MATEC Web of Conferences
Volume 21, 20154th International Conference on New Forming Technology (ICNFT 2015)
|Number of page(s)||6|
|Published online||10 August 2015|
Probability assessment of mechanical trimming using hot half-trimming in hot stamping process
1 Graduate School of Convergence Science, Pusan National University, South Korea
2 PNU-IFAM Joint Research Center, Pusan National University, South Korea
3 School of Mechanical Engineering, Pusan National University, South Korea
a Corresponding author: e-mail: firstname.lastname@example.org
The objective of this study is to investigate the probability of mechanical trimming using hot half-trimming in actual hot stamping process. Hot half-trimmed part can be inaccurately positioned on mechanical trimming die by relatively low accuracy of automatic transferring system or manual way, leading to the change of clearance in mechanical trimming. Taking into account this position error, a suitable operation window for trimming of flat and inclined part was constructed by FE-simulation and then was verified by experiment. It was determined from the operation window that effective mechanical trimming for both flat and inclined part can be performed successfully with hot half-trimming depth of 1.0 mm in hot half-trimming and clearance between 0.1 mm and 0.124 mm in subsequent mechanical trimming, without regard to position error.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.