Understanding temperature and contact pressure in hot stamped channels Rolfe, Bernard, Zhang, Peng, Abdollahpoor, Amir, Wang, Chengyong and Pereira, Michael 2015, Understanding temperature and contact pressure in hot stamped channels, in CHS2 2015 : 5th International Conference on Hot Sheet Metal Forming of High-Performance Steel, Verlag Wissenschaftliche Scripten, Auerbach, Germany, pp. 793-800. Attached Files Name Description MIMEType Size Downloads Title Understanding temperature and contact pressure in hot stamped channels Author(s) Rolfe, Bernard orcid.org/0000-0001-8516-6170 Zhang, Peng Abdollahpoor, Amir Wang, Chengyong Pereira, Michael orcid.org/0000-0002-7885-5901 Conference name Hot Sheet CHS2 Metal Forming of High Performance Steel. Conference (5th : 2015 : Toronto, Canada) Conference location Toronto, Canada Conference dates 31 May- 3 Jun. 2015 Title of proceedings CHS2 2015 : 5th International Conference on Hot Sheet Metal Forming of High-Performance Steel Publication date 2015 Start page 793 End page 800 Total pages 8 Publisher Verlag Wissenschaftliche Scripten Place of publication Auerbach, Germany Summary This paper investigates the temperature and contact pressure conditions in hot stamped channels of boron steel. Hot stamping has been used for many years to produce high strength structural auto-motive components. The high tensile strengths achievable by hot stamping is beneficial where the intrusion during a vehicle crash is not desirable – e.g. for the vehicle occupant compartment. How-ever, the high blank temperatures and high temperature cycling causes a large amount of wear in the tooling. These conditions have led to high tool failures and die maintenance costs. Thus, un-derstanding the main causes of wear behaviour in the hot stamping process is of high interest to hot stampers. To this aim, a generic 2D thermo-mechanical finite element model of a hat-shaped crash formed hot stamped component was developed (based on the authors previous hot stamp model), and a modified phase transformation model based on Scheil’s additive principle has been applied. The model was created in the finite element software ABAQUS Standard V6.13, including convection and radiation when the component was transferred from furnace to the tool as well as the air-cooling process. A USDFLD subroutine was used to model the phase transformation and a HET-VAL subroutine was used to model the latent heat. Contact heat conductance was a function of the pressure. The authors have used techniques from their previous work on tool wear estimation for cold stamping to estimate the contact pressure on the tooling, and the amount of sliding that occurs over the tooling, and the corresponding tooling temperature. This data provides a unique data set to understand the wear on the tooling, and will eventually lead to a model for estimating tooling life. Language eng Field of Research 091006 Manufacturing Processes and Technologies (excl Textiles) 091309 Tribology Socio Economic Objective 861205 Sheet Metal Products HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2015, Verlag Wissenschaftliche Scripten Persistent URL http://hdl.handle.net/10536/DRO/DU:30074690 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 24 Jul 2015, 14:01:12 EST Fri, 24 Jul 2015, 14:02:02 EST Sat, 25 Jul 2015, 05:00:28 EST Sat, 25 Jul 2015, 14:55:02 EST Wed, 27 Apr 2016, 11:09:33 EST Thu, 28 Apr 2016, 06:06:12 EST Wed, 13 Jul 2016, 14:38:50 EST Wed, 13 Jul 2016, 14:43:36 EST Mon, 18 Jul 2016, 15:39:27 EST Wed, 12 Oct 2016, 13:51:46 EST Wed, 01 Mar 2017, 07:12:49 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 436 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Wed, 27 Apr 2016, 11:09:33 EST

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