Accuracy Improvement in Single Point Incremental Forming through Systematic Study of Feature Interactions

Amar Kumar Behera; Hans Vanhove; Bert Lauwers; Joost R. Duflou

doi:10.4028/www.scientific.net/KEM.473.881

Paper Titles

Robot-Based Incremental Sheet Metal Forming – Increasing the Geometrical Accuracy of Complex Parts
p.853

Finding the Best Machine for SPIF Operations - a Brief Discussion
p.861

On the Formability and Microstructural Characteristics of AISI 301 Parts Formed by Single-Point Incremental Forming
p.869

The Simulation of Robot Based Incremental Sheet Metal Forming by Means of a New Solid-Shell Finite Element Technology and a Finite Elastoplastic Model with Combined Hardening
p.875

Accuracy Improvement in Single Point Incremental Forming through Systematic Study of Feature Interactions
p.881

CAM-Solution for Two Robots Based Incremental Sheet Metal Forming
p.889

Tool Directionality in Contour-Based Incremental Sheet Forming: an Experimental Study on Product Properties and Formability
p.897

Tool Path Strategies for Single Point Incremental Forming
p.905

Shape Distortion and Thickness Distribution during SPIF Processes: Expermental and Numerical Analysis
p.913

HomeKey Engineering MaterialsKey Engineering Materials Vol. 473Accuracy Improvement in Single Point Incremental...

Accuracy Improvement in Single Point Incremental Forming through Systematic Study of Feature Interactions

Abstract:

Previous studies have shown that feature detection and part segmentation are useful tools to generate compensated toolpaths for single point incremental forming leading to improvement in accuracy of manufactured parts. However, in most practical applications, features do not occur by themselves. Rather, they occur in combination with other features, and the presence of the neighbouring features influences the behaviour of the feature of interest. The final shape of the formed part depends on the interaction between the features. In this study, an attempt has been made to generate a complete taxonomy of common features relevant for incrementally formed parts. This taxonomy is then utilized to generate a matrix of feature interactions, and to classify them as feasible or not. From the subset of feasible feature interactions, a number of cases are analyzed to illustrate the effect of the interactions on the magnitude and nature of inaccuracies resulting in uncompensated parts. Strategies to use the knowledge of the interaction between these features to improve the accuracy of the manufactured parts are then discussed with the help of experimental case studies.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volume 473)

Pages:

881-888

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.473.881

Citation:

Cite this paper

Online since:

March 2011

Authors:

Amar Kumar Behera, Hans Vanhove, Bert Lauwers, Joost R. Duflou

Keywords:

Accuracy, Feature, Feature Interaction, Incremental Forming, SPIF, Taxonomy

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] R. Jagirdar, V. K. Jain and J. L. Batra: International Journal of Machine Tools & Manufacture, Vol. 41 (2001), pp.1295-1322.

DOI: 10.1016/s0890-6955(01)00006-2

Google Scholar

[2] J. Verbert, J. Duflou and B. Lauwers: Key Engineering Materials Vol. 344 (2007), pp.527-534.

Google Scholar

[3] M. Bambach, B. Taleb Araghi and G. Hirt: Prod. Eng. Res. Devel., Vol. 3 (2009), pp.145-156.

DOI: 10.1007/s11740-009-0150-8

Google Scholar

[4] G. Ambrogio, I. Costantino, L. De Napolia, L. Filice, L. Fratini, and M. Muzzupappa: Journal of Materials Processing Technology, Volumes 153-154 (2004), pp.501-507.

DOI: 10.1016/j.jmatprotec.2004.04.139

Google Scholar

[5] J M Allwood, G P F King, and J Duflou: Proc I Mech E, Part B, J Eng Manuf, Vol 219 (2004), No. B2, pp.239-244.

Google Scholar

[6] J. Jeswiet, F. Micari, G. Hirt, A. Bramley, J. Duflou and J. Allwood: CIRP Annals-Manufacturing Technology, Vol. 54(2) (2005), pp.623-649.

DOI: 10.1016/s0007-8506(07)60021-3

Google Scholar

[7] S. Ferber, J. Haag and J. Savolainen: Lecture Notes in Computer Science, Volume 2379 (2002), pp.37-60.

Google Scholar

[8] S. Hansman and R. Hunt: Computers & Security, Vol 24(1) (2005), pp.31-43.

Google Scholar

[9] P. Lefebvre and B. Lauwers: Proc. of 4th CIRP ICME International Seminar on Intelligent computation in Manufacturing Engineering (2004), pp.345-350.

Google Scholar