Research on multi-strategy collaborative optimization of gear grinding machine worktable based on topological optimization and structural bionic design

Abstract This paper takes the worktable of a gear grinding machine as the research object, aiming to enhance its static and dynamic performance as well as the lightweight level. By integrating a multi-strategy collaborative optimization method combining topological optimization and structural bionic optimization, the performance improvement and structural optimization of the worktable are achieved. First, the finite element analysis is used to evaluate the static and dynamic characteristics of the prototype worktable. It is found that while meeting the design requirements, there are problems of material redundancy and structural conservatism. Subsequently, the topological optimization method is adopted. On the premise of ensuring structural performance, the mass of the worktable is significantly reduced and the stiffness is increased. Furthermore, by combining the bionic design principle of the vein structure of the Victoria lotus leaf, the layout of the rib plates of the worktable is optimized, and its static and dynamic performance is further improved. The optimization results show that the maximum deformation of the new-type worktable is significantly reduced by 27.31%, the mass is reduced by 18.96%, and the first-order natural frequency is increased by 1.86%, which significantly improves the overall design level of the gear grinding machine. This research focuses on the application effect, providing theoretical support and practical reference for the performance optimization of similar worktables, and has important engineering application value.