注塑短纤维增强复合材料汽车尾门内板轻量化设计  被引量:7

Lightweight Design of Vehicle Tail-door Inner Panel Made of Injection Molded Short Fiber Reinforced Polymer Composite

在线阅读下载全文

作  者:李泽阳 刘钊 朱平[1] Li Zeyang;Liu Zhao;Zhu Ping(Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration,Shanghai 200240;School of Design,Shanghai Jiao Tong University,Shanghai 200240)

机构地区:[1]上海交通大学,机械系统与振动国家重点实验室,上海200240 [2]上海交通大学设计学院,上海200240

出  处:《汽车工程》2022年第5期789-797,共9页Automotive Engineering

基  金:国家自然科学基金重点项目(U1864211);国家自然科学基金面上项目(11772191)资助。

摘  要:本文中针对短纤维增强复合材料汽车尾门内板,提出一种包含材料-结构并行优化的轻量化设计流程。考虑纤维分层分布特点建立材料分层模型,在此基础上提出材料参数化本构模型,在改变材料参数时可快速预测其力学性能;根据纤维取向的分布特征,提出材料参数提取和映射方法,有效提升结构分析精度;考虑材料和结构设计变量,结合Kriging代理模型和基于边界搜索的改进粒子群优化算法,提出复合材料汽车尾门内板轻量化设计流程。最终结果,在保证多工况设计要求的同时,实现了材料和结构参数的并行优化,取得减质量10.5%的轻量化效果。In this paper,a lightweight design procedure including the parallel optimization of material and structure is proposed for the inner panel of tail door made of injection-molded short-fiber-reinforced polymer composite in a car. A layered material model is built with consideration of the layered distribution feature of short fiber,on the basis of which a parameterized constitutive model for material is put forward to rapidly predict its mechanical performance when its parameters are changed. An extraction and mapping method for material parameters is proposed according to the distribution features of fiber orientation,so effectively enhancing the accuracy of structural analysis. Considering the design variables of material and structure,combined with Kriging surrogate model and boundary-searching based improved particle swarm optimization algorithm,a lightweight design procedure for composite tail door inner panel is proposed. As a final result,the parallel optimization of material and structure is fulfilled while assuring the design requirements for various working conditions with a lightweighting result of 10.5%mass reduction achieved.

关 键 词:车辆 尾门内板 注塑短纤维增强复合材料 参数化本构模型 并行优化 轻量化设计 

分 类 号:U463.834[机械工程—车辆工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象