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Modeling of Non-ideal Variable Pitch Valve Springs for Use in Automotive Cam Optimization

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Modeling, Simulation and Optimization of Complex Processes

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Abstract

Optimal control theory has been studied for use in developing valve trains in engines to minimize vibration and wear. Previous works have concentrated on the optimization of the cam lobe profile using an ideal linear spring model for the valve spring. The ideal linear spring model cannot capture the variations in spring stiffness that occur at high speeds due to the internal spring dynamics. By using a multiple-mass lumped-parameter spring, greater accuracy may be obtained in simulation. In addition, such a model allows for the introduction of spring pitch to be included as an additional optimization parameter. In this paper, a simple multi-mass variable pitch spring model is developed to be used in valve pitch optimization as well as cam profile optimization.

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Authors and Affiliations

  1. Columbia University, MC 4703, 500 West 120th, Street, New York, NY, 10027, USA

    Henry Yau & Richard W. Longman

Authors
  1. Henry Yau
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  2. Richard W. Longman
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Correspondence to Henry Yau .

Editor information

Editors and Affiliations

  1. Interdisziplinäres Zentrum für, Wissenschaftliches Rechnen (IWR), Universität Heidelberg, Im Neuenheimer Feld 368, Heidelberg, 69120, Germany

    Hans Georg Bock

  2. and Technology (VAST), Institute of Mathematics, Vietnamese Academy of Science, Hoang Quoc Viet Road, Hanoi, 10307, Vietnam

    Xuan Phu Hoang

  3. , Interdisciplinary Center for, University of Heidelberg, Im Neuenheimer Feld 368, Heidelberg, 69120, Germany

    Rolf Rannacher

  4. , Interdisciplinary Center for, University of Heidelberg, Im Neuenheimer Feld 368, Heidelberg, 69120, Germany

    Johannes P. Schlöder

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© 2012 Springer-Verlag Berlin Heidelberg

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Yau, H., Longman, R.W. (2012). Modeling of Non-ideal Variable Pitch Valve Springs for Use in Automotive Cam Optimization. In: Bock, H., Hoang, X., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25707-0_27

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