基于Hill'48与Hill'90屈服模型的汽车后背门内板成形性比较研究  被引量:8

Comparative research on formability of inner panel of automobile rear door based on Hill'48 and Hill'90 yield models

在线阅读下载全文

作  者:项志伟 王成勇[1] 吴进[1] 盛小涛 叶鹏飞 陈锦洪 XIANG Zhi-wei;WANG Cheng-yong;WU Jin;SHENG Xiao-tao;YE Peng-fei;CHEN Jin-hong(School of Materials Science and Engineering,Hefei University of Technology,Hefei 230009,China)

机构地区:[1]合肥工业大学材料科学与工程学院,安徽合肥230009

出  处:《塑性工程学报》2020年第3期10-15,共6页Journal of Plasticity Engineering

基  金:国家自然科学基金资助项目(51275146)。

摘  要:以烘烤硬化钢H220BD制汽车后背门内板为研究对象,基于Hill'48与Hill'90屈服模型,建立了H220BD制件的有限元仿真模型,分别运用两种屈服准则对汽车后背门内板进行冲压仿真模拟。并以Argus非接触式光学应变测量系统所测得的实际试制件的测量结果作为实验对照组,研究了Hill'48与Hill'90两种屈服模型对H220BD制件有限元模拟的适用性,分析了预测结果的可靠性。经过对比分析,发现使用Hill'90屈服模型的有限元仿真结果在缺陷预测、减薄率以及主次应变值的预测中更接近于实际试模件。对于材料塑性流动量的预测精度,Hill'90屈服模型与Hill'48屈服模型差值不大,因此,Hill'90屈服模型更适用于烘烤硬化钢H220BD制件的冲压有限元仿真。Taking the bake-hardening steel H220BD inner panel of automobile rear door as research object,and based on the Hill'48 and Hill'90 yield models,finite element simulation models of H220BD steel products were established,and two yield criterions were used for stamping simulation.Taking the measured results of actual products by Argus non-contact optical strain measuring system as the control group,the applicability of the two yield models to the H220BD product finite element simulation was studied,and the reliability of the predicted results was analyzed.Through comparative analysis,it is found that the finite element simulation results using Hill'90 yield model are closer to the actual test module in defect,thinning rate and primary and secondary strain value prediction.The prediction accuracy of plastic flow amount difference between the Hill'90 yield model and the Hill'48 yield model is not significant.Therefore,the Hill'90 yield model is more suitable for stamping finite element simulation of bake-hardening steel H220BD products.

关 键 词:材料屈服模型 烘烤硬化钢 冲压成形 有限元法 各向异性系数 

分 类 号:TG376[金属学及工艺—金属压力加工]

 

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