A. Gameros
On the importance of stochasticity of composite workpiece structures for post-processing operations: An analysis of errors on fixturing problems
Gameros, A.; Diaz, O. Gavalda; Axinte, D.; Novovic, D.
Authors
O. Gavalda Diaz
Professor DRAGOS AXINTE dragos.axinte@nottingham.ac.uk
PROFESSOR OF MANUFACTURING ENGINEERING
D. Novovic
Abstract
As woven composites have attracted the attention of high-value industries, their broader implementation should be supported by an enhanced understating of the impact that their characteristic uneven surface has on high-precision post-processing operations (e.g. machining). Here, this gap is addressed by analysing the positioning error (i.e. linear/angular deviations from a reference) of woven composite workpieces prior post-processing operations. A bespoke model, tailored to simulate large stochastic surfaces, is presented and employed to construct several realistic “virtual workpieces” to study the interactions between the woven surface of the composite and the locating elements of a work-holding fixture. Results show that positioning errors are considerably reduced by improving the fixture’s geometric design, highlighting for the first time the crucial effect that the workpiece’s uneven surface has on post-processing operations. The versatility of the model allows its use on other applications where understanding this effect is critical (e.g. gripping during mechanical testing).
Citation
Gameros, A., Diaz, O. G., Axinte, D., & Novovic, D. (2021). On the importance of stochasticity of composite workpiece structures for post-processing operations: An analysis of errors on fixturing problems. Composite Structures, 274, Article 114362. https://doi.org/10.1016/j.compstruct.2021.114362
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 10, 2021 |
Online Publication Date | Jul 18, 2021 |
Publication Date | Oct 15, 2021 |
Deposit Date | Aug 24, 2021 |
Journal | Composite Structures |
Print ISSN | 0263-8223 |
Electronic ISSN | 1879-1085 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 274 |
Article Number | 114362 |
DOI | https://doi.org/10.1016/j.compstruct.2021.114362 |
Public URL | https://nottingham-repository.worktribe.com/output/5785913 |
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