• Title/Summary/Keyword: 10-link Planar Linkage

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Optimal Synthesis of Steering Mechanisms Considering Transmission Angles (전달각을 고려한 조향기구의 최적합성)

  • Park, Jong-Keun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.1
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    • pp.68-75
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    • 2012
  • In this study, the optimal synthesis of planar steering mechanisms for vehicles is studied. The author minimized the steering error between two front wheels subject to the constraints of transmission angles. Nonlinear programming methods such as BFGS method and golden section search method are used for this optimization. As numerical examples, Ackermann's steering mechanism, 6-link and 10-link planar mechanism are adopted to check the usefulness of this method. Consequently, among the three optimized mechanisms, 10-link planar one conducts far more accurate performance subject to tight constraints of transmission angles.

Velocity and Acceleration Error Analysis of Planar Mechanism Due to Tolerances (기계시스템의 공차에 의한 속도 및 가속도 오차의 해석)

  • 이세정
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.2
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    • pp.351-358
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    • 1994
  • A probabilistic model and analysis methods to determine the means and variances of the velocity and acceleration in stochastically-defined planar pin jointed kinematic chains are presented. The presented model considers the effect of tolerances on link length and radial clearance and uncertainty of pin location as a net effect on the link's effective length. The determination of the mean values and variances of the output variables requires the calculation of sensitivities of secondary variables with respect to the random variables. It is shown that this computation is straightforward and can be accomplished by a conventional kinematic analysis package with minor modification. Thus, the concepts of tolerance and clearance have been captured by the model and analysis. The only input data are the nominal linkage model and statistical information. The "effective link length" model is shown to be applicable to both analytical solution and Monte Carlo simulation. The results from both methods are compared. This paper Ksolves the higher-order kinematic problems for the probabilistic design analysis of stochastically-defined mechanisms.echanisms.