Title
Feedforward control to suppress the leading edge bulge in photopolymerization-based additive manufacturing
Author
Kozhevnikov, A.
Kunnen, R.P.J.
van Baars, G.E.
Clercx, H.J.H.
Publication year
2022
Abstract
Purpose – This study aims to examine the feasibility of feedforward actuation of the recoater blade position to alleviate the resin surface nonuniformity while moving over deep-to-shallow transitions of submerged (already cured) geometric features. Design/methodology/approach – A two-dimensional computational fluid dynamics (CFD) model has been used to determine optimized blade actuation protocols to minimize the resin surface non-uniformity. An experimental setup has been designed to validate the feasibility of the proposed protocol in practice. Findings – A developed protocol for the blade height actuation is applied to a rectangular stair-like configuration of the underlying part geometry. The evaluation of the actuation protocol revealed the importance of two physical length scales, the capillary length and the size of the flow recirculation cell below in the liquid resin layer below the blade. They determine, together with the length scales defining the topography (horizontal extent and depth), the optimal blade trajectory. This protocol has also shown its efficiency for application to more complicated shapes (and, potentially, for any arbitrary geometry). Practical implications – This study shows that incorporation of a feedforward control scheme in the recoating system might significantly reduce (by up to 80%) the surface unevenness. Moreover, this improvement of performances does not require major modifications of the existing architecture. Originality/value – The results presented in this work demonstrate the benefits of the integration of the feedforward control to minimize the leading edge bulges over underlying part geometries in stereolithography.
Subject
Deposition
Feedforward control
Fluid dynamics
Layer deposition
Leading edge bulge
Polymerization
Recoating
Stereolithography
Surface topography
Computational fluid dynamics
To reference this document use:
http://resolver.tudelft.nl/uuid:8e2576b5-3db9-42e1-9a26-164c6b0198e4
DOI
https://doi.org/10.1108/rpj-05-2021-0106
TNO identifier
967592
Publisher
Emerald Group Holdings Ltd.
ISSN
1355-2546
Source
Rapid Prototyping Journal, 28 (28), 1040-1059
Document type
article