Shape optimization of herringbone textures for minimization of the friction coefficient

DOI
  • Arata Hiroaki
    Mechanical Engineering, Master’s Program, Graduate School of Engineering, Nagaoka University of Technology
  • Kishida Masayuki
    Science of Technology Innovation, 5-year Integrated Doctoral Program, Graduate School of Engineering, Nagaoka University of Technology
  • Kurahashi Takahiko
    Department of Mechanical Engineering, Institute of GIGAKU, Nagaoka University of Technology
  • Iyama Tetsuro
    Department of Mechanical Engineering，National Institute of Technology，Nagaoka College

Bibliographic Information

Other Title
  • 摩擦抵抗の低減を目的としたへリングボーンテクスチャの形状最適化
  • Numerical experiments by changing magnitude of sliding velocity
  • 摺動速度変更モデルに対する数値実験

Abstract

In this study, we present numerical results of texture shape optimization analysis for minimization of the friction coefficient. The Reynolds equation is introduced as the governing equation and discretized in space by the finite element method. The performance function is defined by the friction force. The objective of this study is to find the distribution of the oil film thickness in the textured part i.e., the design variables, in order to minimize the performance function. Here, the adjoint variable method is introduced to replace the constrained optimization problem with an unconstrained optimization problem, and the Lagrange function is derived. The traction method is introduced to obtain the soothed gradient distribution, and the shape update is carried out by using the smoothed gradient. In this study, shape optimization analysis of oil film thickness was performed for a herringbone texture model. Numerical experiments were also conducted for different sliding speeds. In addition, the results are compared with the results of shape optimization of oil film thickness for circular texture by Sasaoka et al2).

Journal

Keywords

Details 詳細情報について

  • CRID
    1390014735381546368
  • DOI
    10.24806/rrnitnc.58.0_1
  • ISSN
    24323241
    00277568
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Allowed

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