Open AccessEnhancement of springback prediction of AHSS parts by advanced friction modelling
Author(s) -
Ulas Durmaz,
Sebastian Heibel,
Thomas Schweiker,
Marion Merklein,
S Berahmani,
J. Hol,
P. Naegele
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1157/1/012033
Subject(s) - sheet metal , flange , blank , deep drawing , friction coefficient , forming processes , die (integrated circuit) , constant (computer programming) , materials science , computation , coefficient of friction , process (computing) , structural engineering , mechanical engineering , mechanics , engineering , computer science , composite material , algorithm , physics , programming language , operating system
The complex springback behaviour of advanced high strength steel parts makes a robust manufacturing process challenging, mainly in terms of part dimensional accuracy. Therefore, an accurate springback prediction using sheet metal forming simulation is of a great importance to realize reliable forming processes and to achieve the target geometry. An accurate springback prediction requires an exact computation of the elastic stresses from the plastic deformations, which can be influenced among others by the retention of the sheet metal and the frictional properties of the parts. However, the frictional behaviour in the forming process has been often simplified by using a constant friction coefficient in the simulation, which could lead to a significant deviation in the springback prediction. To address this limitation, TriboForm software provides an advanced friction model in which friction is a function of several process setting parameters, namely pressure, strain, temperature and velocity. In this contribution, the advanced friction models for DH800 and CP800 materials are generated. Compared to a constant friction coefficient of 0.15, it is found that the prediction of flange angle of deep drawn hat profiles, produced by several blank holder forces, can increase up to 70% and of the sheet’s draw-in up to 10%.