Tool wear prediction on sheet metal forming die of automotive part based on numerical simulation method

Wang, X. Z., Masood, S. H. and Dingle, M. (2007). Tool wear prediction on sheet metal forming die of automotive part based on numerical simulation method. In: Martin Veidt, Faris Albermani, Bill Daniel, John Griffiths, Doug Hargreaves, Ross McAree, Paul Meehan and Andy Tan, Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007). 5th Australasian Congress on Applied Mechanics (ACAM 2007), Brisbane, Australia, (360-365). 10-12 December, 2007.

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P1.18.pdf Session P1.18: Tool wear prediction: Wang papers application/pdf 2.06MB 1961
Author Wang, X. Z.
Masood, S. H.
Dingle, M.
Title of paper Tool wear prediction on sheet metal forming die of automotive part based on numerical simulation method
Conference name 5th Australasian Congress on Applied Mechanics (ACAM 2007)
Conference location Brisbane, Australia
Conference dates 10-12 December, 2007
Proceedings title Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007)
Place of Publication Brisbane
Publisher Engineers Australia
Publication Year 2007
Year available 2008
Sub-type Fully published paper
ISBN 0 8582 5862 5
Editor Martin Veidt
Faris Albermani
Bill Daniel
John Griffiths
Doug Hargreaves
Ross McAree
Paul Meehan
Andy Tan
Volume 1
Start page 360
End page 365
Total pages 5
Collection year 2007
Language eng
Abstract/Summary Tool wear is a main concern in the sheet metal forming of automobile parts due to the development and application of new materials and the high requirement of parts quality in automobile production. However, it is difficult and time-consuming to predict tool wear using a traditional method. This paper provides a rapid numerical simulation approach for predicting the tool wear on sheet metal forming die. The simulation was carried out using the finite element software AutoFormâ„¢. A tool wear model was presented as a foundation of the simulation. The recommended protection method for the die surface and the prediction of tool worn areas was obtained from the simulation. The predicted results were in accordance with the results obtained from the on-site production. The influences of the contact pressure and drawing depth on the tool worn area distribution were also investigated based on the simulation outcome.
Subjects 290501 Mechanical Engineering
Keyword AutoForm software
finite element analysis
sheet metal forming
simulation
tool wear prediction
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Thu, 13 Mar 2008, 10:04:46 EST by Laura McTaggart on behalf of School of Engineering