| PLY OPTIMIZATION OF BACKREST SKELETON OF CARBON FIBER
REINFORCED PLASTIC CAR SEAT BASED ON GREY EUCLIDEAN
RELATIONAL ANALYSIS METHOD |
| Yaoqing Liao 1, Wei Zheng 1, Jiangqi Long 2, Xigui Xie 1, Jun Hu 1 |
1Zhejiang College of Security Technology
2Wenzhou University |
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| ABSTRACT |
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In this paper, an improved grey Euclidean relational analysis method based on Euclidean distance was proposed,
which was based on the traditional grey relational analysis method. This method was applied to the material-structure integrated
design of the backrest skeleton of a car seat. Firstly, the steel backrest skeleton of a car seat was replaced by carbon fiber
reinforced plastics (CFRP), and the backrest skeleton was designed as an integrated structure. Its weight was reduced by 1.69
kg (39.12 %) while still meeting various seat performance test requirements. Then, the effect of the ply design on the
performance of car seats with CFRP was studied, and the optimal layer scheme of CFRP backrest skeleton of car seats was
obtained by combining the grey Euclidean relational analysis method. Finally, the method proposed in this paper was compared
with the widely used method. The results showed that the optimization schemes obtained by the two methods greatly improved
performance indicators, especially L_R_2 which had an improvement rate of 13.31 %. Additionally, the proposed method
reduced computing resources by 95 %, indicating its ability to effectively balance optimization results and calculation efficiency. |
| Key Words:
Grey Euclidean relational analysis method, CFRP, Ply optimization, Car seat |
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Corresponding Author.
Jiangqi Long , Email. 
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