Efficient force prediction for incremental sheet forming and experimental validation

Li, Yanle, Liu, Zhaobing, Lu, Haibo, Daniel, W. J. T. (Bill), Liu, Sheng and Meehan, Paul A. (2014) Efficient force prediction for incremental sheet forming and experimental validation. International Journal of Advanced Manufacturing Technology, 73 1-4: 571-587. doi:10.1007/s00170-014-5665-2


Author Li, Yanle
Liu, Zhaobing
Lu, Haibo
Daniel, W. J. T. (Bill)
Liu, Sheng
Meehan, Paul A.
Title Efficient force prediction for incremental sheet forming and experimental validation
Journal name International Journal of Advanced Manufacturing Technology   Check publisher's open access policy
ISSN 0268-3768
1433-3015
Publication date 2014-02-19
Sub-type Article (original research)
DOI 10.1007/s00170-014-5665-2
Open Access Status
Volume 73
Issue 1-4
Start page 571
End page 587
Total pages 17
Place of publication London, United Kingdom
Publisher Springer
Collection year 2015
Language eng
Abstract Incremental sheet forming (ISF) has been attractive during the last decades because of its greater flexibility, increased formability and reduced forming forces. However, traditional finite element simulation used for force prediction is significantly time consuming. This study aims to provide an efficient analytical model for tangential force prediction. In the present work, forces during the cone-forming process with different wall angles and step-down sizes are recorded experimentally. Different force trends are identified and discussed with reference to different deformation mechanisms. An efficient model is proposed based on the energy method to study the deformation zone in a cone-forming process. The effects of deformation modes from shear, bending and stretching are taken into account separately by two sub-models. The final predicted tangential forces are compared with the experimental results which show an average error of 6 and 11 % in respect to the variation of step-down size and wall angle in the explored limits, respectively. The proposed model would greatly improve the prediction efficiency of forming force and benefit both the design and forming process.
Keyword Bending
Formability
Forming force
Incremental sheet forming
Prediction
Shear
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2015 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 21 Feb 2014, 16:47:25 EST by Sheng Liu on behalf of School of Mechanical and Mining Engineering