Novel Bionic Design Method for Skeleton Structures Based on Load Path Analysis

Biological structures have excellent mechanical performances including lightweight, high stiffness, etc. However, these are difficult to apply directly to some given complex structures, such as automobile frame, control arm, etc. In this study, a novel bionic design method for skeleton structures wi...

Full description

Saved in:
Bibliographic Details
Published inApplied sciences Vol. 10; no. 22; p. 8251
Main Authors Wang, Zhaohua, Wu, Nan, Wang, Qingguo, Li, Yongxin, Yang, Quanwei, Wu, Fenghe
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2020
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Biological structures have excellent mechanical performances including lightweight, high stiffness, etc. However, these are difficult to apply directly to some given complex structures, such as automobile frame, control arm, etc. In this study, a novel bionic design method for skeleton structures with complex features is proposed by the bio-inspired idea of “main-branch and sub-branch”. The envelope model of a given part is established by analyzing the structural functions and working conditions, and the load path is extracted by the load-transferred law as the structural main-branch. Then, the selection criterion of bionic prototype is established from three aspects: load similarity, structural similarity and manufacturability. The cross-sections with high similarities are selected as the structural sub-branch. Finally, the multi-objective size optimization is carried out and a new model is established. The bionic design of a control arm is carried out by the method: structural main-branch is obtained by the load path analysis and structural sub-branch is occupied by the fish-bone structure. The design result shows that the structural stiffness is increased by 62.3%, while the weight is reduced by 24.75%. The method can also be used for other fields including automobile, aerospace and civil engineering.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10228251