Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites
Abstract
An intelligent optimization model aiming at off-line or pre-series optimization of the thermal curing cycle of polymer matrix composites is proposed and discussed. The computational procedure is based on the coupling of a finite element thermochemical process model, dynamic artificial neural networks and genetic algorithms. Objective of the optimization routine is the maximization of the composite degree of cure by the definition of the autoclave temperature. Obtained outcomes evidenced the capability of the method as well as its efficiency with respect to hard computing or experimental procedures.
Keywords:
Optimization / Genetic algorithm / Curing process / Artificial neural networkSource:
Applied Composite Materials, 2016, 23, 5, 1047-1063Publisher:
- Springer, Dordrecht
Funding / projects:
- International Project University of Salerno - University of Belgrade [05/68-6986/2-11]
- Scientific-technological support to enhancing the safety of special road and rail vehicles (RS-MESTD-Technological Development (TD or TR)-35045)
- Development, design and implementation of modern strategies of integrated management of operations and vehicle and mechanization maintenance in auto transport, mining and energy (RS-MESTD-Technological Development (TD or TR)-35030)
DOI: 10.1007/s10443-016-9499-y
ISSN: 0929-189X
WoS: 000386509300008
Scopus: 2-s2.0-84976618137
Collections
Institution/Community
Mašinski fakultetTY - JOUR AU - Aleksendrić, Dragan AU - Carlone, Pierpaolo AU - Ćirović, Velimir PY - 2016 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2484 AB - An intelligent optimization model aiming at off-line or pre-series optimization of the thermal curing cycle of polymer matrix composites is proposed and discussed. The computational procedure is based on the coupling of a finite element thermochemical process model, dynamic artificial neural networks and genetic algorithms. Objective of the optimization routine is the maximization of the composite degree of cure by the definition of the autoclave temperature. Obtained outcomes evidenced the capability of the method as well as its efficiency with respect to hard computing or experimental procedures. PB - Springer, Dordrecht T2 - Applied Composite Materials T1 - Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites EP - 1063 IS - 5 SP - 1047 VL - 23 DO - 10.1007/s10443-016-9499-y ER -
@article{ author = "Aleksendrić, Dragan and Carlone, Pierpaolo and Ćirović, Velimir", year = "2016", abstract = "An intelligent optimization model aiming at off-line or pre-series optimization of the thermal curing cycle of polymer matrix composites is proposed and discussed. The computational procedure is based on the coupling of a finite element thermochemical process model, dynamic artificial neural networks and genetic algorithms. Objective of the optimization routine is the maximization of the composite degree of cure by the definition of the autoclave temperature. Obtained outcomes evidenced the capability of the method as well as its efficiency with respect to hard computing or experimental procedures.", publisher = "Springer, Dordrecht", journal = "Applied Composite Materials", title = "Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites", pages = "1063-1047", number = "5", volume = "23", doi = "10.1007/s10443-016-9499-y" }
Aleksendrić, D., Carlone, P.,& Ćirović, V.. (2016). Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites. in Applied Composite Materials Springer, Dordrecht., 23(5), 1047-1063. https://doi.org/10.1007/s10443-016-9499-y
Aleksendrić D, Carlone P, Ćirović V. Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites. in Applied Composite Materials. 2016;23(5):1047-1063. doi:10.1007/s10443-016-9499-y .
Aleksendrić, Dragan, Carlone, Pierpaolo, Ćirović, Velimir, "Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites" in Applied Composite Materials, 23, no. 5 (2016):1047-1063, https://doi.org/10.1007/s10443-016-9499-y . .