Springback data from stamping and simulating the forming of advanced high strength steel

Hodgson, Peter, Rolfe, Bernard and Dingle, Matthew 2010, Springback data from stamping and simulating the forming of advanced high strength steel [data collection], Developing light weight automotive structures.

Attached Files
Name Description MIMEType Size Downloads

Field of Research 091307 Numerical Modelling and Mechanical Characterisation
Socio Economic Objective 861205 Sheet Metal Products
Name of data collection Springback data from stamping and simulating the forming of advanced high strength steel
Alternative title Springback data from stamping and simulating the forming of AHSS
Creator(s) Hodgson, Peter
Rolfe, BernardORCID iD for Rolfe, Bernard orcid.org/0000-0001-8516-6170
Dingle, Matthew
Contributor(s) Asgari, Alireza
Mullins, Jonathan
Clarke, Ben
Robertston, Leigh
Pereira, MichaelORCID iD for Pereira, Michael orcid.org/0000-0002-7885-5901
De Souza, Timothy
Collins, PaulORCID iD for Collins, Paul orcid.org/0000-0003-3308-8689
Related institution(s) Ford Motor Company of Australia
BlueScope Steel
Date completed 2010
Material type xls
Autoform results files
LS-Dyna results files
ANDS collection type dataset
Collection start date 2004-01-01
Collection end date 2010-12-31
Project name Developing light weight automotive structures
Project Description In Australia, most automotive companies are now considering advanced high strength, formable steels for weight reduction. These steels are extremely complex with little published research in key areas of their application. The objective is to develop a detailed understanding of the forming and post forming properties of a range of these steels and from this to design and produce new lighter weight automotive structures. This work will include improved finite element models to predict the shape as well as a detailed understanding of how to manufacture components from these steels at high production rates and the mechanical properties after manufacturing.
Description of resource 10GB, 100 items
Software required Commercially available sheet metal forming software packages: Abaqus, AutoForm, LS-Dyna
Keyword(s) sheet metal forming
finite element analysis
material variation
Ford Australia
advanced high strength steels
Language eng
Summary This dataset is comprised of a spreadsheet of simulation result files, cross-section geometries of stamped parts, strain results of cross-section of stamped parts, simulation data (strain stress displacement energies), and variation data of material properties of a single coil. This data is a collection of both experimental and simulation results from industrial and laboratory stamping of advanced high strength steels (AHSS). The steels that were stamped were a typical high-strength low-alloy (HSLA) steel, a transformation-induced plasticity (TRIP) steel, a super HSLA steel, and a dual phase (DP) steel. The selected part was an automatic Ford Falcon front cross-member component using the Ford Geelong stamping plant. The variation of the material and stamped parts was also collected.
GrantID ARC LP0455249
General notes The data was collected by computer simulations, laboratory measurements, and a mathematical model. It is organised by part and material.

The data's significance is its contribution to the development of AHSS with enhanced formability, which provides the opportunity for more complicated geometries to be formed within the automotive industry.

Ford Motor Company of Australia and BlueScope Steel were both industry partners involved in the project responsible for this data.
Contact details (email) bernie.rolfe@deakin.edu.au
Contact details (physical) School of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, Victoria 3216 Australia
Copyright notice ©Deakin University
Access conditions Restrictions apply to parts of the data. Enquiries should be emailed to Professor Bernard Rolfe.
Related work DU:30025332
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042604

Link to Related Work
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Created: Wed, 22 Feb 2012, 15:03:46 EST by Lesa Maclean

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