Abstract:To solve the problem of multi-pipe bundle layout in aero-engine, a pipe layout optimization method based on double-clamp constraints and improved non-dominated sorting genetic algorithm (NSGA-II) is presented. To improve the convergence and distribution of non-dominated solutions, an improved NSGA-II algorithm based on chaotic opposition-based learning and levy variation operator is proposed. To solve the assembly constraints and design coupling relationship between the pipe and the

more »

... mp, a path mode based on the double-clamp constraints is established, and the clamp and path control points are generated. Considering the layout rules of the pipe and the clamp, the simultaneous layout algorithm of the pipe and the double-clamp is designed based on the improved NSGA-II, and the position and posture parameters of the clamp and the pipe path are solved at the same time. According to the relative position of multi-pipe ports, a pipe grouping and layout sequence planning method based on cluster analysis is proposed. The pipe double-clamp layout algorithm is called to complete the multi-pipe bundle planning. In the pipe design stage, the proposed layout method considers the problem of hoop layout, and realizes the automatic planning of double-clamp layout and multi-pipe bundle layout at the same time. Finally, the effectiveness of the proposed method is verified by test functions and layout examples. Key words:aero-engine;double-clamp;multi-pipe bundle layout;clamp layout;NSGA-II * 航空发动机及燃气轮机重大专项基础研究(J2019-I-0008-0008)、国家自然 科学基金(51305192)和中央高校基本科研业务费(N2003025)资助项目。 20201120 收到初稿,20210512 收到修改稿