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Topology optimization for rarefied gas flow problems using density method and adjoint DSMC

##article.authors##

  • Kaiwen Guan Graduate School of Engineering, The University of Tokyo
  • Yuki Noguchi Graduate School of Engineering, The University of Tokyo
  • Kei Matsushima Graduate School of Engineering, The University of Tokyo
  • Takayuki Yamada Graduate School of Engineering, The University of Tokyo

DOI:

https://doi.org/10.51094/jxiv.98

キーワード:

Topology optimization、 Rarefied gas flow、 Direct simulation Monte Carlo method、 Density method、 Adjoint equations、 Sensitivity analysis

抄録

In this paper, a topology optimization method based on direct simulation Monte Carlo (DSMC) is presented for rarefied gas flows. Distribution of fluid and solid in the design domain is characterized by a pseudo density. The traditional DSMC algorithm is extended to include the pseudo density by interpreting solid as an imaginary gas with fixed temperature and zero macroscopic velocity. Treating the pseudo density as the design variable, design sensitivity is obtained through the Lagrangian multiplier method and the adjoint state method. A discrete version of the adjoint equations is used, so that the adjoint variables can be evaluated using the information stored during the forward DSMC process. The information preservation (IP) method for subsonic flow is also considered in order to reduce random noise and simplify the discrete adjoint equations. The extended DSMC algorithm is verified by numerical examples, and optimized design for bent pipe is also included.

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投稿日時: 2022-06-20 07:01:28 UTC

公開日時: 2022-06-21 08:27:13 UTC
研究分野
機械工学