Characterization of shape and dimensional accuracy of incrementally formed titanium sheet parts

Behera, Amar Kumar; Lu, Bin; Ou, Hengan

Abstract

Single Point Incremental Forming (SPIF) is a relatively new process that has been recently used to manufacture medical grade titanium sheets for implant devices. However, one limitation of the SPIF process may be characterized by dimensional inaccuracies of the final part as compared with the original designed part model. Elimination of these inaccuracies is critical to forming medical implants to meet required tolerances. In this study, a set of basic geometric shapes were formed using SPIF to characterize the dimensional inaccuracies of grade 1 titanium sheet parts. Response surface functions are then generated to model the deviations at individual vertices of the STL model of the part as a function of geometric shape parameters such as curvature, depth, wall angle, etc. The generated response functions are further used to predict dimensional deviations in a specific clinical implant case. The predicted deviations show a reasonable match with the actual formed shape and are used to generate optimized tool paths for minimized shape and dimensional inaccuracy. Further, an implant part is then made using the accuracy characterization functions for improved accuracy. The results show an improvement in shape and dimensional accuracy of incrementally formed titanium medical implants.

Citation

Behera, A. K., Lu, B., & Ou, H. (2015). Characterization of shape and dimensional accuracy of incrementally formed titanium sheet parts.

• Conference Name: 4th International Conference on New Forming Technology (ICNFT 2015)
• End Date: Aug 9, 2015
• Publication Date: Aug 6, 2015
• Deposit Date: Aug 12, 2015
• Publicly Available Date: Aug 12, 2015
• Peer Reviewed: Peer Reviewed
• Keywords: accuracy; titanium; implants; SPIF
• Public URL: https://nottingham-repository.worktribe.com/output/759384
• Publisher URL: http://dx.doi.org/10.1051/matecconf/20152104014
• Related Public URLs: http://www.matec-conferences.org/articles/matecconf/abs/2015/02/matecconf-icnft2015_04014/matecconf-icnft2015_04014.html
• Additional Information: Published in: MATEC Web of Conferences; Volume 21, 2015 / Y. Qin, T.A. Dean, J. Lin, S.J. Yuan and F. Vollertsen (Eds.) ISBN 9782759818235 doi: 10.1051/matecconf/20152104014