An Integrated Approach to Accurate Part Manufacture in Single Point Incremental Forming Using Feature Based Graph Topology

Amar Kumar Behera; Bert Lauwers; Joost R. Duflou

doi:10.4028/www.scientific.net/KEM.504-506.869

Paper Titles

Viscoplastic Regularization of Local Damage Models: A Latent Solution
p.845

Any Effect of Processing History on Precipitation Hardening of Metastable Austenitic Stainless Steels
p.851

Optimizing Roll Forming Processes with the Aid of a New Numerical Algorithm
p.857

Preliminary Studies on the Determination of FLD for Single Point Incremental Sheet Metal Forming
p.863

An Integrated Approach to Accurate Part Manufacture in Single Point Incremental Forming Using Feature Based Graph Topology
p.869

Integrated Process Design for Two Robots Based Incremental Sheet Metal Forming
p.877

FlexDie: A Flexible Tooling-Concept for Incremental Sheet Forming
p.883

Ludwik’s Model Parameter Identification for V-Bending Simulations with Ti64 and MS1200
p.889

Methodology for the Analysis of the Process Behaviour of Advanced High Strength Steels in Bending and Shearing Operations
p.895

HomeKey Engineering MaterialsKey Engineering Materials Vols. 504-506An Integrated Approach to Accurate Part...

An Integrated Approach to Accurate Part Manufacture in Single Point Incremental Forming Using Feature Based Graph Topology

Abstract:

Previous studies have shown that optimized tool paths based on behavior of individual features and feature interactions can be used to improve the accuracy of features in parts produced by single point incremental forming. These tool paths are generated with compensated CAD files of the part, which result from a prediction of deviations of individual features. However, in order to improve the accuracy of an entire part, it is important to systematically look at behavior of all the individual features and all feasible interactions between features. In this paper, the authors present a graph topology approach to integrating the effects of the behavior of all features present in a part. For any given part, a conceptual graph is constructed representing all the features and connecting them based on their spatial locations with conceptual relations. Next, all possible feature interactions based on the generated graph are analyzed, and the deviations due to the feasible interactions in an uncompensated test are predicted. Depending on the feature types and interactions present, a comprehensive strategy for accurate part manufacture is generated. This strategy may be composed of a selection of one or more complementary tool path strategies for compensating the anticipated deviations on the part. Case studies illustrating improvement in accuracy of parts produced by this technique are discussed next to justify the use of the graph based approach.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 504-506)

Pages:

869-876

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.504-506.869

Citation:

Cite this paper

Online since:

February 2012

Authors:

Amar Kumar Behera, Bert Lauwers, Joost R. Duflou

Keywords:

Accuracy, Conceptual Graphs, Feature Interaction, FSPIF, Incremental Forming

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] J. Verbert, J. Duflou, B. Lauwers, Feature based approach for increasing the accuracy of the SPIF process, Key Engineering Materials 344 (2007) 527-534.

DOI: 10.4028/www.scientific.net/kem.344.527

Google Scholar

[2] M. Bambach, B. Araghi, G. Hirt, Strategies to improve the geometric accuracy in asymmetric single point incremental forming, Prod. Eng. Res. Devel. 3 (2009) 145-156.

DOI: 10.1007/s11740-009-0150-8

Google Scholar

[3] A.K. Behera, H. Vanhove, B. Lauwers, J.R. Duflou, Accuracy Improvement in Single Point Incremental Forming Through Systematic Study of Feature Interactions, Key Engineering Materials 473 (2011) 881-888.

DOI: 10.4028/www.scientific.net/kem.473.881

Google Scholar

[4] R. E. Billo, M. Henderson, R. Rucker, Applying conceptual graph inferencing to feature-based engineering analysis, Computers in Industry, 13:3 (1989) 195-214.

DOI: 10.1016/0166-3615(89)90111-5

Google Scholar

[5] J. Verbert, B. Belkassem, C. Henrard, A. M. Habraken, J. Gu, H. Sol, B. Lauwers, J. R. Duflou, Multi-Step toolpath approach to overcome forming limitations in single point incremental forming, International Journal of Material Forming, 1 (2008) 1203-1206.

DOI: 10.1007/s12289-008-0157-2

Google Scholar

[6] J. Verbert, A.K. Behera, B. Lauwers, J.R. Duflou, Multivariate Adaptive Regression Splines as a Tool to Improve the Accuracy of Parts Produced by FSPIF, Key Engineering Materials 473 (2011) 841-846.

DOI: 10.4028/www.scientific.net/kem.473.841

Google Scholar

[7] G. Ambrogio, L. Napoli, L. Filice, A novel approach based on multiple back-drawing incremental forming to reduce geometry deviation, International Journal of Material Forming, 2(1) (2009) 9-12.

DOI: 10.1007/s12289-009-0498-5

Google Scholar