Behera, AK, Lauwers, B and Duflou, JR (2015) Tool path generation for single point incremental forming using intelligent sequencing and multi-step mesh morphing techniques. International Journal of Material Forming, 8 (4). pp. 517-532. ISSN 1960-6206
Abstract
A new methodology of generating optimized tool paths for incremental sheet forming is proposed in this work. The objective is to make parts with improved accuracy. To enable this, a systematic, automated technique of creating intermediate shapes using a morph mapping strategy is developed. This strategy is based on starting with a shape different from the final shape, available as a triangulated STL model, and using step-wise incremental deformation to the original mesh to arrive at the final part shape. Further, optimized tool path generation requires intelligent sequencing of partial tool paths that may be applied specifically to certain features on the part. The sequencing procedure is discussed next and case studies showing the application of the integrated technique are illustrated. The accuracy of the formed parts significantly improves using this integrated technique. The maximum deviations are brought down to less than 1 mm, while average absolute deviations of less than 0.5 mm are recorded.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, Springer-Verlag France. This is an author produced version of a paper published in International Journal of Material Forming. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/s12289-014-1174-y |
Keywords: | Incremental forming; Mesh morphing; Intelligent sequencing; Optimal tool paths; STL |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jun 2016 15:59 |
Last Modified: | 16 Jan 2018 00:21 |
Published Version: | http://dx.doi.org/10.1007/s12289-014-1174-y |
Status: | Published |
Publisher: | Springer-Verlag |
Identification Number: | 10.1007/s12289-014-1174-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97142 |