction and the behavior of ATO on-board equipment. As a result, ATO on-board software which performs the profile calculation and the real-time speed control is designed and implemented. The brief modeling result including behavioral characteristics and the simulation results are presented.

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Analysis of Drag Force on Leading car using CFD (수치해석을 통한 철도차량 전두부의 공기저항 해석)

  • Ko T. H.;Kim J. S.;Goo D. H.
    • 한국전산유체공학회:학술대회논문집
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    • 2003.08a
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    • pp.132-138
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    • 2003
  • The optimal design for a leading car considering the aerodynamic resistance is required on the high-speed train due to increasing of ratio of drag force with proportion for the square of velocity. The aerodynamic analysis using CFD in the stage of concept design offers more economical analysis method which is used to estimate the influence of flow and pressure around the leading car than the experimental method using the Mock-up. In this study, we want to assist the artistic design with aerodynamics analysis in order to get the optimal design for leading car with the operation speed of 180km/h. The results of aerodynamic analysis for two leading car models which one is expressed with lineal beauty and the other is with curvaceous beauty are compared with each other and they offer the proposal of modification for two models in order to decrease the drag force. The shape of curvaceous model is better for the pressure force but slightly worse for the viscous force than the other. The Fluent software is used for the calculation of flow profile in this study.

  • PDF

Development of Power Distribution Control Strategy for Plug-in Hybrid Electric Vehicle using Neural Network (인공신경망을 이용한 플러그인 하이브리드 차량의 동력분배제어전략 개발)

  • Sim, K.H.;Lee, S.J.;Lee, J.S.;Namkoong, C.;Han, K.S.;Hwang, S.H.
    • Journal of Drive and Control
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    • v.12 no.3
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    • pp.18-24
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    • 2015
  • The plug-in hybrid electric vehicle has a high fuel economy and can be driven long distances. Its different modes include the electric vehicle, hybrid electric vehicle, and only engine operating mode. A power management strategy is important to determine which mode should be selected. The strategy makes the vehicle more efficient using appropriate power sources for driving. However, the strategy usually needs a driving speed profile which is future driving cycle. If the profile is known, the strategy easily determines which mode is driven efficiently. However, it is difficult to estimate the speed profile for a real system. To address this problem, this paper proposes a new power distribution strategy using a neural network. The average speed and driving range are used as input parameters to train the neural network system. The strategy determines a limit for the use of the battery and the desired power is distributed between the engine and the motor simultaneously. Its fuel economy can increase by improving the basic strategy.