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基于模糊算法的镗床立柱仿生优化设计

Fuzzy Algorithm Based Bionic Optimization Design of Boring Machine Column.

机构信息

School of Artificial Intelligence and Smart Manufacturing, Hechi University, Yizhou 546300, China.

出版信息

Comput Intell Neurosci. 2022 Jul 5;2022:5264781. doi: 10.1155/2022/5264781. eCollection 2022.

Abstract

A large-scale CNC boring machine would not be complete without a column. The tortoise shell is chosen as the bionic prototype, and the column structure is optimized using the bionic optimization design approach, using the column of a thg6920 boring machine as the research object. The structural similarity between the completed turtle shell and the boring machine column is 0.796, according to the fuzzy method. The structural optimization and topological optimization of the column imitating turtle shell are carried out with the ANSYS Workbench, and the bionic column model is established, and then the static analysis and modal analysis are carried out. After bionic optimization and topology optimization, the weight of the column is reduced from 87061 kg to 82107 kg, the maximum stress is reduced to 3.8637 MPa, the maximum stress is reduced by 28.9% compared with the original column, and the specific stiffness and specific strength are increased by 20.65% and 29.4%, respectively. The column structure has also achieved good optimization results in stiffness, strength, and stability.

摘要

大型数控机床如果没有立柱则是不完整的。龟壳被选为仿生原型,采用仿生优化设计方法对立柱结构进行优化,以 thg6920 镗床立柱为研究对象。根据模糊方法,完成的龟壳和镗床立柱之间的结构相似性为 0.796。使用 ANSYS Workbench 对龟壳仿形立柱进行结构优化和拓扑优化,建立仿生立柱模型,然后进行静态分析和模态分析。经过仿生优化和拓扑优化,立柱的重量从 87061 公斤减少到 82107 公斤,最大应力降低到 3.8637 兆帕,与原始立柱相比最大应力降低了 28.9%,比强度和比刚度分别提高了 20.65%和 29.4%。立柱结构在刚度、强度和稳定性方面也取得了良好的优化效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b179/9276472/4b2971a2f43e/CIN2022-5264781.001.jpg

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