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OPTIMIZATION OF DESIGN PARAMETERS FOR A FIBER-WOUND PRESSURE VESSEL WITH A STABLE STRENGTH RATIO BASED ON THE HYBRID METHOD OF PARTICLE SWARM OPTIMIZATION AND GREY WOLF OPTIMIZATION

  • Zan Liu,
  • Meijing Zhong,
  • Shuang Ye,
  • Chunjin Li,
  • Chao Kang,
  • Bo Deng

摘要

Abstract

This study is aimed at optimizing the design parameters (winding angle, fiber volume fraction, elasticity modulus of fibers, and radius-thickness ratio) of the fiber-wound pressure vessel for achieving a stable strength ratio based on a hybrid method of Particle Swarm Optimization and Grey Wolf Optimization (HPSOGWO). A three-dimensional linear elasticity theory is used to solve the problem numerically.