Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Alexandros A. Skordos"'
Publikováno v:
Additive Manufacturing. 61:103353
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c5211797fb29046fc69447a3dcd1fca
https://doi.org/10.1016/j.addma.2022.103353
https://doi.org/10.1016/j.addma.2022.103353
Autor:
Alexandros A. Skordos, D. M. Lombetti
Publikováno v:
Composite Structures. 209:694-699
This paper reports the development of multifunctional composites based on the use of metallic tufting. Stainless steel and copper are used to modify the through thickness mechanical and electrical behaviour of epoxy/carbon composites. The mechanical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e579c468184bb7f30788e6e130b65c6a
https://doi.org/10.1016/j.compstruct.2018.11.005
https://doi.org/10.1016/j.compstruct.2018.11.005
Publikováno v:
Advanced Manufacturing: Polymer & Composites Science, Vol 5, Iss 1, Pp 17-28 (2019)
Advanced Manufacturing: Polymer & Composites Science, 5(1)
Advanced Manufacturing: Polymer & Composites Science, 5(1)
The present paper addresses the multi-objective optimization of the filling stage of the Resin Infusion manufacturing process. The optimization focuses on the selection of an optimal temperature profile which addresses the tradeoff between filling ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d27e73a380684ab9d536f74d93369b5f
https://doaj.org/article/0ccdf2efc1b94c1ea9f173317a2074df
https://doaj.org/article/0ccdf2efc1b94c1ea9f173317a2074df
Publikováno v:
Additive Manufacturing. 54:102719
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::635cff695906ab47b883989c4a3e104d
https://doi.org/10.1016/j.addma.2022.102719
https://doi.org/10.1016/j.addma.2022.102719
A dielectric sensor appropriate for process monitoring of carbon fibre composites manufacturing has been optimised and implemented in Resin Transfer Moulding (RTM). The sensor comprises a pair of twisted insulated copper wires and can be adapted to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ad483870fcf354c977a717b3bed7d4c
https://dspace.lib.cranfield.ac.uk/handle/1826/15984
https://dspace.lib.cranfield.ac.uk/handle/1826/15984
This paper addresses the development of a digital twin, based on an inversion procedure, integrating process monitoring with simulation of composites manufacturing to provide a real time probabilistic estimation of process outcomes. A computationally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02a23376f0549a2ddf0e61e806cb4b18
https://dspace.lib.cranfield.ac.uk/handle/1826/15911
https://dspace.lib.cranfield.ac.uk/handle/1826/15911
Energy storage devices are one of the hot spots in recent years due to the environmental problems caused by the large consumption of unsustainable energy such as petroleum or coal. Capacitors are a common device for energy storage, especially electri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c40bbb98d7984e1cedcae4c81b5f5d29
https://dspace.lib.cranfield.ac.uk/handle/1826/15917
https://dspace.lib.cranfield.ac.uk/handle/1826/15917
Publikováno v:
Additive Manufacturing. 48:102458
Additive manufacturing of continuous reinforced polymer is currently a focus topic in the composite manufacturing industry as it represents a viable solution to satisfy the requirements of high volume production and automation that could facilitate e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::018eb12ca1a5241fd77dff8eff08a4de
https://doi.org/10.1016/j.addma.2021.102458
https://doi.org/10.1016/j.addma.2021.102458
Publikováno v:
Polymer. 236:124304
Matrix formulation for aero-grade high-performance carbon fibre reinforced thermoset composites is a challenging task relying on extensive knowledge of chemistry, legacy information and trial-and-error iterations to identify a suitable pre-polymer re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee6b8ca03b902191e5f781e014eb43d9
https://doi.org/10.1016/j.polymer.2021.124304
https://doi.org/10.1016/j.polymer.2021.124304
This paper addresses the development of an inversion scheme based on Markov Chain Monte Carlo integrating process modelling with monitoring data for the real-time probabilistic estimation of unknown stochastic input parameters such as heat transfer c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a9abfb71ff67da47a08f5e4d4553b8
https://dspace.lib.cranfield.ac.uk/handle/1826/14826
https://dspace.lib.cranfield.ac.uk/handle/1826/14826