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2018 | OriginalPaper | Buchkapitel

Accuracy Analysis of Incrementally Formed Tunnel Shaped Parts

verfasst von : Amar Kumar Behera, Daniel Afonso, Adrian Murphy, Yan Jin, Ricardo Alves de Sousa

Erschienen in: Recent Advances in Intelligent Manufacturing

Verlag: Springer Singapore

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Abstract

Tunnel shaped parts with truncated pyramidal shapes were formed using Single Point Incremental Forming (SPIF) on a Stewart platform. The accuracy behavior of these parts was characterized by an error prediction response surface generated using Multivariate Adaptive Regression Splines (MARS). This response surface predicted over forming for low wall angle parts and under forming for higher wall angle parts. It is based on geometrical parameters associated with features on the part geometry and was used to compensate for inaccuracies in the part geometry. Feature detection was found to work well for tunnel shaped parts using similar thresholds as container shaped parts, while the maximum deviations were found to be lower at a wall angle of 60° compared to a part with wall angle 40°.

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Titel: Accuracy Analysis of Incrementally Formed Tunnel Shaped Parts
verfasst von: Amar Kumar Behera
Daniel Afonso
Adrian Murphy
Yan Jin
Ricardo Alves de Sousa
Verlag: Springer Singapore
Buch: Recent Advances in Intelligent Manufacturing
Print ISBN: 978-981-13-2395-9

Electronic ISBN: 978-981-13-2396-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-981-13-2396-6_4

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