Online optimisation and active control of the cure process of thick composite laminates
| dc.contributor.author | Tifkitsis, Konstantinos | |
| dc.contributor.author | Winistoerfer, A. | |
| dc.contributor.author | Skordos, Alexandros A. | |
| dc.date.accessioned | 2023-01-23T10:50:57Z | |
| dc.date.available | 2023-01-23T10:50:57Z | |
| dc.date.freetoread | 2024-01-23 | |
| dc.date.issued | 2023-02-03 | |
| dc.date.pubOnline | 2023-01-19 | |
| dc.description.abstract | This paper addresses the development of an active control tool for the in-situ optimisation of the cure process of thick composite parts. The methodology integrates a cure process model with real time monitoring data exploring potential temperature dwells that accelerate the curing while avoiding undesirable thermal gradients. The cure process simulation is based on a Finite Element (FE) model solution validated in the curing of a thick composite flat panel with an average absolute error of about 1.8 °C. The active control tool interacts PID controller of an oven setting a new cure temperature periodically. The implementation of active control tool during the curing of a thick carbon fibre/epoxy cable has the capability to determine in real time optimal solutions minimising process duration whilst also satisfying constraints in temperature overshoot. A process duration reduction of about 70 % can be achieved compared to a nominal cure cycle with a maximum temperature overshoot lower than 9 °C. The active control tool can replace off-line optimisation tools exploiting in situ with real time monitoring to drive the process and minimise the effects of uncertainty. | en_UK |
| dc.description.journalName | Journal of Manufacturing Processes | |
| dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC): EP/K031430/1 | en_UK |
| dc.format.extent | 221-230 | |
| dc.identifier.citation | Tifkitsis KI, Winistoerfer A, Skordos AA. (2023) Online optimisation and active control of the cure process of thick composite laminates, Journal of Manufacturing Processes, Volume 87, February 2023, pp. 221-230 | en_UK |
| dc.identifier.issn | 1526-6125 | |
| dc.identifier.uri | https://doi.org/10.1016/j.jmapro.2023.01.027 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/19003 | |
| dc.identifier.volumeNo | 87 | |
| dc.language.iso | en | en_UK |
| dc.publisher | Elsevier | en_UK |
| dc.relation.isreferencedby | https://dspace.lib.cranfield.ac.uk/handle/1826/21978 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Composites | en_UK |
| dc.subject | Process monitoring | en_UK |
| dc.subject | Cure | en_UK |
| dc.subject | Automation | en_UK |
| dc.subject | Process optimisation | en_UK |
| dc.title | Online optimisation and active control of the cure process of thick composite laminates | en_UK |
| dc.type | Article | en_UK |
| dcterms.dateAccepted | 2023-01-06 |