Samenvatting
In the context of additive manufacturing (AM) and 3D Printing, vat photopolymerization is an established technique in which photopolymer is selectively solidified to form a near-net-shape part. Photopolymerization-based AM is increasingly being adopted by the high-tech industry, but the technology still faces several challenges in terms of consistency in product quality, understanding of the UV curing process, in-situ process monitoring, and real-time closed-loop control. This paper aims to demonstrate the potential of model-based control of the UV curing process. The curing process is modelled and anticipatively controlled with an optimal control law for nonlinear systems, derived via a sequential linearization strategy. The potential of this approach is proven by means of both simulations that illustrate a one-dimensional spatial optimal tracking problem and experiments that validate a zero-dimensional controlled system.
Originele taal-2 | Engels |
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Titel | 2021 American Control Conference (ACC) |
Uitgeverij | Institute of Electrical and Electronics Engineers |
Pagina's | 1365-1370 |
Aantal pagina's | 6 |
ISBN van elektronische versie | 9781665441971 |
DOI's | |
Status | Gepubliceerd - 28 jul. 2021 |
Evenement | 2021 American Control Conference (ACC) - Virtual, Virtual, New Orleans, Verenigde Staten van Amerika Duur: 25 mei 2021 → 28 mei 2021 http://acc2021.a2c2.org/ |
Congres
Congres | 2021 American Control Conference (ACC) |
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Verkorte titel | ACC 2021 |
Land/Regio | Verenigde Staten van Amerika |
Stad | Virtual, New Orleans |
Periode | 25/05/21 → 28/05/21 |
Internet adres |
Bibliografische nota
Publisher Copyright:© 2021 American Automatic Control Council.