Indexed by:会议论文

Date of Publication:2005-10-26

Included Journals:EI、CPCI-S

Volume:137

Page Number:505-+

Key Words:topology optimization; feature-based; topological derivative; R-function; implicit representation; shape matching

Abstract:Feature-based modeling has been widely studied in Computer Aided Design (CAD) and greatly facilitates mechanical design and manufacture. This paper incorporates the standard technology into topology optimization, and develops a feature-based structural topology optimization method. The method employs implicit models or level set models to represent complex structural boundaries; adopts R-function theory to handle set-theoretic operations; applies topological derivative analysis to determine the insertion position of geometric primitives; uses morphing technology and sensitivity analysis to choose the geometric primitives; employs the shape matching to merge the given geometric primitives for the further simplification of the final design.