LI Xin, LIU Chang-hui, DU Xiang-yong, JIANG Cheng-hong, ZHOU Zhen-feng. Lightweight Optimization Design for the Rotating Parts of Multi-Station Material Machine[J]. Mechanical Research & Application, 2025, 38(2): 81-84,87. DOI: 10.16576/j.ISSN.1007-4414.2025.02.019
Citation: LI Xin, LIU Chang-hui, DU Xiang-yong, JIANG Cheng-hong, ZHOU Zhen-feng. Lightweight Optimization Design for the Rotating Parts of Multi-Station Material Machine[J]. Mechanical Research & Application, 2025, 38(2): 81-84,87. DOI: 10.16576/j.ISSN.1007-4414.2025.02.019

Lightweight Optimization Design for the Rotating Parts of Multi-Station Material Machine

  • The multi-station feeder has a wide range of applications in automatic processing production lines and assembly lines. In view of the problem that the rotating parts of the multi-station feeder have large mass in the rotating motion, resulting in large rotational inertia, and increase in the torque required by the driving source, which in turn increases the additional cost and system power consumption, the topology analysis is used to optimize the rotating parts of the multi-station feeder in an all-round way so as to realize the lightweight optimization of the rotating parts of the multi-station feeder. Firstly, the static stress analysis of the tooling plate, the reference plate and the rotating disc in the rotating part is carried out respectively. On the basis of satisfying the conditions of static stress, the topological analysis of them is carried out respectively. Then, according to the results of topological analysis, the parts are reconstructed to carry out lightweight optimization design. Finally, the static stress analysis is carried out for the reconstructed parts. The final results show that on the basis of satisfying the static stress, the lightweight optimization design through topology analysis effectively reduces the total mass of the rotating parts by 18.5%, which can significantly reduce the rotational inertia and is of great significance for reducing the cost and system power consumption.
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