4.6 Article

Effect of Lankford Coefficients on Springback Behavior during Deep Drawing of Stainless Steel Cylinders

Journal

MATERIALS
Volume 16, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/ma16124321

Keywords

lankford coefficient; deep drawing; springback; stainless steel cylinder

Ask authors/readers for more resources

Accurate prediction of springback in deep-drawing of anisotropic stainless steel sheets is becoming more important. The anisotropy of sheet thickness direction plays a crucial role in predicting springback and final shape. Numerical simulation and experiments investigated the effect of Lankford coefficients (r(00), r(45), r(90)) at different angles on springback. The results show that each Lankford coefficient has a different impact on springback.
Accurate prediction of springback is increasingly required during deep-drawing formation of anisotropic stainless steel sheets. The anisotropy of sheet thickness direction is very important for predicting the springback and final shape of a workpiece. The effect of Lankford coefficients (r(00), r(45), r(90)) with different angles on springback was investigated using numerical simulation and experiments. The results show that the Lankford coefficients with different angles each have a different influence on springback. The diameter of the straight wall of the cylinder along the 45-degree direction decreased after springback, and showed a concave valley shape. The Lankford coefficient r(90) had the greatest effect on the bottom ground springback, followed by r(45) and then r(00). A correlation was established between the springback of workpiece and Lankford coefficients. The experimental springback values were obtained by using a coordinate-measuring machine and showed good agreement with the numerical simulation results.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available