| Issue |
MATEC Web Conf.
Volume 257, 2019
2018 International Conference on Progress in Mechanical and Aerospace Engineering (PMAE 2018)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 5 | |
| Section | Materials Science and Mechanical Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201925702010 | |
| Published online | 16 January 2019 | |
Finite Element Simulation of Forming Process for Automotive Components from Advanced High Strength Steel
King Mongkut’s University of Technology Thonburi, Department of Tool and Materials Engineering, 126 Pracha Uthit Rd., Bang Mod, Thung Kru, Bangkok 10140, Thailand
Advance high strength (AHS) steel has been widely used in the automotive industry and order to reduce the weight of automotive components that effect to reduce fuel consumption, but vehicles maintain safety. However, forming process with AHS steel has many problems which the main defect was spring-back. Therefore, the usage of finite element (FE) method simulation with kinematic hardening materials model sustains and improve production processes. Yoshida-Uemori (Y-U) model is the one of kinematic hardening materials model that show the great capability for prediction of elastic recovery behavior. Consequencely, this work has been research on AHS steel as the NSC980D grade for automotive components in the drawing process and applied FE simulation with Y-U model to improve the production process. Moreover, NSC980D steel was inspected in tension-compression and tensile tests were proceeded. As a result, material parameters from testing simulate with designed die and improvement were shown. Finally, comparing FE simulation forming with experiment forming, showed FE simulation with Y-U model is suitable for prediction and process improvement.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.